CLIAMS:WE CLAIM:
1. A system for identifying a personality of a human subject comprising:
one or more hardware processors; and
a computer-readable medium storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
receiving visual data of the human subject from one or more hardware sensors;
validating the visual data using a facial recognition algorithm;
detecting at least one anatomical feature of the human subject from the visual data, wherein detecting the at least one anatomical feature of the human subject comprises:
locating a physical region corresponding to each of the at least one anatomical feature in the visual data,
extracting a geometrical representation of each of the at least one anatomical feature from the physical region, and
associating a first personality factor with each of the at least one anatomical feature, wherein the first personality factor is determined based on the geometrical representation of the anatomical feature; and
determining the personality of the human subject based on the first personality factor associated with each of the detected at least one anatomical feature.

2. The system according to claim 1, wherein the operation of validating the visual data further comprises determining a gender of the human subject based on a support vector machine algorithm.

3. The system according to claim 1, wherein the medium stores further instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
extracting at least one movement pattern of the human subject from the visual data, and
associating a second personality factor with each of the extracted at least one movement pattern,
wherein determining the personality of the human subject comprises determining the personality of the human subject based on the first personality factor associated with each of the detected at least one anatomical feature and the second personality factor associated with each of the extracted at least one movement pattern.

4. The system accordingly to claim 3, wherein the at least one movement pattern includes a gait of the human subject.

5. The system according to claim 3, wherein the second personality factor associated with each of the extracted at least one movement pattern is determined based on a hidden Markov model algorithm.

6. The system according to claim 3, wherein the first personality factor and second personality factor comprise one or more personality traits, and wherein the personality of the human subject is determined based on correlations between the personality factors associated with each of the detected at least one anatomical feature and each of the extracted at least one movement pattern, the correlations being obtained from the one or more personality traits.

7. The system according to claim 1, wherein the medium stores further instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
providing a real-time recommendation for a product to the human subject based on the determined personality of the human subject.

8. The system according to claim 7, wherein the medium stores further instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
receiving feedback via a computing device associated with the human subject; and
improving the real-time recommendation based on at least a machine-learning algorithm and the received feedback.

9. The system according to claim 8, wherein the received feedback comprises an amount of time the human subject observed the recommendation for the product.
10. A non-transitory computer-readable medium storing instructions for identifying a personality of a human subject that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
receiving visual data of the human subject from one or more hardware sensors;
validating the visual data using a facial recognition algorithm;
detecting at least one anatomical feature of the human subject from the visual data, wherein detecting the at least one anatomical feature of the human subject comprises:
locating a physical region corresponding to each of the at least one anatomical feature in the visual data,
extracting a geometrical representation of each of the at least one anatomical feature from the physical region, and
associating a first personality factor with each of the at least one anatomical feature, wherein the first personality factor is determined using the geometrical representation of the anatomical feature; and
determining the personality of the human subject based on the first personality factor associated with each of the detected at least one anatomical feature.

11. A method for identifying a personality of a human subject comprising:
receiving, using one or more hardware processors, visual data of the human subject from one or more hardware sensors;
validating, using one or more hardware processors, the visual data using a facial recognition algorithm;
detecting, using one or more hardware processors, at least one anatomical feature of the human subject from the visual data, wherein detecting the at least one anatomical feature of the human subject comprises:
locating a physical region corresponding to each of the at least one anatomical feature in the visual data,
extracting a geometrical representation of each of the at least one anatomical feature from the physical region, and
associating a first personality factor with each of the at least one anatomical feature, wherein the first personality factor is determined using the geometrical representation of the anatomical feature; and
determining, using one or more hardware processors, the personality of the human subject based on the first personality factor associated with each of the detected at least one anatomical feature.

12. The method according to claim 11, wherein validating, using one or more hardware processors, the visual data further comprises determining a gender of the human subject based on a support vector machine algorithm.

13. The method according to claim 11, further comprising:
extracting, using one or more hardware processors, at least one movement pattern of the human subject from the visual data, and
associating, using one or more hardware processors, a second personality factor with each of the extracted at least one movement pattern, and
wherein determining the personality of the human subject comprises determining the personality of the human subject based on the first personality factor associated with each of the detected at least one anatomical feature and the second personality factor associated with each of the extracted at least one movement pattern.

14. The method according to claim 13, wherein the at least one movement pattern includes a gait of the human subject.

15. The method according to claim 13, wherein the second personality factor associated with each of the extracted at least one movement pattern is determined based on a hidden Markov model algorithm.

16. The method according to claim 13, wherein the first personality factor and second personality factor comprise one or more personality traits, and wherein the personality of the human subject is determined based on correlations between the personality factors associated with each of the detected at least one anatomical feature and each of the extracted at least one movement pattern, the correlations being obtained from the one or more personality traits.

17. The method according to claim 11, wherein the operations further comprise providing, using one or more hardware processors, a real-time recommendation for a product to the human subject based on the determined personality of the human subject.

18. The method according to claim 17, further comprising:
receiving, using one or more hardware processors, feedback via a computing device associated with the human subject; and
improving, using one or more hardware processors, the real-time recommendation based on at least a machine-learning algorithm and the received feedback.

Dated this 25th day of March, 2014

MADHUSUDAN S.T.
Of K&S Partners
Attorney for the Applicant
,TagSPECI:TECHNICAL FIELD
Businesses and other groups have focused intensely on determining patterns of human behavior as a key driver of consumer demand and product usage. To this end, psychometric techniques have been used to provide a prediction of an individual’s personality based on one or more physical features of an individual. For example, psychometric analysis of the shape of an individual’s mouth may be used to classify the individual as having a certain personality archetype. A business may make certain assumptions about that personality archetype to tailor their sales and marketing efforts to individuals having personalities highly receptive to that business’s products or services.