Assistive device for non-visually discerning a three-dimensional (3D) real-world area surrounding a user

1. An assistive device, comprising:

a haptic feedback interface comprising a plurality of haptic elements;

a first circuitry configured to receive sensor data of a three-dimensional (3D) real-world area from a plurality of different types of sensors that are communicatively coupled to the assistive device, wherein the sensor data is associated with a first proximity range of the assistive device;

a second circuitry configured to:

determine a scaling factor based on the first proximity range and a surface area of a defined region of the haptic feedback interface; and

establish a mapping of a plurality of objects within the first proximity range to at least one haptic element of the plurality of haptic elements in the defined region of the haptic feedback interface;

adjust sizes of the plurality of objects to map the plurality of objects to the at least one haptic element in the defined region of the haptic feedback interface, wherein the sizes of the plurality of objects are adjusted based on the scaling factor, and

wherein the mapping is established based on the received sensor data; and

a haptic feedback generator configured to generate a touch-discernible feedback on the haptic feedback interface based on the established mapping,

wherein the touch-discernible feedback comprises a plurality of differential touch-discernible cues to discern a 3D arrangement of each object of the plurality of objects with respect to a position of a user of the assistive device.

2. The assistive device according to claim 1 , wherein the touch-discernible feedback corresponds to at least one of a differential pressure-based, a differential temperature-based, a differential electric pulse-based, a differential raised shape pattern-based touch-discernible feedback, or a combination of different touch-discernible feedbacks.

3. The assistive device according to claim 1 , wherein the second circuitry is further configured to identify an object-type of each object of the plurality of objects within the first proximity range of the assistive device,

wherein the object-type of each object is identified based on the received sensor data.

4. The assistive device according to claim 3 , wherein the haptic feedback generator is further configured to generate the plurality of differential touch-discernible cues to discern the object-type of each object of the plurality of objects within the first proximity range of the assistive device.

5. The assistive device according to claim 4 ,

wherein the second circuitry is further configured to determine at least one of a relative position or a height of each object of the plurality of objects with respect to the position of the user of the assistive device for the 3D arrangement, and

wherein the at least one of the relative position or the height of each object is determined based on the sensor data received in real time or near-real time from the plurality of different types of sensors.

6. The assistive device according to claim 4 , wherein the second circuitry is further configured to generate a three-dimensional (3D) digital model of the 3D real-world area within the first proximity range,

wherein the 3D digital model is generated based on the received sensor data, and

wherein the generated 3D digital model is utilized for the mapping of the plurality of objects within the first proximity range to the at least one haptic element of the plurality of haptic elements.

7. The assistive device according to claim 4 , wherein the second circuitry is further configured to:

acquire a first template map of the 3D real-world area within the first proximity range of the assistive device from a server, wherein the first template is acquired based on the position of the user; and

update the first template map with at least positional information of the plurality of objects based on the sensor data of the 3D real-world area within the first proximity range of the assistive device, wherein the at least positional information of the plurality of objects is received from the plurality of different types of sensors in real time or near-real time.

8. The assistive device according to claim 1 , wherein the first proximity range is selected on the assistive device.

9. The assistive device according to claim 1 , wherein the second circuitry is further configured to update the mapping of the plurality of objects within the first proximity range to the at least one haptic element of the plurality of haptic elements in the defined region of the haptic feedback interface,

wherein the mapping is updated based on a change in position of at least one movable object of the plurality of objects or the user, and

wherein the change in the position is detected in real time or near-real time from the received sensor data.

10. The assistive device according to claim 9 , wherein the haptic feedback generator is further configured to dynamically update the touch-discernible feedback on the haptic feedback interface based on the update of the mapping, and

wherein the updated touch-discernible feedback comprises a change in a relative position of at least one object of the plurality of objects with respect to the position of the user of the assistive device.

11. The assistive device according to claim 1 , wherein the haptic feedback generator is further configured to output an audio feedback in combination with the touch-discernible feedback to enable non-visual discernment of the 3D real-world area within the first proximity range of the assistive device by the user as the user moves from a first location to a second location in the 3D real-world area within the first proximity range.

12. The assistive device according to claim 1 , further comprises a learning engine in a memory of the assistive device,

wherein the second circuitry is further configured to determine at least one pattern in a plurality of user interactions on the haptic feedback interface over a period of time, and

wherein the at least one pattern is determined based on a tracking of a usage pattern of the assistive device by the learning engine.

13. The assistive device according to claim 12 , wherein the second circuitry is further configured to adapt the mapping of the plurality of objects within the first proximity range to the at least one haptic element of the plurality of haptic elements in the defined region of the haptic feedback interface based on the determined at least one pattern.

14. The assistive device according to claim 1 , wherein the haptic feedback interface is a haptic input/output interface.

15. The assistive device according to claim 14 further comprising a haptic feedback controller,

wherein the haptic feedback controller is configured to detect a haptic input on the haptic feedback interface, and

wherein the haptic input is detected based on a press on at least one of the plurality of differential touch-discernible cues generated in the touch-discernible haptic feedback.

16. The assistive device according to claim 1 , wherein the scaling factor indicates a relative adjustment of at least one of a shape, a height, or a position of the plurality of objects for the mapping of the plurality of objects to the at least one haptic element of the plurality of haptic elements in the defined region of the haptic feedback interface.

17. A method to provide assistance to a user, comprising:

in an assistive device that comprises a first circuitry, a second circuitry, a haptic feedback generator, and a haptic feedback interface that includes a plurality of haptic elements:

receiving, by the first circuitry, sensor data of a three-dimensional (3D) real-world area from a plurality of different types of sensors that are communicatively coupled to the assistive device, wherein the sensor data is associated with a first proximity range of the assistive device;

determining a scaling factor based on the first proximity range and a surface area of a defined region of the haptic feedback interface;

establishing, by the second circuitry, a mapping of a plurality of objects within the first proximity range to at least one haptic element of the plurality of haptic elements in the defined region of the haptic feedback interface;

adjusting sizes of the plurality of objects to map the plurality of objects to the at least one haptic element in the defined region of the haptic feedback interface, wherein the sizes of the plurality of objects are adjusted based on the scaling factor, and

wherein the mapping is established based on the received sensor data; and

generating, by the haptic feedback generator, a touch-discernible feedback on the haptic feedback interface based on the established mapping,

wherein the touch-discernible feedback comprises a plurality of differential touch-discernible cues to discern a 3D arrangement of each objects of the plurality of objects with respect to a position of the user of the assistive device, and wherein the touch-discernible feedback is for non-visual discernment of the 3D real-world area surrounding the user.

18. The method according to claim 17 , further comprising identifying, by the second circuitry, an object-type of each object of the plurality of objects within the first proximity range of the assistive device,

wherein the object-type of each object is identified based on the received sensor data.

19. The method according to claim 18 , further comprising generating, by the haptic feedback generator, the plurality of differential touch-discernible cues to discern the object-type of each object of the plurality of objects within the first proximity range of the assistive device.

20. The method according to claim 17 , further comprising determining, by the second circuitry, at least one of a relative position or a height of each object of the plurality of objects with respect to the position of the user of the assistive device for the 3D arrangement, wherein the at least one of the relative position or the height of each object is determined based on the sensor data received in real time or near-real time from the plurality of different types of sensors, and wherein the plurality of different types of sensors are worn by the user.

21. The method according to claim 17 , further comprising generating, by the second circuitry, a three-dimensional (3D) digital model of the 3D real-world area within the first proximity range,

wherein the 3D digital model is generated based on the received sensor data, and

wherein the generated 3D digital model is utilized for the mapping of the plurality of objects within the first proximity range to the at least one haptic element of the plurality of haptic elements.