A Phase-Entrained Particle Filter for Human Motion Synchronization
Date
2015-09-17
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Abstract
Humans have a specialized ability to synchronize their movements with a perceived auditory feedback. The association between human locomotion and sound feedback is especially profound when the movement has a periodic nature and the feedback is rhythmic. Dancing or marching with rhythmic music are examples of such association. This thesis presents a human motion feedback system capable of generating rhythmic auditory feedback synchronized to a periodic movement. We demonstrate the synchronization in the context of an everyday, yet complex example of human locomotion: normal walking gait. Our system relies on visual measurements provided by a conventional RGB camera and utilizes a phase-entrained particle filter to synchronize an oscillator with a subject's movement in real-time. A long-term prospect of this research is that rhythmic sonic feedback in sync with walking gaits has potential to be used in therapeutic applications for clinical treatment of gait disorders.
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Computer Science
Citation
Manikashani, P. (2015). A Phase-Entrained Particle Filter for Human Motion Synchronization (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24946