Abstract

Gesture spotting is the task of detecting and recognizing gestures defined in a vocabulary. The difficulty of gesture spotting stems from the fact that valid gestures appear sporadically in a continuous gesture stream, interspersed with invalid gestures (movements that do not correspond to any gesture contained in the vocabulary). In this paper, a novel method for designing threshold models from valid gesture models learnt through Adaptive Boosting is proposed. This threshold model is adaptive in nature and discriminates between valid and invalid gestures. Furthermore, a gesture spotting network consisting of the individual gesture models and the threshold model is proposed to perform the task of spotting and recognition simultaneously. This technique is evaluated in the context of spotting and recognizing activity gestures (hand gestures) from continuous accelerometer data streams. The proposed technique results in a precision of 0.78 and a recall of 0.93 out performing the HMM based threshold model which resulted in 0.4 and 0.81 precision and recall values.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Pages155-160
Number of pages6
DOIs
StatePublished - Nov 22 2010
Event2010 IEEE International Conference on Multimedia and Expo, ICME 2010 - Singapore, Singapore
Duration: Jul 19 2010Jul 23 2010

Publication series

Name2010 IEEE International Conference on Multimedia and Expo, ICME 2010

Other

Other2010 IEEE International Conference on Multimedia and Expo, ICME 2010
CountrySingapore
CitySingapore
Period7/19/107/23/10

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Keywords

  • Accelerometer
  • Activity gestures
  • Adaptive boosting
  • Gesture spotting
  • Viterbi algorithm

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

Cite this

Krishnan, N. C., Lade, P., & Panchanathan, S. (2010). Activity gesture spotting using a threshold model based on adaptive boosting. In 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 (pp. 155-160). [5583013] (2010 IEEE International Conference on Multimedia and Expo, ICME 2010). https://doi.org/10.1109/ICME.2010.5583013