Claims:WE CLAIM:
1) An occupational Stress evaluating system based on Internet of Things (IOT) comprising of;
a. collecting data from the sensors;
b. sending all the data to microcontroller which is attached with a computer with a Wifi;
c. data analyzer unit for analysis of data;
d. analyzing the stress level;
e. providing the relaxing content to user through mobile or computer;
f. recording the user content on the cloud platform.
2) The system as claimed in claim 1, wherein the said Contents provided to the user have a relaxing effect is implemented in the app: like funny sports scenes, beautiful nature photos, relax natural sounds.
3) The system as claimed in claim 1, wherein the said Heartbeat sensor is attached on the fingertip that enables more reliable measurement without excess sensor moves.
4) The system as claimed in claim 1, wherein the said Raw data is analyzed using Analytics processing job and the result is stored in database on the cloud.
5) The system as claimed in claim 1, wherein the said Cloud platform collects sensor data from the wearable system, analyzes collected data, and follows browsing history from the mobile application.
, Description:FIELD OF THE INVENTION:
The present invention relates to data statistics field. The present invention more particularly relates to an Occupational Stress evaluating system based on Internet of Things (IOT).
BACKGROUND OF THE INVENTION:
A stress response can be triggered by a variety of things, which differ from person to person. The most common stressors are workplace related. Irregular and hectic work hours, job dissatisfaction, low income, poor management, facing discrimination and harassment at work as a few of the problems commonly faced by the working class. Many crucial events in life also contribute to anxiety and stress like migrating to a new town, loss of job, marriage, death of a loved one, divorce, taking care of sick family members etc. Other traumatic events that can trigger stress are natural disasters, unstable political and economic condition of the country, inflation, debts, theft, and violence to name a few.
Occupational stress is psychological stress related to one's job. Occupational stress often stems from pressures that do not align with a person's knowledge, skills, or expectations. Job stress can increase when workers do not feel supported by supervisors or colleagues, feel as if they have little control over work processes, or find that their efforts on the job are incommensurate with the job's rewards. Occupational stress is a concern for both employees and employers due to the link between stressful job conditions and employee emotional well-being, physical health, and job performance.
Occupational stress can lead to three types of strains: behavioral (e.g., absenteeism), physical (e.g., headaches), and psychological (e.g., depressed mood). Job stress has been linked to a broad array of conditions, including psychological disorders (e.g., depression, anxiety, post-traumatic stress disorder), job dissatisfaction, maladaptive behaviors (e.g., substance abuse), cardiovascular disease, and musculoskeletal disorders. Stressful job conditions can also lead to poor work performance, higher absenteeism, and injury. Chronically high levels of job stress diminish a worker's quality of life and increase the cost of the health benefits the employer provides. Occupational stress accounts for more than 10% of work-related health claims. Many studies suggest that psychologically demanding jobs that allow employees little control over the work process increase the risk of cardiovascular disease. Research indicates that job stress increases the risk for development of back and upper-extremity musculoskeletal disorders. Stress at work can also increase the risk of acquiring an infection and the risk of accidents at work.
Once stress has been quantified, it is essential for us to look into types of stress management. According to the American Psychological Association (APA), there are three different types of stress – acute stress, episodic acute stress and chronic stress. By analysis of the inputs and data from IoT devices and apps, the type of stress and ways to manage stress is determined. Dealing with stress can be done in a variety of ways, this can be selected by the individual himself based on the type of stress he is facing. Often some method which works for one many not work the same way for another. Acute stress and panic attacks can be managed by breathing exercises, progressive muscle relaxation and meditation. Breathing exercises aim to regulate respiration. IoT devices can map the real time respiratory rates and help the person manage controlled breathing techniques. Meditation techniques can be done with a variety of apps which provide detailed demos and audios.
Managing stress of the chronic type requires a combined approach. Along with short term stress relief methods, the person needs to make lifestyle changes and start healthy practicing activities to handle stress. Chronic stress management methods include regular exercise, healthy dietary habits, regular meditation and healthier sleep cycles. IoT apps can be used to track the duration of REM and non REM sleep and motivate the individual to achieve a regular fitful circadian rhythm. Since IoT provides baseline data for comparison, small improvements can motivate the individual to maintain healthy lifestyles. Furthermore various apps can be used to track the total cell phone usage, give us a breakdown of what goes in our stomachs and the no. of hours of activity. Healthy eating habits and regular exercise release endorphins, also known as the happy hormone. Meditation relaxes the mind and helps to reduce anxiety. IoT devices can measure stress before and after meditation and this helps to assess whether meditation has been beneficial for that individual. Overall adopting healthier lifestyle practices, meditation and counselling can go a long way to bring about stress relief.
So there is need for a need for an Occupational Stress evaluating system based on Internet of Things (IOT).The present invention monitors health status and to collect data from the sensors and helps in precision and reliability of the system.
OBJECTS OF THE INVENTION:
The main object of the present invention is to provide an Occupational Stress evaluating system based on Internet of Things (IOT).
Another object of the present invention is to monitor health status and to collect data from the sensors and helps in precision and reliability of the system and helps in identifying stress eating compared to normal eating.
Yet another object of the present invention to allow the users to make a choice between two proposed methods for monitoring food intake: wearable and non-wearable.
Yet another object of the present invention is to take the log of food consumed by the user, calculate the calorie counts and notify the user about the eating behavior with an accuracy of 97%.
SUMMARY OF THE INVENTION:
Accordingly, an Occupational Stress evaluating system based on Internet of Things (IOT) is disclosed. An occupational Stress evaluating system based on Internet of Things (IOT) comprising of; collecting data from the sensors; sending all the data to microcontroller which is attached with a computer with a Wifi; data analyzer unit for analysis of data; analyzing the stress level followed by providing the relaxing content to user through mobile or computer; and recording the user content on the cloud platform.
DESCRIPTION OF THE DRAWINGS:
Fig 1 is the flowchart for the Occupational Stress evaluating system based on Internet of Things (IOT).
DETAILED DESCRIPTION OF THE INVENTION WITH RESPECT TO DRAWINGS:
The present invention is an occupational Stress evaluating system based on Internet of Things (IOT). The present invention monitor health status and to collect data from the sensors and helps in precision and reliability of the system and helps in identifying stress eating compared to normal eating. The present invention allows the users to make a choice between two proposed methods for monitoring food intake: wearable and non-wearable. The present invention takes the log of food consumed by the user, calculate the calorie counts and notify the user about the eating behavior with an accuracy of 97%.
In one embodiment, a wearable system by which the objects can be detected, classified and the calorie count along with the eating behavior is notified to the user through a mobile application. The accuracy of detecting food composition is found to be 97%, which strongly suggests this approach to be suitable for effectively logging nutritional and calorific value of daily food intake. Incorporating the camera to an actual wearable system, and the manual/automatic triggering of image capture is also carried out to enhance the state of the art of monitoring eating behaviors.
The wearable system also comprising a pulse sensor, heart rate sensor. The sensors records the pulses, heartbeats and all the data is sent to microcontroller which is attached with a computer with a Wifi. Heartbeat sensor is attached on the fingertip that enables more reliable measurement without excess sensor moves. Obtained sensor data are transmitted to the cloud using the microcontroller with Wi-Fi module. Wi-Fi module and mobile phone with health application are connected to a local secured Wi-Fi network. The mobile application connects to web services on the remote cloud through mobile Wi-Fi access with low power consumption so that user can carry the system for a longer period of time. Contents that could have a relaxing effect were implemented in the app: funny sports scenes, beautiful nature photos, relax natural sounds. The content was taken from YouTube. The content watched by users is recorded on the cloud platform.
The cloud platform is mainly responsible for data classification and storage. After receiving a piece of data from microcontroller has a role to read the data. Microcontroller sends data to platform (database of the website). Raw data are analyzed using Analytics processing job. The result of the analytics process is a stream of aggregated data, stored in database on the cloud. The system allows monitoring respondents’ vital parameters. The proposed system is applicable in education environments. The proposed solution enables biofeedback. Information about students’ arousal is sent to professors on which they can change the exam flow. The present invention is applied for stress monitoring in different life situations.
In another embodiment, IoT system architecture for stress measurement consists of three parts: a wearable system for monitor vital parameters, a mobile health application featuring relaxation content and cloud platform. In addition, services for connecting the components, hosts, and users . The wearable system requires components such as a heart rate sensor, a microprocessor to process obtained data, and a wireless Internet connection that allows the participants to freely move during their activities. The second component, the mobile application featuring relaxation content can be installed on any Android device that has a wireless connection to the Internet. Cloud platform collects sensor data from the wearable system, analyzes collected data, and follows browsing history from the mobile application.
In one embodiment, an occupational Stress evaluating system based on Internet of Things (IOT) comprising of;
a. collecting data from the sensors;
b. sending all the data to microcontroller which is attached with a computer with a Wifi;
c. data analyzer unit for analysis of data;
d. analyzing the stress level;
e. providing the relaxing content to user through mobile or computer; and
f. recording the user content on the cloud platform.