Human motion classification and recognition using wholebody contact force

Yabuki, Takumi; Venture, Gentiane

doi:10.1109/iros.2015.7353979

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Cited by 4 publications

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“…The recorded motions are automatically segmented [26]. The feature vectors were calculated with the vertical forces measured by the Nintendo wii balance board and the moment of force around the horizontal plane.…”

Section: Resultsmentioning

confidence: 99%

Using Dynamics to Recognize Human Motion

Venture

Yabuki

Kinase

et al. 2015

Dance Notations and Robot Motion

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We explore the importance of the dynamics of motion, and how it can be used first to develop and to personalize intelligent systems that can understand human motions, then to analyze motions. We propose a framework that uses not only the kinematics information of movements but also the dynamics and allows to classify, analyze and recognize motions, emotions in a non-verbal context. We use the direct measure of the dynamics when available. If not we propose to compute the dynamics from the kinematics, and use it to understand human motions. Finally, we discuss some developments and concrete applications in the field of motion analysis and give some experimental results using gait and simple choreography.

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Section: Resultsmentioning

confidence: 99%