Please use this identifier to cite or link to this item: https://doi.org/10.1145/2393347.2396458
Title: A domain-specific music search engine for gait training
Authors: Li, Z.
Wang, Y. 
Keywords: domain-specific
gait training
music retrieval
Issue Date: 2012
Source: Li, Z.,Wang, Y. (2012). A domain-specific music search engine for gait training. MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia : 1311-1312. ScholarBank@NUS Repository. https://doi.org/10.1145/2393347.2396458
Abstract: This paper demonstrates a domain-specific music retrieval system to help music therapists find appropriate music for Parkinson's disease patients in their gait training. Different from existing music search engines, this system incorporates multiple music dimensions (i.e., tempo, cultural style, and beat strength) required in gait training, and facilitates the searching process by allowing music retrieval directly on these dimensions. To support music search by tempo, a user-perception based method is also proposed to improve state-of-the-art tempo estimation algorithms. We conducted a user study and evaluated the system efficacy in searching music using different types of queries based on these music dimensions. Experimental results demonstrate the effectiveness and usability of our system in therapeutic gait training. © 2012 Authors.
Source Title: MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
URI: http://scholarbank.nus.edu.sg/handle/10635/41519
ISBN: 9781450310895
DOI: 10.1145/2393347.2396458
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