Claims:WE CLAIM:
1. A method for recommending one or more gestures to a user interacting with a computing device, the method comprising:
receiving, by a gesture recommendation system, gesture data from one or more gesture detection sensors for each of the one or more gestures;
determining, by the gesture recommendation system, a noise score and at least one of a proximity score, a shape score, or a strength score based on the gesture data;
determining, by the gesture recommendation system, a cumulative score using the noise score and at least one of the proximity score, the shape score, or the strength score; and
recommending, by the gesture recommendation system, suggestions as to at least of improving the one or more gestures and changing the one or more gestures based on the cumulative score.
2. The method as claimed in claim 1, wherein the suggestions are recommended to improve the one or more gestures when the cumulative score is less than a predefined cumulative score.

3. The method as claimed in claim 1, wherein the suggestions are recommended to change the one or more gestures when the cumulative score is more than a predefined cumulative score.

4. The method as claimed in claim 1, wherein the one or more gesture detection sensors comprise at least of a proximity sensor, radar, image sensor,or infrared muscle contraction sensor.

5. The method as claimed in claim 1, wherein the proximity score is determined based on distance between body parts associated with the one or more gestures from the computing device.

6. The method as claimed in claim 1, wherein the shape score is determined based on number of body parts required and angular movement of the body parts required to make the one or more gestures.

7. The method as claimed in claim 1, wherein the strength score is determined based on number of muscles used to make the one or more gestures.

8. The method as claimed in claim 1, wherein the noise score is determined based on at least one of false positives associated with the one or more gestures and errors detected with the one or more gestures.

9. A gesture recommendation system for recommending one or more gestures to a user interacting with a computing device, the gesture recommendation system comprising:
at least one processor; and
a memory storing instructions executable by the at least one processor, wherein the instructions configure the at least one processor to:
receive gesture data from one or more gesture detection sensors for each of the one or more gestures;
determine a noise score and at least one of a proximity score, a shape score or a strength score based on the gesture data;
determine a cumulative score using the noise score and at least one of the proximity score, the shape score, or the strength score; and
recommend suggestions as to at least of improving the one or more gestures and changing the one or more gestures based on the cumulative score.
10. The gesture recommendation system as claimed in claim 9, wherein the processor recommends suggestions to improve the one or more gestures when the cumulative score is less than a predefined cumulative score.
11. The gesture recommendation system as claimed in claim 9, wherein the processor recommends suggestions to change the one or more gestures when the cumulative score is more than a predefined cumulative score.

12. The gesture recommendation system as claimed in claim 9, wherein the one or more gesture detection sensors comprise at least of a proximity sensor, radar, image sensor or infrared muscle contraction sensor.

13. The gesture recommendation system as claimed in claim 9, wherein the processor determines the proximity score based on distance between body parts associated with the one or more gestures from the computing device.

14. The gesture recommendation system as claimed in claim 1, wherein the processor determines the shape score based on number of body parts required and angular movement of the body parts required to make the one or more gestures.

15. The gesture recommendation system as claimed in claim 1, wherein the processor determines the strength score based on number of muscles used to make the one or more gestures.

16. The gesture recommendation system as claimed in claim 1, wherein the processor determines the noise score based on at least one of false positives associated with the one or more gestures and errors detected with the one or more gestures.
17. A non-transitory computer readable medium including operations stored thereon that when processed by at least one processor cause a gesture recommendation system to perform the acts of:
receiving gesture data from one or more gesture detection sensors for each of the one or more gestures;
determining a noise score and at least one of a proximity score, a shape score or a strength score based on the gesture data;
determining a cumulative score using the noise score and at least one of the proximity score, the shape score, or the strength score; and
recommending suggestions as to at least of improving the one or more gestures and changing the one or more gestures based on the cumulative score.

Dated this 27th day of January, 2016

SWETHA S.N
OF K & S PARTNERS
AGENT FOR THE APPLICANT
, Description:TECHNICAL FIELD

The present subject matter is related, in general to gesture recommendation, and more particularly, but not exclusively to a method and a system for recommending one or more gestures to a user interacting with a computing device.