Description:FIELD OF THE INVENTION
The embodiments of the present disclosure relate generally to a smart wearable accessory and more particularly to the smart wearable accessory for control and interaction of a motorcycle.
BACKGROUND
Automotive industry is undergoing significant advancements with the emergence of electric vehicles, autonomous driving, and many more automatic features in vehicles. With rise of electric vehicles demand, it becomes crucial to de¬velop solutions that enable seamless interaction between vehicles, infrastructure, and users. These may include advanced user interfaces, augmented reality, wearable technologies, and intelligent mobility solutions. All of the above-mentioned technologies are still under experimental phase wherein various market players are developing their R & D teams to focus on said technologies.
Current generation like Generation Z and Alpha, exhib¬it traits of impatience and independence. Growing up in a digital era, they are accustomed to instant gratification and have developed a strong desire for efficiency. They possess a strong desire for autonomy and have an inclination towards advanced tech gadgets. They enjoy riding bikes for pleasure. Biking is not just about physical activity; it's also a social status for many young users. Many users invest in high quality and advanced tech accessories. These accessories may include helmet, different lights to increase visibility, hand gloves, jackets, shoes, glares, knee guard etc. Despite the growing popularity of biking, there are still challenges in developing the above-mentioned accessories including its comfort, safety, aesthetics and automatic features etc.
Particularly speaking about bikes, the demand for battery powered motorcycles or electric motorcycles is increasing tremendously. Many renowned motorcycle manufacturing companies are launching their electric motorcycle models and also many new companies are entering into the market in their competition to provide more advanced features. Some companies are also launching electric superbikes which have captured the attention of the younger generation. Many users love to invest in bike accessories which are also important from safety point of view. Along with safety, if such accessories provide some extra advanced features, then it will definitely gain the attention of almost every user. The extra features may include controlling certain features of the bike or interacting with the bike through accessories or notifying the user about some conditions of the bike through such accessories.
Here, we are particularly discussing one of the above-mentioned accessories i.e. hand gloves. Currently, there are gloves in the market that are designed specifically for motorcycle users that incorporate limited automatic features and provide convenience or safety to the user. However, there are many more advancements required in said gloves in order to provide more safety, convenience and advance features to control the motorcycle performance.
OBJECTS OF THE INVENTION
It is the main objective of the current invention to provide a smart wearable accessory, specifically, a hand glove for control and interaction of a motorcycle.
It is another objective of the current invention to provide gesture-based control of the motorcycle.
It is yet another objective of the current invention to enable automatic snapping of the glove through wrist auto lock mechanism.
It is yet another objective of the current invention to facilitate light-based feedback to a user for a plurality of predefined conditions.
It is yet another objective of the current invention to detect crash of the motorcycle and to notify about such crash to the connected devices of the motorcycle.
It is yet another objective of the current invention to control various performance parameters of the motorcycle through said glove.
It is yet another objective of the current invention to provide a conductive fabric for the glove.
SUMMARY OF THE INVENTION
The present invention aims to provide a smart wearable accessory for control and interaction of a motorcycle comprising a sensor unit comprising an inertial measurement unit (IMU) comprises of accelerometer, gyroscope and magnetometer to capture a plurality of movements of a user’s hand, a plurality of flex sensors mounted on one or more fingers of the smart wearable accessory for gesture recognition, a conductive fabric for the smart wearable accessory comprises a pressure sensor mounted on the smart wearable accessory being capable of detecting that the user is wearing the smart wearable accessory. A microcontroller unit connected to IMU via communication interface protocol being capable of controlling gesture-based features of the motorcycle wherein the microcontroller receives and processes data from the sensor unit, the microcontroller comprising a plurality of voltage converters for supplying predetermined power to one or more sensors of the sensor unit of the smart wearable accessory, one or more light indicators to provide visual feedback to the user, an actuator unit comprising a wrist auto lock mechanism comprises of a motor actuated by microcontroller to operate a lace for automatic snapping of the lace on the wrist of the user on detecting that the user is wearing the smart wearable accessory, a plurality of vibration motors mounted on the smart wearable accessory (500) to provide pulse of vibration to the user to indicate the detection of the gesture and provide feedback on predetermined set of features and a battery and a power management unit to supply power to all above-mentioned components.

As per the first embodiment of the present invention, the inertial measurement unit (IMU) has 9 degrees of freedom to capture the movements like left swipe, right swipe, up swipe, down swipe, single tap gesture, double tap gesture and likewise.
As per the second embodiment of the present invention, a Bluetooth Low Energy (BLE) module is configured to establish communication between the user’s cellphone, the motorcycle and the smart wearable accessory through BLE protocol.
As per the third embodiment of the present invention, the microcontroller is provided with a predefined set of gestures or a pre trained AI model is provided to control the gesture-based features of the motorcycle.
As per the fourth embodiment of the present invention, the plurality of flex sensors and the plurality of pressure sensors are integrated with an inner lining of the conductive fabric and said combination of flex sensors and pressure sensors are configured to detect a gripping of a handle of the motorcycle by the user.
As per the fifth embodiment of the present invention, the IMU is configured to determine an accident or crash condition of the motorcycle.
As per the sixth embodiment of the present invention, LED based visual feedback is configured for blind spot detection, collision avoidance and speed warning data received from the motorcycle and likewise features.
As per the seventh embodiment of the present invention, the wrist auto lock is configured to be released manually or through a predefined gesture.
As per the eighth embodiment of the present invention, a plurality of switches is provided for switching ON and OFF the smart wearable accessory and predetermined set of actions.

As per the nineth embodiment of the present invention, a method of controlling and interacting with a motorcycle through a smart wearable accessory comprising:
a. wearing of the smart wearable accessory by a user wherein the user slides a hand through a conductive fabric (106) of the smart wearable accessory;
b. detecting the wearing of the smart wearable accessory by a microcontroller (200) through a change in resistance of the conductive fabric (106);
c. actuating the wrist auto lock mechanism (302) by the microcontroller (200) wherein the motor (304) is configured to automatically snap a lace (306) on the wrist of the user;
d. moving the hand or fingers to command a gesture;
e. detecting the movement of the hand or fingers through the IMU (102);
f. registering a data related to the commanded gesture by a combination of IMU (102), a plurality of flex sensors (104) and a plurality of pressure sensors (108);
g. communicating said data to the microcontroller (200) through the IMU (102), the plurality of flex sensors (104) and the plurality of pressure sensors (108);
h. reading the IMU (102) data by the microcontroller (200);
i. checking said data in a predefined list of gestures by the microcontroller (200);
j. sending necessary command to the motorcycle by the microcontroller (200); and
k. responding to the commanded gesture by the motorcycle.

BRIEF DESCRIPTION OF THE DRAWINGS
The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
FIG.1 is a smart wearable accessory or a smart glove including a sensor unit, in accordance with the present invention.
FIG. 2 is a smart wearable accessory or a smart glove showing a microcontroller unit, in accordance with the present invention.
FIG. 3 is a smart wearable accessory or a smart glove with an actuator unit showing a wrist auto lock mechanism, in accordance with the present invention.
FIG. 4 is a battery and a power management unit (402) of the smart wearable accessory, in accordance with the present invention.
FIG. 5 shows a smart wearable accessory as a smart glove, in accordance with the present invention.
FIG. 6 illustrates a working of wrist auto locking mechanism of the smart wearable accessory, in accordance with the present invention.
FIG. 7 shows a flowchart for gesture-based control of a motorcycle, in accordance with the present invention.
FIG. 8 shows a flowchart for gesture recognition process, in accordance with the present invention.
FIG. 9 shows a block diagram for control and interaction of a motorcycle through a smart wearable accessory, in accordance with the present invention.
Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.
DETAILED DESCRIPTION
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as would normally occur to those skilled in the art are to be construed as being within the scope of the present invention.
It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.
The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, members, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.
Embodiments of the present invention will be described below in detail with reference to the accompanying figures.
The present invention discloses a smart wearable accessory, specifically, a hand glove or a smart glove for control and interaction of a motorcycle. The smart wearable accessory herein onwards be referred to as the smart glove. The present invention aims to provide various gesture-based features in the smart glove that are used to control different parameters of the motorcycle, for example, regen control, switching modes of the motorcycle performance, audio & music control, start & stop the motorcycle, Display ON/OFF, changing a screen mode etc. The aforementioned parameters of the motorcycle are controlled through a vehicle control unit (VCU) of the motorcycle. Also, the smart glove of the present invention enhances the safety of the user by providing SOS/ necessary communication features.
Referring to figure 1, the smart wearable accessory or the smart glove (500) showing a sensor unit (100) is illustrated, in accordance with the present invention. The smart glove (500) comprises of sensor unit (100) which further comprises of an inertial measurement unit (IMU) (102) including , an accelerometer, a gyroscope and a magnetometer to capture a plurality of movements of a user’s hand. Further, the sensor unit (100) comprises of a plurality of flex sensors (104) mounted on one or more fingers of the smart glove (500) provided for recognizing bending movement. In the present invention, the IMU (102) is mounted on top of the index finger and the flex sensors (104) are mounted on the index finger, middle finger and the thumb along the length of the fingers. According to the embodiment of the present invention, the IMU (102) has 9 degrees of freedom to capture the movements of the user’s hand. Furthermore, a pressure sensor (108) is provided beneath a conductive fabric (106) of the smart glove (500). The conductive fabric (106) determines whether the user has worn the smart glove (500), based on resistive data of the fabric (106). Said conductive fabric (106) forms an inner lining of the smart glove (500) which has a layer of elastic conductive fabric that changes its resistance when the user inserts hand in the smart glove (500). More specifically, the pressure sensor (108) is provided on a palm and a tip of one or more fingers of the smart glove (500) where the pressure of the hand is maximum while using the smart glove (500). Said pressure sensor (108) detects that the user is wearing the smart glove (500) i.e. it senses human presence. In addition, a combination of flex sensors (104) and the pressure sensor (108) determines whether the user has his hands on the motorcycle handle or off the motorcycle handle. This feature is used to activate certain predefined gestures. The IMU (102) is configured to continuously monitor data of the smart glove (500) and based on measurements, it determines if the user has crashed or in danger. Also, it registers an unusual vibration. To summarize, the sensor unit (100) is capable of registering the gestures performed by the user. The gestures to be performed by the user include the movements like left swipe, right swipe, up swipe, down swipe, single tap gesture, double tap gesture and likewise, and the gesture-based parameters to be controlled includes regen control, switching modes of the motorcycle performance, audio & music control, start & stop the motorcycle, display ON/OFF, changing a screen mode etc. The abovementioned parameters are predefined with the gestures to be performed wherein each parameter is provided with a particular gesture to be performed by the user in order to execute said gesture.
Referring to figure 2, the smart wearable accessory or the smart glove (500) showing a microcontroller unit (200) is illustrated, in accordance with the present invention. The microcontroller (200) is the main processing unit of the smart glove (500). The microcontroller (200) is directly connected to IMU (102) or the sensor unit (100) where the sensor unit (100) works as input to the microcontroller (200) wherein the microcontroller (200) further processes said input. In the present embodiment, the IMU (102) is directly connected to the microcontroller through I2C interface. In a simplified way, the sensor unit (100) records the gesture performed by the user and gives it as input to the microcontroller (200) wherein the microcontroller (200) recognizes said gesture and controls the motorcycle parameters accordingly. The microcontroller unit (200) is connected to the sensor unit (100) via communication interface protocol. Said communication interface protocol may include but not limited to a Bluetooth low energy (BLE), UART protocol, I2C or IIC or “I squared C” protocol, SPI or Serial Peripheral Interface protocol, CAN – Controller Area Network protocol. The microcontroller (200) is provided with a predefined set of gestures wherein the gesture is executed by the microcontroller (200) upon performance of the gesture by the user through the smart glove (500). The gesture recognition can also be done through a pre trained Artificial Intelligence (AI) model wherein said AI model controls the gesture-based features of the motorcycle. A predefined dataset of the sensor data and corresponding or correlating gesture is created, and a CNN (Convolutional Neural Network) is trained with said dataset. When the user performs the gesture, the sensor unit (100) captures the data. This data is fed into the pre trained CNN as input to the CNN and the output of the CNN is the recognized gesture which matches with the performed input gesture. Further, the microcontroller (200) comprises of a plurality of voltage converters (202) for supplying predetermined power to one or more sensors of the sensor unit (100) provided on the smart glove (500). Different sensors require different voltage for their operation, so, the voltage converters (202) provide necessary power to said sensors with varied power requirements. Furthermore, the microcontroller (200) unit comprises of one or more light indicators (206) to provide visual feedback to the user. Such light feedback is also used for blind spot detection, collision avoidance and speed warning data received from the motorcycle. In addition, the smart glove (500) is also connected to personal devices of the user, for example, a mobile phone through a Bluetooth low energy (BLE) (204) module or likewise communication modules. Also, the smart glove (500) is connected to the motorcycle through said BLE module or another similar protocol as described in above-mentioned paragraphs. Moreover, in case, if the user has crashed or met with an accident or in danger, the IMU (102) detects the case and gives input to the microcontroller (200), and in response, the microcontroller (200) sends SOS signal to the devices connected to the smart glove (500). Also, in case the smart glove (500) registers unusual vibration, said SOS signaling is done by the microcontroller (200). The microcontroller (200) is provided with a predefined pattern of vibration for an event of the crash and also for an abrasion of the smart glove (500). For example, if the user loses balance while riding and falls off the motorcycle onto road. The event of contact of the smart glove (500) to the road is captured by the IMU (102) through the vibration pattern produced by the IMU (102) and the abrasion of the smart glove (500) also produces a particular vibration pattern which is captured by the IMU (102) wherein the IMU (102) provides such data to the microcontroller (200) and thereby the microcontroller (200) determines that it is a crash. Furthermore, a plurality of switches (208) is provided to the smart glove (500) for switching ON and OFF the smart glove (500) and for other predetermined set of actions. For example, said predetermined set of actions may include a long press of the one of the switches (208) to change into Bluetooth connection mode and pressing one of the switches (208) twice to enter into power saver mode and likewise.
Referring to figure 3, an actuator unit (300) showing a wrist auto lock mechanism (302) of the smart wearable accessory (500), in accordance with the present invention is illustrated. The wrist auto lock mechanism (302) constitutes a part of the actuator unit (300). Said wrist auto lock mechanism (302) comprises of a motor (304) and a lace or a strap (306) wherein the motor (304) is actuated to operate the lace (306) for automatic snapping of the lace (306) on the wrist of the user. As soon as it is detected that the user has worn the smart glove (500), the microcontroller (200) actuates the motor (304) to automatically snap the lace (306) on the wrist of the user. The wrist auto lock mechanism (302) is discussed herein. The laces (306) are coiled around the wrist of the smart glove (500). The ends of these laces (306) are connected to the motor (304). Upon activation of the motor (304), the motor (304) rotates and tightens the laces (306) around the wrist of the smart glove (500). The conductive fabric (106) detects that the user has inserted hand in the smart glove (500). The microcontroller (200) receives this data and activates the motor (304) until the wrist lock is tightened. The conductive fabric (106) on the wrist, upon wrist locking, stops changing in terms of length. This gives the indication that the tightness is optimum or has reached the limit. The microcontroller (200) stops the motor (304) from tightening further. The wrist auto lock mechanism (302) is configured to be released manually or through a predefined gesture. For releasing the wrist lock, the motor (304) rotates in opposite direction to loosen the wrist lock. Further, the actuator unit (300) comprises a plurality of vibration motors (308) mounted on tip of one or more fingers to provide pulse of vibration to the user to indicate the detection of the gesture performed by the user. Also, the pattern of pulse of vibration is also used to detect the particular gesture performed by the user. In the present embodiment, the vibration motors (308) are mounted on tip of index, middle and thumb fingers. Moreover, any critical information related to the motorcycle is indicated using different patterns of vibration pulses on the user’s fingertips.
Referring to figure 4, a battery and a power management unit (402) of the smart wearable accessory, in accordance with the present invention is illustrated. Said battery and power management unit is configured to supply power to all components of the smart glove (500).
Referring to figure 5, the smart wearable accessory as the smart glove (500) is illustrated, in accordance with the present invention. Hereinafter, the smart glove (500) is explained in detail with an example. For example, the user intends to switch the mode of the bike, like from eco mode to sport mode. Suppose the microcontroller (200) is predefined with a set of gestures wherein the switching of eco mode to sport mode can be done by swiping the index finger upside. The sequence of steps performed will be as follows. As soon as the user wears the smart glove (500), it is detected by the pressure sensor (108) and the input is sent to the microcontroller (200). The microcontroller (200) immediately actuates the motor (304) for automatic snapping of the lace (306) on the wrist of the user. When the user performs gesture or swipes the index finger towards upside, the movement is registered by the plurality of sensors (102, 104) and the input is given to the microcontroller (200). The microcontroller (200) recognizes the performed gesture and sends the input to the VCU wherein the VCU controls said motorcycle parameter. In this case, the microcontroller (200) will command the VCU to switch the mode of the bike from eco mode to sport mode. After execution of the performed gesture, the vibration motor (308) will vibrate in order to give confirmation to the user about execution of the said gesture. If the gesture performed by the user is not defined to the microcontroller (200), an error will occur, and the error is notified to the user in a predefined manner. For example, through LED or light indicator.
Referring to figure 6, working of the wrist auto locking mechanism (302) of the smart wearable accessory (500) is shown. The user who intends to use the smart glove (500) will first slide the hand inside the smart glove (500). The smart glove (500) comprises of conductive fabric (106) and the pressure sensor (108) as explained in aforementioned paragraphs. As soon as the user slides the hand inside the smart glove (500), the resistance of the conductive fabric (106) and the pressure sensor (108) changes which is read by the microcontroller (200) and the microcontroller (200) registers that the smart glove (500) is worn. Further, upon recognition, the microcontroller (200) actuates the motor (304) for automatic snapping of the lace (306) on the wrist of the user. If there is no change in resistance of the conductive fabric (106) and the pressure sensor (108), the hand recognition procedure by the microcontroller (200) is ended.
Referring to figure 7, a flowchart for gesture-based control of the motorcycle is shown. The user intends to use the smart glove (500) will perform the gesture for change in bike performance parameters as explained in aforementioned paragraphs. The combination of IMU (102), the flex sensor (104) and pressure sensor (108) registers the data related to the performed gesture and communicates the same to the microcontroller (200). Further, the microcontroller (200) checks if the performed gesture is valid and if the microcontroller (200) confirms that the performed gesture is registered, the microcontroller (200) communicates the registered gesture to a vehicle control unit via BLE (204). If the performed gesture is not registered in the microcontroller (200), then the microcontroller (200) ignores the performed gesture and thereby ends the gesture recognition process.
Referring to figure 8, a flowchart for gesture recognition process is shown. The user performs the gesture by moving the hand having smart glove (500). The IMU (102) detects the movement of the user’s hand and gives input to the microcontroller (200). The microcontroller (200) reads the data in the IMU (102) and checks if said data corresponds to the list of gestures predefined in the microcontroller (200). If the data corresponds to the list of gestures, then the microcontroller (200) sends necessary command to the motorcycle via BLE (204) and the motorcycle in turn responds to the necessary gesture. Further, if the data does not correspond to the list of gestures, then the microcontroller (200) ends the gesture recognition process.
Referring to figure 9, a block diagram for control and interaction of the motorcycle through the smart wearable accessory is shown. The main part of said accessory is the microcontroller (200) wherein all the other components of the accessory are connected to the microcontroller (200). The various components which are connected to the microcontroller (200) includes IMU (102), the flex sensor (104), the conductive fabric (106), the pressure sensor (108), the motor (304), the light indicator (206), the vibration motor (308) wherein all the above-mentioned components are configured to give input to the microcontroller (200). Further, the BLE device (204) is connected to the microcontroller in a bidirectional manner i.e. it gives input to the microcontroller and also receives input from the microcontroller (200). Furthermore, the BLE device (204) is connected to the vehicle control unit (VCU). Moreover, the microcontroller is connected to the battery and power management unit (402) in order to supply power to all the connected components of the smart wearable accessory.
While specific language has been used to describe the invention, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
FURTHER ADVANTAGES OF THE INVENTION
An accessory or a device as disclosed in the present invention is able to control and interact with a motorcycle as discussed in earlier paragraphs by gesture recognition. For said control and interaction of the motorcycle, a smart glove as a smart wearable accessory is provided. Said smart glove is capable of controlling various predefined features of the motorcycle through a predefined set of gestures. The smart glove of the present invention is provided with a wrist auto lock mechanism wherein upon wearing such smart glove, a microcontroller actuates the mechanism, and the smart glove is automatically snapped on the wrist of the user. Further, a conductive fabric is provided for an inner lining of the smart glove (500) wherein the change in resistance of the fabric is registered by the microcontroller (200) which actuates the predefined parameters of the smart glove (500). The smart glove (500) enables wireless communication with the motorcycle. Furthermore, the smart glove (500) enables communication with personal devices of the user and any emergency situations can be communicated through such communication. Moreover, the light indicators provided on the smart glove (500) are also used for alerting some predefined situations like emergency.

REFERENCES

Sr. No. Part Name Reference Number
1 Smart wearable accessory or smart glove 500
2 sensor unit 100
3 inertial measurement unit 102
4 flex sensors 104
5 conductive fabric 106
6 pressure sensor 108
7 microcontroller unit 200
8 voltage converters 202
9 Bluetooth Low Energy Module 204
10 light indicators 206
11 switches 208
12 actuator unit 300
13 wrist auto lock mechanism 302
14 motor 304
15 lace 306
16 vibration motors 308
17 battery and power management unit 402
, Claims:We Claim:
1. A smart wearable accessory (500) for control and interaction of a motorcycle comprising:
- a sensor unit (100) comprising:
o an inertial measurement unit (IMU) (102) comprises of an accelerometer, a gyroscope and a magnetometer to capture a plurality of movements of a user’s hand;
o a plurality of flex sensors (104) mounted on one or more fingers of the smart wearable accessory (500) for gesture recognition;
o a conductive fabric (106) for the smart wearable accessory (500) comprises a pressure sensor (108) mounted on the smart wearable accessory (500) being capable of detecting that the user is wearing the smart wearable accessory (500);

- a microcontroller unit (200) connected to IMU (102) via communication interface protocol being capable of controlling gesture-based features of the motorcycle wherein the microcontroller (200) receives and processes data from the sensor unit (100), the microcontroller (200) comprising:
o a plurality of voltage converters (202) for supplying predetermined power to one or more sensors of the sensor unit (100) of the smart wearable accessory (500);
o one or more light indicators (206) to provide visual feedback to the user;

- an actuator unit (300) comprising:
o a wrist auto lock mechanism (302) comprises of a motor (304) actuated by microcontroller (200) to operate a lace (306) for automatic snapping of the lace (306) on the wrist of the user on detecting that the user is wearing the smart wearable accessory (500);
o a plurality of vibration motors (308) mounted on the smart wearable accessory (500) to provide pulse of vibration to the user to indicate the detection of the gesture and provide feedback on predetermined set of features;

- a battery and a power management unit (402) to supply power to all above-mentioned components.

2. The smart wearable accessory (500) as claimed in claim 1, wherein the inertial measurement unit (IMU) (102) has multiple degrees of freedom to capture the movements like left swipe, right swipe, up swipe, down swipe, single tap gesture, double tap gesture and likewise.

3. The smart wearable accessory (500) as claimed in claim 1, wherein a Bluetooth Low Energy (BLE) (204) module is configured to establish communication between the user’s cellphone, the motorcycle and the smart wearable accessory (500) through BLE protocol.

4. The smart wearable accessory (500) as claimed in claim 1, wherein the microcontroller (200) is provided with a predefined set of gestures or a pre trained Artificial Intelligence (AI) model is provided to control the gesture-based features of the motorcycle.

5. The smart wearable accessory as claimed in claim 1, wherein the plurality of flex sensors (104) and the plurality of pressure sensors (108) are integrated with an inner lining of the conductive fabric (106) and said combination of flex sensors (104) and pressure sensors (108) are configured to detect a gripping of a handle of the motorcycle by the user.

6. The smart wearable accessory (500) as claimed in claim 1, wherein the IMU (102) is configured to determine an accident or crash condition of the motorcycle.

7. The smart wearable accessory (500) as claimed in claim 1, wherein LED (206) based visual feedback is configured for blind spot detection, collision avoidance and speed warning data received from the motorcycle and likewise features.

8. The smart wearable accessory (500) as claimed in claim 1, wherein the wrist auto lock (302) is configured to be released manually or through a predefined gesture.

9. The smart wearable accessory (500) as claimed in claim 1, wherein a plurality of switches (208) are provided for switching ON and OFF the smart wearable accessory and predetermined set of actions.

10. A method of controlling and interacting with a motorcycle through a smart wearable accessory (500) comprising:

a. wearing of the smart wearable accessory (500) by a user wherein the user slides a hand through a conductive fabric (106) of the smart wearable accessory (500);
b. detecting the wearing of the smart wearable accessory (500) by a microcontroller (200) through a change in resistance of the conductive fabric (106);
c. actuating the wrist auto lock mechanism (302) by the microcontroller (200) wherein the motor (304) is configured to automatically snap a lace (306) on the wrist of the user;
d. moving the hand or fingers to command a gesture;
e. detecting the movement of the hand or fingers through the IMU (102);
f. registering a data related to the commanded gesture by a combination of IMU (102), a plurality of flex sensors (104) and a plurality of pressure sensors (108);
g. communicating said data to the microcontroller (200) through the IMU (102), the plurality of flex sensors (104) and the plurality of pressure sensors (108);
h. reading the IMU (102) data by the microcontroller (200);
i. checking said data in a predefined list of gestures by the microcontroller (200);
j. sending necessary command to the motorcycle by the microcontroller (200); and
k. responding to the commanded gesture by the motorcycle.

Dated this the 29th day of February 2024