Human gesture quantification: An evaluation tool for somatic training and piano performance

Author

Payeur, Pierre ; Nascimento, Gabriel Martins Gomes ; Beacon, Jillian ; Comeau, Gilles ; Cretu, Ana-Maria ; D´Aoust, Vincent ; Charpentier, Marc-Antoine

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada

fYear

2014

fDate

10-11 Oct. 2014

Firstpage

100

Lastpage

105

Abstract

Motion capture technology has been widely adopted by computer gaming and the movie making industries. The technology also found a suitable niche in some areas of medicine. However, while sports and arts also present important opportunities for analysis of the human gesture, whether to improve performance or prevent injuries, the potential of motion capture was not yet fully exploited in these fields. This paper examines the potential of markerless motion capture in the context of piano pedagogy and performance evaluation when somatic training methods are used. An affordable motion capture platform based on Kinect sensor is designed to suit the specific requirements of piano playing, and an early experimental investigation of the suitability of the technology for this application is reported.

Keywords

gesture recognition; image capture; image motion analysis; image sensors; music; Kinect sensor; computer gaming; human gesture quantification; markerless motion capture technology; motion capture platform; movie making industries; piano pedagogy; piano performance evaluation; piano playing; somatic training methods; Back; Context; Joints; Three-dimensional displays; Tracking; Training; Wrist; Kinect sensor; human gesture measurement; motion capture; piano performance; somatic training;

fLanguage

English

Publisher

ieee

Conference_Titel

Haptic, Audio and Visual Environments and Games (HAVE), 2014 IEEE International Symposium on

Conference_Location

Richardson, TX

Print_ISBN

978-1-4799-5963-1

Type

conf

DOI

10.1109/HAVE.2014.6954339

Filename

6954339