Posture identification with markerless commodity devices

Research output: Contribution to journalArticle

Abstract

Relevant studies of human-computer interaction indicate that human nature is of increasing importance to the design of novel mechanisms for replacing a keyboard and mouse. Therefore, gesture recognition, which involves the analysis of meaningful and expressive motions by users, has attracted significant research interest. Note that gestures generally include movements of the fingers, hands, arms, face, head, and body. In this study, we focus on posture identification, which involves only body positions. We also address several feasible applications of posture identification, including education, training, sports, films, video games, product design and even medical diagnosis. One of several alternatives, the markerless approach to motion capture, is adopted in our proposed scheme. It is not required for users to wear special clothes or equipment. The Kinect, which is a 3D motion sensor for the Xbox 360 game console developed by Microsoft, is used to build a prototype of the proposed system. Unlike previous motion capture technologies, the Kinect is affordable and can be used in home environments. Furthermore, we propose to develop a toolkit based on the Kinect SDK for posture identification and analysis. To demonstrate the usefulness of the proposed scheme, a use case is presented and evaluated.

Original languageEnglish
Pages (from-to)399-405
Number of pages7
JournalAdvanced Science Letters
Volume9
DOIs
Publication statusPublished - 2012 Jul 2

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Gesture recognition
posture
Human computer interaction
Sports
Posture
Product design
commodity
Motion Capture
Education
Wear of materials
Equipment and Supplies
Gestures
Sensors
training (sports)
Gesture Recognition
Video Games
research interest
Motion
product design
Product Design

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Computer Science(all)
  • Education
  • Mathematics(all)
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)

Cite this

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Posture identification with markerless commodity devices. / Teng, Wei-Guang; Hsu, Meng Chin; Hsu, Yu-Yun; Hou, Ting-Wei.

In: Advanced Science Letters, Vol. 9, 02.07.2012, p. 399-405.

Research output: Contribution to journalArticle

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