Please use this identifier to cite or link to this item: https://doi.org/10.1145/1873951.1874037
Title: A music search engine for therapeutic gait training
Authors: Li, Z.
Xiang, Q. 
Hockman, J.
Yang, J.
Yi, Y.
Fujinaga, I.
Wang, Y. 
Keywords: gait training
music therapy
Parkinson's disease
Issue Date: 2010
Source: Li, Z.,Xiang, Q.,Hockman, J.,Yang, J.,Yi, Y.,Fujinaga, I.,Wang, Y. (2010). A music search engine for therapeutic gait training. MM'10 - Proceedings of the ACM Multimedia 2010 International Conference : 627-630. ScholarBank@NUS Repository. https://doi.org/10.1145/1873951.1874037
Abstract: A music retrieval system is introduced that incorporate tempo, cultural, and beat strength features to help music therapists provide appropriate music for gait training for Parkinson's patients. Unlike current methods available to music therapists (e.g., personal CD/MP3 library search) we propose a domain-specific search engine that utilizes database of music found on YouTube. We independently evaluate the efficacy of our tempo, cultural, and beat strength features on a music database extracted from YouTube. Results from our user study demonstrate the effectiveness and usefulness of our search engine for this application. © 2010 ACM.
Source Title: MM'10 - Proceedings of the ACM Multimedia 2010 International Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/40875
ISBN: 9781605589336
DOI: 10.1145/1873951.1874037
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