Boyd, Jeffrey EdwinManikashani, Peyman2015-09-172015-11-202015-09-172015Manikashani, 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/24946http://hdl.handle.net/11023/2463Humans 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.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Computer ScienceHuman Motion SynchronizationPhase-Entrainmentmaster thesishttp://dx.doi.org/10.11575/PRISM/24946