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Proceedings Paper

Hand motion modeling for psychology analysis in job interview using optical flow-history motion image: OF-HMI
Author(s): Intissar Khalifa; Ridha Ejbali; Mourad Zaied
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Paper Abstract

To survive the competition, companies always think about having the best employees. The selection is depended on the answers to the questions of the interviewer and the behavior of the candidate during the interview session. The study of this behavior is always based on a psychological analysis of the movements accompanying the answers and discussions. Few techniques are proposed until today to analyze automatically candidate’s non verbal behavior. This paper is a part of a work psychology recognition system; it concentrates in spontaneous hand gesture which is very significant in interviews according to psychologists. We propose motion history representation of hand based on an hybrid approach that merges optical flow and history motion images. The optical flow technique is used firstly to detect hand motions in each frame of a video sequence. Secondly, we use the history motion images (HMI) to accumulate the output of the optical flow in order to have finally a good representation of the hand‘s local movement in a global temporal template.

Paper Details

Date Published: 13 April 2018
PDF: 8 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962L (13 April 2018); doi: 10.1117/12.2314841
Show Author Affiliations
Intissar Khalifa, Research Groups in Intelligent Machines (Tunisia)
National Engineering School of Gabes (Tunisia)
Ridha Ejbali, Research Groups in Intelligent Machines (Tunisia)
National Engineering School of Gabes (Tunisia)
Mourad Zaied, Research Groups in Intelligent Machines (Tunisia)
National Engineering School of Gabes (Tunisia)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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