Human characterization and emotion characterization from gait

Human gait has been proven to be of importance when trying to recognize people. In addition gait also conveys the emotional state of someone. The present study propose to objectively and systematically analyze gait data to highlight features that can characterize someone and the emotion conveyed. Rather than using gait stance phase, frequency, footstep length... we use the inverse kinematics data computed from the motion-capture data using a 34 degree of freedom human body model. Then we compute a similarity criteria with respect to a reference motion. We first utilize the 6 components of the base-link velocity for the similarity criteria computation. The motion data are collected on 4 candidates (2 males and 2 females professional actors), 4 emotional states are simulated: neutral, happy, angry, sad. Each is repeated 5 times. The experimental results show that using the gait characteristics it is possible to characterize each candidate and to characterize each emotional state with a good accuracy.

[1]  Massimo Tistarelli,et al.  Advanced Studies in Biometrics, Summer School on Biometrics, Alghero, Italy, June 2-6, 2003, Revised Selected Lectures and Papers , 2005, Advanced Studies in Biometrics.

[2]  Nikolaus F. Troje,et al.  Self Recognition versus Recognition of others by Biological Motion: Viewpoint-Dependent Effects , 2006 .

[3]  B. Gelder.  Towards the neurobiology of emotional body language , 2006, Nature Reviews Neuroscience.

[4]  Claire L. Roether,et al.  Critical features for the perception of emotion from gait. , 2009, Journal of vision.

[5]  A. B. Drought,et al.  WALKING PATTERNS OF NORMAL MEN. , 1964, The Journal of bone and joint surgery. American volume.

[6]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[7]  Gentiane Venture,et al.  Real-time identification and visualization of human segment parameters , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  M. Shiffrar,et al.  Recognizing people from their movement. , 2005, Journal of experimental psychology. Human perception and performance.

[9]  Yoshihiko Nakamura,et al.  Segmentation, Memorization, Recognition and Abstraction of Humanoid Motions Based on Correlations and Associative Memory , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[10]  Massimo Tistarelli,et al.  Biometrics and Identity Management , 2008, Lecture Notes in Computer Science.

[11]  J. Vroomen,et al.  The perception of emotions by ear and by eye , 2000 .

[12]  J. Cutting,et al.  Recognizing friends by their walk: Gait perception without familiarity cues , 1977 .

[13]  D. Janssen,et al.  Recognition of Emotions in Gait Patterns by Means of Artificial Neural Nets , 2008 .

[14]  M P Murray,et al.  COMPARISON OF FREE AND FAST SPEED WALKING PATTERNS OF NORMAL MEN , 1966, American journal of physical medicine.

[15]  Daniel Jokisch,et al.  Self recognition versus recognition of others by biological motion: viewpoint-dependent effects. , 2004, Perception.

[16]  Gentiane Venture,et al.  Motion capture based identification of the human body inertial parameters , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.