DESC:FIELD OF THE INVENTION
Embodiment of the present invention relates to a system and method for providing healthy living and well-being recommendation to the user based on humor imbalances in body and more particularly for a system and method that is capable of determining body imbalances and recommending personalized healing measures for the user for his overall well-being.
BACKGROUND OF THE INVENTION
Ayurvedic science has been known for ages as a science of life, which derives its essence from five primordial substances such as air, earth, water, fire and ether. The combination of these five elements form three principal humors of human body that drive our mental and physical tendencies. Each individual is born with these element combinations that are encoded to form their basic nature or prakriti according to predominance of any of the three principal humors, namely Vatta (air & space energy), Pitta (fire and water energy) and Kapha (ether and water energy).
The psychological correlates which play a role in the functioning and behavior of humans is the Trigunas—Sattva (white, knowledge, happiness, Rajas (red, activity, pain) and Tamas (dark, resistance or inertia, confusion). Any imbalance in any of these principal forces invites ill-health, poor temperaments, and other abnormalities, the causes for which are generally not well understood by the commoners.
Nowadays everyone seems to be suffering from one or more critical illness at a very early stage of life. Generally, the medical practitioners prescribe same/similar set of drugs to the individuals diagnosed with apparently same/similar illness. This “one drug fits all” phenomena used to address apparently same disease elicits a varied response from different individuals, causing varying level of complications and unwanted side effects. Since each individual is unique, it is highly unlikely that he will respond in exactly same or similar way to the prescribed drug or medicine as no two persons suffer from apparently similar disease.
With no consideration and understanding of these vital body parameters and body humors, expecting a root cause eradication from general prescription drugs will be an overestimation. Moreover, if gone wrong in supposed interaction with body composition, one may even face fatal consequences. Precisely, it is utmost important for every individual to understand his body type, body composition and his basic prakriti for his overall well-being, to live a balanced and healthy life and prevent himself from being captivated by any grave illness or disease.
Amongst many known traditional methods for determining prakriti type, measuring pulse patterns have found to play a pivotal role in identifying major physiological and pathological condition of body. As each individual apparently has unique set of physical, mental, emotional temperaments as well as fingerprints, knowing the exact body condition at a given point of time is critical for one’s healthy lifestyle and all round well-being. Preserving one’s health by way of moderating three vital forces constituting human body and dwelling in consonance with nature is an oldest medical science for healing, which the system and method of present disclosure attempts to leverage.
Like identification of pulse pattern, there are some other known analysis methods and results that are empirical and provides for precision medication customized and personalized for each individual. For example, analysis based on pulse rate and body temperature, or analysis based on a questionnaire related to background and lifestyle or analysis based on physiological features like body frame, weight, height, skin etc. are known in medical science for more than 5000 years. However, this encompasses only traditional textual and manual analysis, and no direct measurements of these analytical procedures and therapies have been applied so far. Even the professionals of today are unable to measure, analyse and interpret the subtle indications of these vital human elements, which have been known only to practitioners who have been immersed in mastering this skill for almost 40-50 years.
Furthermore, even if one’s basic prakriti is known, yet the role played by dynamically varying real-life situations and response temperament of individuals to such situations does not get objectively measured. It is also nearly impossible to have an expert at one’s disposal for understanding one’s mental and physical health in any given situation. This sets stage for a solution that can help an individual know his basic traits and prakriti, understand his varying autonomic response with changing life-situations, and be guided with self-help tools for his overall well-being taking into account the principal energy and forces constituting his body.
The present disclosure sets forth system and method for measuring imbalance and modulations in three constituting forces of human body along with individual temperaments towards dynamic real world situations such that a personalized course of healing may be either prescribed or inferred by the individual himself from the direct and objective measurements and calculations done by the system and method of present solution. This disclosure embodies advantageous alternatives and improvements to existing body humor measuring systems and methods, and that may address one or more of the challenges or needs mentioned herein, as well as provide other benefits and advantages.
OBJECT OF THE INVENTION
An object of the present invention is to provide a system and method that enables an individual to directly measure his body humor, temperament and assess his basic prakriti.
Another object of the present invention is to provide a system and method that provides an individual with overall well-being and self-healing recommendations taking into consideration his basic prakriti and varying temperament.
Yet another object of the present invention is to provide a systematic, quick, reliable, and scalable system and method for embedding the idea of well-being in individuals based on understanding and moderating the body elements.
In one another object of the present invention, recommendation for boosting natural defence mechanism of body to protect against diseases based on unique proportion of three principal constituents of human body is provided.
Yet another object of the present invention is to provide a system and method that performs facial recognition, measures pulse signals, breathing patterns and assess their various combinations to identify predominating imbalance in individual body.
Yet another object of the present invention is to provide an automated system and method for determining body state and condition any time without requiring assistance of any medical practitioner.
Yet another object of the present invention is to provide a system and method that provides instant, clear and unambiguous feedback to user regarding his real time body condition along with the corrective action he should be performing in a given situation.
In yet another object of the present invention, the system and method provide early diagnostics to user or wearer of his health condition which may be impacted with external environmental factors, food intake or even subliminal thoughts.

SUMMARY OF THE INVENTION
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implementations that solve any or all disadvantages noted in any part of this disclosure.
In first aspect of present disclosure, a method for enabling personalized well-being of a user is disclosed based on determination of body humors, the method comprising: capturing facial features using a head mounted device and pulse signals using a wrist wearable. This is followed by processing, via a processing unit, the captured facial features and the pulse signals to obtain a first output and a second output indicative of a user body humor in real time. Next, the processing unit computes a correlation score between the first output and the second output to ascertain the user body humor with respect to user characteristic body humor, wherein in an event the correlation score is below a predetermined threshold, a set of parameters are determined against which the first output and the second output are adjusted for defining a re-assessed body humor. This is followed by recommending a corrective action for the personalized well-being of the user based on the user characteristic body humor or the re-assessed body humor.
In second aspect of present disclosure, a system for enabling personalized well-being of a user based on determination of body humors is disclosed, wherein the system comprises of a head mounted device configured to capture facial features; a wrist wearable configured to capture pulse signals; a processing unit configured to process the captured facial features and the pulse signals to obtain a first output and a second output indicative of a user body humor in real time; compute a correlation score between the first output and the second output to ascertain the user body humor with respect to user characteristic body humor, wherein in an event the correlation score is below a predetermined threshold, a set of parameters are determined against which the first output and the second output are adjusted for defining a re-assessed body humor. Finally, the processing unit is configured to recommend a corrective action for the personalized well-being of the user based on the user characteristic body humor or the re-assessed body humor.
BRIEF DESCRIPTION OF THE DRAWINGS
So that the manner in which the above recited features of the present invention can be understood in detail, a more particular to the description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered limiting of its scope, the invention may admit to other equally effective embodiments.
These and other features, benefits and advantages of the present invention will become apparent by reference to the following text figure, with like reference numbers referring to like structures across the views, wherein:
Fig. 1 is a block diagram representative of system proposed in present solution, in accordance with an embodiment of the present invention.
Fig. 2 is a wrist wearable proposed in present solution, in accordance with an embodiment of the present invention.
Fig. 3 is a flow diagram illustrating method of present solution, in accordance with an embodiment of the present invention.
DETAILED DESCRIPTION
While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and are not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense, (i.e., meaning must). Further, the words "a" or "an" mean "at least one” and the word “plurality” means “one or more” unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles, and the like are included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase “comprising”, it is understood that we also contemplate the same composition, element or group of elements with transitional phrases “consisting of”, “consisting”, “selected from the group of consisting of, “including”, or “is” preceding the recitation of the composition, element or group of elements and vice versa.
The present invention is described hereinafter by various embodiments with reference to the accompanying drawings, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.
In accordance with one general embodiment of present disclosure, the present system and method provides a solution for directly and objectively measuring three fundamental forces within an individual such that a customized and personalized self-healing recommendation may be provided to the individual based on his innate prakriti and temperament prevailing in a given situation. Accordingly, the system comprises of a head mounted device and a wrist wearable that further includes combination of one or more non-invasive sensors adapted to sense one or more vital parameters and pulse signals of the individual.
According to Ayurvedic science, human body is composed of three primary energies/elements which makes an individual unique by way of their varying combinations and contributions to each body type. For effective cognitive, physiological and psycho-social functioning and well-being, it is important for these three energies to persist in a specific ratio. Besides contributing to individual physiological features, these elements are crucial in determining psychological features and individual temperament such as whether one is an introvert, extrovert, calm, angry, intense, excitable, laid-back or the manner in which an individual responds/reacts to external environment.
Balancing one’s homeostasis and metabolic activity is central, which again is achieved by moderating and balancing these three principal constituents formed by combination of a) air and space, b) fire and water, and c) earth and water. For assessing one’s suitability for any prescription, medication or healing aid, it is important that combination of these elements in a unique proportion specific to individual to be healed is well understood for re-establishing desired equilibrium.
In one aspect of the disclosure, the basic type of combination of three fundamental forces with which an individual is born is deduced from a combination of facial analysis and pulse pattern analysis technique. Primarily, various combinations in which the three forces may exist in any individual is categorized as below:
a) Air + Ether
b) Fire + Water
c) Earth + Water
d) (Air + Ether) & (Fire + Water)
e) (Fire + Water) & (Earth + Water), and
g) (Air + Ether) & (Fire + Water) & (Earth + Water)
An individual’s psychosomatic makeup is formed of the unique combination of aforesaid principal forces, which are ingrained since birth. Accordingly, as shown in Fig. 1, the present system 1000 proposes a head mounted device 100 that can be worn by the individual. Broadly, the head mounted device 100 comprises of a pair of infrared cameras, at least two stereoscopic cameras, depth camera, a color camera or an infrared camera to capture wearer’s face color, skin color, eye color, cheeks, face shape, chin, nose, lips, teeth, facial expressions and associated emotions.
The following Table 1 represents correlation between facial features and predominant humor in any individual for eventual classification of individual into a specific Prakriti type:
Facial Features & Body Observations Body Humor
Vatta Pitta Kapha
Body size Slim Medium Large
Body weight Low Medium Overweight
Cheeks Wrinkled/sunken Smooth flat Rounded, plump
Face shape/ chin Thin, angular Tapering, triangular Rounded, double chin
Eyes Small, sunken, dry, active, black, brown, nervous Sharp, bright, gray, green, yellow/red, sensitive to light Big, beautiful, blue, calm, loving
Nose Uneven, deviated septum Long pointed, red nose-tip Short rounded, button nose
Lips Dry, cracked, black/brown tinge Red, inflamed,
Yellowish Smooth, oily, cool,
white, pale
Teeth Stick out, big, roomy, thin
Gums Medium, soft, tender gums Healthy, white, strong gums
Skin Thin, dry, cold, rough, dark Smooth, oily, warm, rosy Thick, oily, cool,
white, pale
Hair Dry, brown, black,
knotted, brittle, scarce Straight, oily, blonde, gray, red, bald Thick, curly, oily,
wavy, luxuriant
Appetite Irregular, scanty Strong, unbearable Slow but steady
Digestion Irregular, forms gas Quick, causes burning Prolonged, forms
mucous
Thirst Changeable Surplus Sparse
Emotions Anxiety, fear, uncertainty Anger, hate, jealously Calm, greedy,
attachment
Mind Restless Impatient Calm
Intellect Quick but faulty response Accurate response Slow, exact
Speech Rapid, unclear, talkative Clear, sharp,
Penetrating Quiet, slow,
monotonous
Voice Weak, hoarse Strong tone Deep, good tone
Table 1
Besides classifying the individual’s characteristic body humor/prakriti as any of those mentioned in Table 1, responsive behavior of individual in any particular situation is determined. Autonomic responses of individuals may vary with imbalance in above combinations. Though individual type and basic traits that govern how an individual usually behaves in a typical situation may vary according to varied situation, learning and conditioning also seems to play a major role in personality development, which again is afflicted with limitation of missing the “person” from personality assessment.
Individual-situation dynamic assessment is important from real time evaluation of one’s body humor and personality type. To complement body humor classification from analysis of facial features derived from head mounted device 100, a wrist wearable 200 is devised that is used to measure subtle pulse signals and analyze one’s mental and physical health in a given situation. In one embodiment, the plurality of non-invasive sensors may include at least one of a temperature sensor to sense body temperature, optical sensor to measure the change of blood flow in the artery, an accelerometer to sense body movements, a photoplethysmography (PPG) sensor to monitor pulse rate, an air pressure sensor to measure blood oxygen, a force sensor or a combination thereof. In one embodiment, the one or more vital parameters of the corresponding individual may include, but not limited to, the one or more pulse signals, arterial pulse palpation rate to derive plurality of physiological parameters, oxygen concentration, blood pressure, body temperature and the like.
The aim is to assess mental, physical and spiritual health, which is known to dictate all the salient features of a human body. These vital parameters are associated with time stamp and an array of sensors are used to capture these vital parameters. In one example embodiment, these array of non-invasive sensors may be incorporated into this wrist wearable 200. The sensors may be arranged in form of grid, lattice, matrix bends, stretches and incorporated inside a wearable device to measure pulse signals and other associated vital parameters. In one preferred aspect of present disclosure, a wearable patch embodied with an array of sensors is proposed that is capable of sensing various pulse signals and combinations thereof in a manner not explored till date.
In accordance with one exemplary embodiment, the body signal data of an individual obtained from his head mounted device 100 and wrist wearable 200 is processed over a period of time to define unique combination of energies that make up for the individual. This combination of body humor (Prakriti) is specific and hardwired characteristic for each individual and helps in understanding specific course of treatment that shall be offered to an individual of particular Prakriti. Using body signals and other vital parameters from head mounted device 100 and wrist wearable 200 provides for a direct measurement and accurate analysis of individual Prakriti that forms the profile of individual and a ground truth for assessing any change or imbalance in his physiology under the influence of varying external environment. Based on above profiling, all human beings can be classified according to the dominance of one or more body humors in human physiology, which is a potent indicator of physiologic strengths and weaknesses, mental tendencies, and susceptibility to illnesses of different kinds.
In one other embodiment, the system 1000 further comprises of a processing unit 300 that is configured to generate a single best-fit predictive model to recommend corrective action that shall be taken based on one’s basic prakriti/profile and prevailing body condition for immediate relief. In a first aspect, prakriti determination is based on analysis of facial features derived from using advanced head mounted device 100, which is fed as an input to the processing unit 300. In another aspect, the dynamic pulse fluctuations are measured and recorded by sophisticated wrist wearable 200, which is again fed as an input to the processing unit 300.
The wrist wearable 200 may comprise of a wrist band, patch, strap, bracelet, textile material or a combination thereof. The device 200 may be worn on individual wrist or ankle or any other part of the body that is sensing human body vitals. The pulse signal and associated vital information measured by the array of sensors is collected and sent to processing unit 300.
In one preferable embodiment, as shown in Fig. 2, in addition to above mentioned array of sensors, the wrist wearable 200 comprises of a smart combination of ultrasonic sensors 210 along with micro-electromechanical system (MEMS) based inertial measurement unit (IMU) 220 for precise measurement of pulsatile movement. The combination of 210 and 220 help to propagate the ultrasound through the sub surface of dermis and collect information at various depths below the dermis with minimal noise. The combination of miniaturized sensors is positioned optimally over a flexible membrane 225 that forms a channelled pathway 218 around the user wrist. In accordance with one working embodiment, the flexible membrane 225 is made up of a suitable material for encapsulating a gel based fluid 230 that flows within the membrane along the channelled pathway in a sinusoidal fashion. The flexible membrane 225 forming a channelled pathway 218 that can be easily worn around user’s wrist.
The above wrist wearable 200 precisely includes thin-film based piezoelectric ultrasonic sensors (precisely transducer) 210 operating in ultrasonic band with sensing higher frequency audio signals, and b) MEMS based inertial measurement unit (IMUs) 220 to capture the vibrational energy from the blood flowing within the vessels and corresponding pulsatile movement travelling to the skin surface with minimum interference. The pulse signals received from the ultrasonic sensor 210 and the user spatial movement data received from the MEMS based IMU 220 are processed and conditioned and 3D imaging pattern is analyzed and inferred from the processed pulse signals.
In one significant approach, the processed ultrasound and MEMS based data can be used to reconstruct a 3D imagery that helps in correct diagnosis with better viewing of 3D anatomy of sub surface tissues and vessels. More importantly, since the pulse signals are captured from sensors that sweep all over the wrist, a more detailed 3D reconstruction can be achieved using either of feature based or voxel based representation. Finally, the analyzed 3D imaging pattern is classified to dynamically determine user physiological state.
In one exemplary embodiment, the analysed 3D imaging pattern is analyzed using supervised or unsupervised machine learning algorithm operating on observable parameters captured from wrist wearable (200) such as pulse width, pulse depth, pulse rate, pulse rush/relax, pulse intensity, amplitude, time and frequency domain features, speed, rhythm, type, quantity and texture.
The aforementioned wrist wearable 200 is selected to ensure overcoming of major inaccuracies and deficiencies of unclear signals, motion artefacts (such as muscle motion) and low signal to noise ratio in conventionally existing sensors of wrist wearables such as optical sensors that gets easily influenced by ambient external lightning conditions thereby making adoption of such sensors alone unpromising and unreliable.
In next significant embodiment, it is observed that the body humor or imbalances may be triggered from external environmental factors, food intake – type of food, time of food, manner in which the food is consumed, and even subliminal thoughts that the wearer is not aware of. For example, with changes in external temperatures, or wrong consumption of food, or repressed negative thoughts the user may feel stressed, anxious, depressed or even prone to other body ailments. As often as we hear, there are times when individual experiences a sudden frailing health or even cardiac arrest symptoms while exercising or doing any other physical activity. Often these experiences are result of body imbalance or doshas, which are usually unobserved in ordinary life unless one encounters some serious sickness issues or chronic disease associated with human imbalances.
The present disclosure can apprise individual of such illnesses much earlier than the disease witnesses itself and takes much more worse and dreadful form. The present head mounted device 100 and wearable patch 200 continuously monitor individual body situations and timely inform the individual if his body is under any kind of adverse influence from any above existing factors. Thus, the head mounted device 100 and the wrist wearable 200 takes care of overall well-being of the user based on correct and accurate diagnosis of variations and modulations of pulse signals so that timely and corrective action can be taken before sickness prevails.
In one significant aspect of present disclosure, the facial features and pulse signals derived from head mounted device 100 and wrist wearable 200, respectively, are collectively fed as input to the processing unit 300 in real time. This information may not always be linearly correlated as the individual behavior and responses may vary with external situations, mental abilities developed over the years, cognitive improvement, therapy or medication he is taking and many such other influencing factors.
In one specific embodiment, each of the facial features and pulse signals may be processed at the processing unit 300 to output a specific combination of body humor. A first output is obtained from analysing facial features captured by head mounted device 100 and classifying the individual Prakriti as either of Vatta, Pitta and Kapha in accordance with Table 1, discussed above. Next, a second output is obtained from processing pulse signals captured by wrist wearable 200 and obtaining a 3D imaging pattern to classify the individual as any of Vatta, Pitta and Kapha humor. The first output and the second output corresponds to classifying the individual having a specific Prakriti as determined from analysis of facial features and pulse signals respectively.
In next working embodiment, a correlation between the predicted first output and the second output is calculated by any of the existing techniques, such as Pearson’s correlation. In one exemplary embodiment, the processing unit 300 assigns different scores and weights to each of measured first and second outputs (as discussed later). In one working embodiment, the predictive model based on machine learning, wherein the historical data (such as facial features and pulse pattern) providing predictive attributes can be used to classify the individual into any of three classes of body humors based on predominant body humor. If both the observations conform, as determined from correlation computation, a self-help preventive recommendation is displayed on worn head mounted device 100.
In one example embodiment, these facial features along with pulse signals can be jointly analyzed using one or more statistical methods selected from the group consisting of: multivariate linear regression or least squares estimation; factor analysis; Fourier Transformation; mean; median; multivariate logit; principal components analysis; spline function; auto-regression; centroid analysis; correlation; covariance; decision tree analysis; kinematic modeling; Kalman filter; linear discriminant analysis; linear transform; logarithmic function; logit analysis; Markov model; multivariate parametric classifiers; non-linear programming; orthogonal transformation; pattern recognition; random forest analysis; spectroscopic analysis; variance; artificial neural network; Bayesian filter or other Bayesian statistical method; chi-squared; eigenvalue decomposition; logit model; machine learning; power spectral density; power spectrum analysis; probit model; and time-series analysis.
The strength of relation between the first and second outputs shall be conclusive in determining body Prakriti for any individual. The correlation score computed above is compared against a predetermined threshold value. Once a correlation score above the predetermined threshold value exists between the two varied outputs, it can be deduced that a specific prakriti corresponding to the correlation score is predominant in an individual in a given proportion. Say for example, if the Pitta humor is found in increased proportions compared to vatta and pitta, and inconsistent with desired Vatta: Pitta: Kapha ration of 4:2:1, it may be pointing towards Pitta aggravation or increase of fire element. In an event the predicted output is not in consonance with an individual’s Prakriti profile, which for example is vatta (as previously determined), he may be prescribed a process for cooling down to bring his body in rhythm with his basic Prakriti .
As research posits, the three body humors have characteristic attributes that define an individual’s physiological and psychological traits. E.g. Vata humor is characterised by fast, feeble, cold, light, thin condition of human body which disappears on applying pressure. These bodily humors are read as they move in small and undulating snake like fashion. Next, the Pitta humor is understood from prominent, strong, high amplitude, hot body temperature that lifts up the palpating fingers. These humors are read as they move in sharp undulating frog like fashion. Lastly, the Kapha humor is understood from deep, slow, broad, wavy, thick, cool, warm, or regular body conditions. These bodily humors are read as they move in smooth and moderate swimming swam like fashion.
In next significant embodiment, in an event, the first and second output do not correlate strongly or there is a feeble relation between the two, which creates ambiguity in determining the real time dominant body humor, individual physiological and behavior traits along with emotional states are recorded and analyzed to re-assess the specific body humor class with certainty in a manner as discussed below. In one noteworthy embodiment, dynamically varying parameters indicative of user body disequilibrium for correlation score between the first and second output below a predetermined threshold is defined. Such parameters being:
- Last food intake/ bowel movement
- Body temperature and Heart Rate Variability (HRV)
- Emotional stress levels: Mind calmness/ agitation by way of fear, anxiety, depression
- Sleep duration
- Gait analysis
- Speech speed and voice
These parameters are dynamically assessed and varying weights are assigned to them based on last activity or task performed by the user using machine learning algorithms such as decision trees and support vector machines. In one exemplary embodiment, Structured Sum-of-Squares Decomposition (S3D) algorithm may be opted that can be used for learning interpretable statistical models of behavioural data. Usual individual behavior may be recorded by the head mounted device 100 and a wrist wearable 200 by way of facial expressions, voice modulations, blood pressure variations, pulse signals and other vital body parameters.
Using the S3D algorithm, relationships between the observed features are learned and expressed through a network, giving insights into the interdependency between selected and remaining features. For example, more weight can be assigned to sleep parameter with facial features and pulse sensations being accorded equal weights when the individual has woken from sleep, while food intake, gait analysis and speech speed can be assigned lesser weight. Likewise, for an individual recovering from intense exercise, more weight can be assigned to gait analysis, mind calmness/agitation, and feeling of warmth/cold when compared to other parameters. Further, these parameters can be more conclusively deduced from either of body wearables: facial feature analysis or pulse pattern based on kind of body wearable more suited to record the same.
Next, Table 2 below illustrates manual assigning of weights to the first output and the second output based on above identified parameters to control overall learning process. Accordingly, the first output and the second output are adjusted and attuned by assignment of weights against the above identified set of parameters.
Parameter Facial analysis from HMD (100)
(First Output) Pulse Pattern analysis from Wrist wearable (200)
(Second Output)
Food intake and bowel movement 0.6 0.4
Body temperature & HRV 0.2 0.8
Emotional stress 0.4 0.6
Sleep analysis 0.5 0.5
Gait analysis 0.3 0.7
Speech speed 0.8 0.2
Table 2
For instance, a slightly higher weight is assigned to first output when food intake parameter is considered as skin inflammation right after having food may be indicative of body disequilibrium which is verified by fluctuating pulse signals. Likewise, body temperature is better analyzed from second output, which is accordingly assigned a markedly higher weight. The same goes for other parameters. However, it is pertinent to note that the machine learning algorithm can be opted for suitable assignment of weight as it can learn over time based on accuracy of prediction as to which output should be given how much priority for precise quantification of results.
Besides, understanding individual’s underlying body humor, it is desirable if the user can be objectively and expressly informed reasons for his particular set of behavior. The play of body humors is not restricted to the physical body alone, but find expressions in the mind too. It is the balance of body and mind that realizes healthy physiologic regulation. The three gunas of human body i.e. Sattvic (white, pure, knowledge, happiness), Rajasic (red, dynamic, pain) and Tamasic (dark, resistance, inertia, confusion) are representative of mental disposition, which are further influenced by body humor combinations.
Say for example, the Rajasic is dominated by excessive activity prompted by anger and other emotions, while the Tamasic is dominated by inactivity due to delusions and confusion. Since the mind and body are dependent, these gunas and their probable combinations are psychological manifestations of above discussed 3 body humors. The three Gunas are ever in dynamic interaction. All three forces remain intertwined, affecting each other in various ways along with impact on individual hormonal balance and its activities.
The three body humors trigger the endocrine and exocrine glands and specific nerves to release appropriate bio-chemicals (neuro-humors) at appropriate time, which in turn trigger the relevant organs to act accordingly. Thus, for true discernment of individual’s personality, physiology and behavior type, both body humors and gunas are equally important. Computing the imbalance and the resultant state of behavior and thought processes that are exhibited by this imbalance is predicted by the predictive model of the processing unit 300.
Once the user body disequilibrium based on above identified parameters is effectively analyzed and predicted, it is classified as being dominated by either of Rajas, Tamas or their unique combination with different proportionalities. From the relationship between three body humors, and their Gunas one can understand individual physical, physiological and mental state before recommending a course of action towards neutrality and mindful behavior.
Based on above analysis, specific individualized therapeutics combining personalized diet and lifestyle recommendations to individuals for improvising an individual’s health is proposed. In one preferred embodiment, the machine learning model outputs a message based on analysis of facial features and pulse signals, and the user is prompted to take corrective action based on recommendation displayed on head mounted device 100. Alternately, the message may also be displayed on a wrist wearable 200 that may be configured with a display for ease and convenience of user.
Referring to Fig. 3, a flowchart depicting a method for enabling personalized well-being of a user based on determination of body humors is disclosed. As discussed above, the facial features are captured using a head mounted device 100 and pulse signals using a wrist wearable 200. The captured facial features and the pulse signals are processed by the processing unit 300 to obtain a first output and a second output indicative of a user body humor in real time. Thereafter, a correlation score is computed by processing unit 300 between the first output and the second output to ascertain the user body humor with respect to user characteristic body humor, wherein in an event the correlation score is below a predetermined threshold, a set of parameters are determined against which the first output and the second output are adjusted for defining a re-assessed body humor. Finally, a corrective action is recommended for the personalized well-being of the user based on the user characteristic body humor or the re-assessed body humor or even the three gunas or a combination thereof.
In accordance with an embodiment, the machine-readable instructions may be loaded into the memory unit from a non-transitory machine-readable medium, such as, but not limited to, CD-ROMs, DVD-ROMs and Flash Drives. Alternately, the machine-readable instructions may be loaded in a form of a computer software program into the memory unit. The memory unit in that manner may be selected from a group comprising EPROM, EEPROM and Flash memory. Further, the micro controller is operably connected with the memory unit. In various embodiments, the micro controller is one of, but not limited to, a general-purpose processor, an application specific integrated circuit (ASIC) and a field-programmable gate array (FPGA).
In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, for example, Java, C, or assembly. One or more software instructions in the modules may be embedded in firmware, such as an EPROM. It will be appreciated that modules may comprised connected logic units, such as gates and flip-flops, and may comprise programmable units, such as programmable gate arrays or processors. The modules described herein may be implemented as either software and/or hardware modules and may be stored in any type of computer-readable medium or other computer storage device.
Further, while one or more operations have been described as being performed by or otherwise related to certain modules, devices or entities, the operations may be performed by or otherwise related to any module, device or entity. As such, any function or operation that has been described as being performed by a module could alternatively be performed by a different server, by the cloud computing platform, or a combination thereof. It should be understood that the techniques of the present disclosure might be implemented using a variety of technologies. For example, the methods described herein may be implemented by a series of computer executable instructions residing on a suitable computer readable medium. Suitable computer readable media may include volatile (e.g., RAM) and/or non-volatile (e.g., ROM, disk) memory, carrier waves and transmission media. Exemplary carrier waves may take the form of electrical, electromagnetic or optical signals conveying digital data steams along a local network or a publicly accessible network such as the Internet.
It should also be understood that, unless specifically stated otherwise as apparent from the following discussion, it is appreciated that throughout the description, discussions utilizing terms such as "controlling" or "obtaining" or "computing" or "storing" or "receiving" or "determining" or the like, refer to the action and processes of a computer system, or similar electronic computing device, that processes and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
Various modifications to these embodiments are apparent to those skilled in the art from the description and the accompanying drawings. The principles associated with the various embodiments described herein may be applied to other embodiments. Therefore, the description is not intended to be limited to the embodiments shown along with the accompanying drawings but is to be providing broadest scope of consistent with the principles and the novel and inventive features disclosed or suggested herein. Accordingly, the invention is anticipated to hold on to all other such alternatives, modifications, and variations that fall within the scope of the present invention.
,CLAIMS:We Claim:

1) A method for enabling personalized well-being of a user based on determination of body humors, comprising:
capturing facial features using a head mounted device (100) and pulse signals using a wrist wearable (200);
processing, via a processing unit (300), the captured facial features and the pulse signals to obtain a first output and a second output indicative of a user body humor in real time;
computing a correlation score between the first output and the second output to ascertain the user body humor with respect to user characteristic body humor,
wherein in an event the correlation score is below a predetermined threshold, a set of parameters are determined against which the first output and the second output are adjusted for defining a re-assessed body humor; and
recommending a corrective action for the personalized well-being of the user based on the user characteristic body humor or the re-assessed body humor.

2) The method, as claimed in claim 1, wherein the three body humors comprises of Vatta, Pitta and Kapha.

3) The method, as claimed in claim 1, wherein the facial features and the pulse signals are processed and analyzed over a period of time to determine a characteristic user profile and define the characteristic user body humor.

4) The method, as claimed in claim 1, wherein the head mounted device (100) comprises of a pair of infrared cameras, at least two stereoscopic cameras, depth camera, a color camera or an infrared camera to capture wearer’s face color, skin color, eye color, cheeks, face shape, chin, nose, lips, teeth, facial expressions and associated emotions.

5) The method, as claimed in claim 1, wherein the wrist wearable (200) comprises of a combination of ultrasonic sensors (210) and micro-electromechanical system (MEMS) based inertial measurement unit (IMU) (220) for precise measurement of the pulse signals.

6) The method, as claimed in claim 5, wherein the combination of ultrasonic sensors (210) and micro-electromechanical system (MEMS) based inertial measurement unit (IMU) (220) is positioned over a flexible membrane (225) that forms a channelled pathway (218) around user wrist.

7) The method, as claimed in claim 1, wherein the correlation score is computed between the first output and the second output using a Pearson’s correlation approach.

8) The method, as claimed in claim 1, wherein the set of parameters comprises of last food intake, bowel movement, body temperature, heart rate variability, emotional stress levels, sleep duration, gait analysis, speech speed and voice.

9) The method, as claimed in claim 8, wherein the set of parameters are dynamically weighed based on last activity performed by the user using machine learning approach.

10) The method, as claimed in claim 9, wherein the first output and the second output are adjusted by way of assigning weights with respect to the dynamically weighed set of parameters.

11) The method, as claimed in claim 1, wherein the body humor comprises of Vatta, Pitta and Kapha, wherein the body humor is associated with three gunas namely sattvic, rajasic and tamasic.

12) The method, as claimed in claim 11, wherein the corrective action for the personalized well-being of the user is recommended based on the characteristic body humor, the re-assessed body humor or the three gunas or a combination thereof.

13) A system (1000) for enabling personalized well-being of a user based on determination of body humors, comprising:
a head mounted device (100) configured to capture facial features;
a wrist wearable (200) configured to capture pulse signals;
a processing unit (300) configured to:
process the captured facial features and the pulse signals to obtain a first output and a second output indicative of a user body humor in real time;
compute a correlation score between the first output and the second output to ascertain the user body humor with respect to user characteristic body humor,
wherein in an event the correlation score is below a predetermined threshold, a set of parameters are determined against which the first output and the second output are adjusted for defining a re-assessed body humor; and
recommend a corrective action for the personalized well-being of the user based on the user characteristic body humor or the re-assessed body humor.

14) The system, as claimed in claim 13, wherein the head mounted device (100) comprises of a pair of infrared cameras, at least two stereoscopic cameras, depth camera, a color camera or an infrared camera to capture wearer’s face color, skin color, eye color, cheeks, face shape, chin, nose, lips, teeth, facial expressions and associated emotions.

15) The system, as claimed in claim 13, wherein the wrist wearable (200) comprises of a combination of ultrasonic sensors (210) and micro-electromechanical system (MEMS) based inertial measurement unit (IMU) (220) for precise measurement of the pulse signals.

16) The system, as claimed in claim 15, wherein the combination of ultrasonic sensors (210) and micro-electromechanical system (MEMS) based inertial measurement unit (IMU) (220) is positioned over a flexible membrane (225) that forms a channelled pathway (218) around user wrist.

17) The system, as claimed in claim 13, wherein the processing unit (300) is configured to determine the set of parameters comprising of last food intake, bowel movement, body temperature, heart rate variability, emotional stress levels, sleep duration, gait analysis, speech speed and voice.

18) The system, as claimed in claim 17, wherein the processing unit (300) is configured to dynamically weigh the set of parameters based on last activity performed by the user using machine learning approach.

19) The system, as claimed in claim 13, wherein the body humor is associated with three gunas namely sattvic, rajasic and tamasic.

20) The system, as claimed in claim 19, wherein the processing unit (300) is configured to provide the corrective action for the personalized well-being of the user based on the characteristic body humor, the re-assessed body humor or the three gunas or a combination thereof.