Gesture spotting in continuous whole body action sequences using discrete Hidden Markov models

A. Youn Park, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Gestures are expressive and meaningful body motions used in daily life as a means of communication so many researchers have aimed to provide natural ways for human-computer interaction through automatic gesture recognition. However, most of researches on recognition of actions focused mainly on sign gesture. It is difficult to directly extend to recognize whole body gesture. Moreover, previous approaches used manually segmented image sequences. This paper focuses on recognition and segmentation of whole body gestures, such as walking, running, and sitting. We introduce the gesture spotting algorithm that calculates the likelihood threshold of an input pattern and provides a confirmation mechanism for the provisionally matched gesture pattern. In the proposed gesture spotting algorithm, the likelihood of non-gesture Hidden Markov Models(HMM) can be used as an adaptive threshold for selecting proper gestures. The proposed method has been tested with a 3D motion capture data, which are generated with gesture eigen vector and Gaussian random variables for adequate variation. It achieves an average recognition rate of 98.3% with six consecutive gestures which contains non-gestures.

Original languageEnglish
Title of host publicationGesture in Human-Computer Interaction and Simulation
Subtitle of host publication6th International Gesture Workshop, GW 2005, Revised Selected Papers
Pages100-111
Number of pages12
DOIs
Publication statusPublished - 2006
Event6th International Gesture Workshop, GW 2005 - Berder Island, France
Duration: 2005 May 182005 May 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3881 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Gesture Workshop, GW 2005
CountryFrance
CityBerder Island
Period05/5/1805/5/20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, A. Y., & Lee, S. W. (2006). Gesture spotting in continuous whole body action sequences using discrete Hidden Markov models. In Gesture in Human-Computer Interaction and Simulation: 6th International Gesture Workshop, GW 2005, Revised Selected Papers (pp. 100-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3881 LNAI). https://doi.org/10.1007/11678816_12