Posture recognition using sensing blocks

Yulong Xi, Seoungjae Cho, Kyhyun Um, Kyungeun Cho

Research output: Contribution to journalArticlepeer-review

Abstract

Posture recognition has been investigated in a variety of fields including medicine, HCI, and video games. In particular, it is important to improve the generality and recognition speed of posture recognition to improve the user experience in diverse kinds of user environments. This paper proposes a posture recognition algorithm with high generality and recognition speed. The algorithm is able to recognize a variety of postures, regardless of the number of joints recognized in human skeleton data. Furthermore, experimental results show that the method can quickly process a large quantity of data and recognize 22 postures in real time.

Original languageEnglish
Pages (from-to)243-247
Number of pages5
JournalLecture Notes in Electrical Engineering
Volume373
DOIs
StatePublished - 2015

Keywords

  • Human-computer interface
  • Pattern recognition
  • Posture recognition
  • Support vector machine

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