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Method And System For Determining An Intent Of A Subject Using Behavioural Pattern

Abstract: The present disclosure relates to method and system for determining intent of subject using behavioural pattern by intent determination system. The intent determination system receiving video data associated with subject from one or more information sources, extracting pre-defined number of frames before target frame from video data of subject, obtaining plurality of behavioural parameters of subject for each of extracted frames, determining score for plurality of behavioural parameters of extracted frames using trained intent model, calculating weighted average score for plurality of behavioural parameters of extracted frames based on score of each of behavioural parameters, analysing emotion of subject for pre-defined number of frames based on weighted average score and determining intent of subject based on emotion of subject analysed. The present disclosure removes the need of human intervention in determining intent of subject. Fig.1

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
30 May 2017
Publication Number
49/2018
Publication Type
INA
Invention Field
PHYSICS
Status
Email
bangalore@knspartners.com
Parent Application
Patent Number
Legal Status
Grant Date
2023-12-13
Renewal Date

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore 560035, Karnataka, India.

Inventors

1. ADRITA BARARI
Block B-16/249, Kendriya Vihar, VIP Road, Haldirams Bus Stop, Koikhali, Kolkata - 700052, West Bengal, India.
2. GHULAM MOHIUDDIN KHAN
F-901, Concorde Manhattans, Electronic City Phase -1, Bangalore - 560100, Karnataka, India.
3. MANJUNATH RAMACHANDRA
80, Sadhana, 2nd Main, BSK 3rd Stage, Katriguppe East, Bangalore-560085, Karnataka, India.

Specification

Claims:WE CLAIM:
1. A method for determining an intent of a subject using behavioural patterns, the method comprising:
receiving, by an intent determination system (101), video data associated with a subject from one or more information sources (103);
extracting, by the intent determination system (101), a pre-defined number of frames before a target frame from the video data (201) of the subject;
obtaining, by the intent determination system (101), a plurality of behavioural parameters of the subject for each of the extracted frames, wherein the plurality of behavioural parameters comprises body language, behaviour, eye contact, response time, consistency of answer and voice characteristics associated with the subject;
determining, by the intent determination system (101), a score for the plurality of behavioural parameters of the extracted frames using a trained intent model (207), wherein the trained intent model (207) is trained using a plurality of training video data (201) associated with subjects from a plurality of categories;
calculating, by the intent determination system (101), a weighted average score for the plurality of behavioural parameters of the extracted frames based on the score and a weight of each of the behavioural parameters, wherein the weight for the plurality of behavioural parameters is determined while training the intent model (207);
analysing, by the intent determination system (101), emotion of the subject for the pre-defined number of frames based on the weighted average score; and
determining, by the intent determination system (101), an intent of the subject based on the emotion of the subject analysed.
2. The method as claimed in claim 1, wherein the target frame represents a frame at which the intent of the subject is to be determined.
3. The method as claimed in claim 1, wherein determining the score for each of the plurality of behavioural patterns comprises mapping each of the behavioural patterns of the subject with a corresponding behavioural parameter stored in the intent model (207).

4. The method as claimed in claim 1, wherein the intent model (207) comprises behavioural patterns and scores for each of the subjects associated with the plurality of categories.

5. The method as claimed in claim 1, wherein analysing the emotion of the subject comprises identifying at least one of negative weighted average score and positive weighted average score for the extracted video frames.

6. The method as claimed in claim 1, wherein the intent of the subject comprises one of a truthful intent and a deceitful intent.

7. The method as claimed in claim 6, wherein the intent of the subject is determined as deceitful on identifying negative weighted average score to be greater than positive weighted average score.

8. The method as claimed in claim 6, wherein the intent of the subject is determined as truthful on identifying positive weighted score to be greater than negative weighted average score.

9. An intent determination system for determining an intent of a subject using behavioural patterns, comprising:
a processor (113); and
a memory (111) communicatively coupled to the processor (113), wherein the memory (111) stores processor instructions, which, on execution, causes the processor (113) to:
receive video data (201) associated with a subject from one or more information sources (103);
extract a pre-defined number of frames before a target frame from the video data (201) of the subject;
obtain a plurality of behavioural parameters of the subject for each of the extracted frames, wherein the plurality of behavioural parameters comprises body language, behaviour, eye contact, response time, consistency of answer and voice characteristics associated with the subject;
determine a score for the plurality of behavioural parameters of the extracted frames using a trained intent model (207), wherein the trained intent model (207) is trained using a plurality of training video data (201) associated with subjects from a plurality of categories;
calculate a weighted average score for the plurality of behavioural parameters of the extracted frames based on the score and a weight of each of the behavioural parameters, wherein the weight for the plurality of behavioural parameters is determined while training the intent model (207);
analyse emotion of the subject for the pre-defined number of frames based on the weighted average score; and
determine an intent of the subject based on the emotion of the subject analysed.

10. The intent determination system as claimed in claim 9, wherein the target frame represents a frame at which the intent of the subject is to be determined.

11. The intent determination system as claimed in claim 9, wherein determining the score for each of the plurality of behavioural patterns comprises mapping each of the behavioural patterns of the subject with a corresponding behavioural parameter stored in the intent model (207).

12. The intent determination system as claimed in claim 9, wherein the intent model (207) comprises behavioural patterns and scores for each of the subjects associated with the plurality of categories.

13. The intent determination system as claimed in claim 9, wherein analysing the emotion of the subject comprises identifying at least one of negative weighted average score and positive weighted average score for the extracted video frames.

14. The intent determination system as claimed in claim 9, wherein the intent of the subject comprises one of truthful intent and deceitful intent.

15. The intent determination system as claimed in claim 14, wherein the intent of the subject is determined as deceitful on identifying negative weighted average score to be greater than positive weighted average score.

16. The intent determination system as claimed in claim 14, wherein the intent of the subject is determined as truthful on identifying positive weighted score to be greater than negative weighted average score.

Dated this 30th day of May 2017

R Ramya Rao
Of K&S Partners
Agent for the Applicant
, Description:TECHNICAL FIELD
The present subject matter is related in general to the field of behaviour analysis, more particularly, but not exclusively to a method and system for determining an intent of a subject using behavioural pattern.

Documents

Application Documents

# Name Date
1 Power of Attorney [30-05-2017(online)].pdf 2017-05-30
2 Form 5 [30-05-2017(online)].pdf 2017-05-30
3 Form 3 [30-05-2017(online)].pdf 2017-05-30
4 Form 18 [30-05-2017(online)].pdf_18.pdf 2017-05-30
5 Form 18 [30-05-2017(online)].pdf 2017-05-30
6 Form 1 [30-05-2017(online)].pdf 2017-05-30
7 Drawing [30-05-2017(online)].pdf 2017-05-30
8 Description(Complete) [30-05-2017(online)].pdf_17.pdf 2017-05-30
9 Description(Complete) [30-05-2017(online)].pdf 2017-05-30
10 REQUEST FOR CERTIFIED COPY [31-05-2017(online)].pdf 2017-05-31
11 abstract 201741019002.jpg 2017-06-01
12 PROOF OF RIGHT [11-07-2017(online)].pdf 2017-07-11
13 Correspondence by Agent_Form 1_13-07-2017.pdf 2017-07-13
14 201741019002-RELEVANT DOCUMENTS [05-04-2021(online)].pdf 2021-04-05
15 201741019002-PETITION UNDER RULE 137 [05-04-2021(online)].pdf 2021-04-05
16 201741019002-Information under section 8(2) [05-04-2021(online)].pdf 2021-04-05
17 201741019002-FORM 3 [05-04-2021(online)].pdf 2021-04-05
18 201741019002-OTHERS [06-04-2021(online)].pdf 2021-04-06
19 201741019002-FER_SER_REPLY [06-04-2021(online)].pdf 2021-04-06
20 201741019002-DRAWING [06-04-2021(online)].pdf 2021-04-06
21 201741019002-CORRESPONDENCE [06-04-2021(online)].pdf 2021-04-06
22 201741019002-COMPLETE SPECIFICATION [06-04-2021(online)].pdf 2021-04-06
23 201741019002-CLAIMS [06-04-2021(online)].pdf 2021-04-06
24 201741019002-FER.pdf 2021-10-17
25 201741019002-PatentCertificate13-12-2023.pdf 2023-12-13
26 201741019002-IntimationOfGrant13-12-2023.pdf 2023-12-13
27 201741019002-PROOF OF ALTERATION [10-04-2024(online)].pdf 2024-04-10

Search Strategy

1 Search9002E_29-11-2020.pdf

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