Abstract

Processing of accelerometer data for recognizing short duration hand movements is a challenging problem. This paper focuses on characterization of acceleration data corresponding to hand movements (lift to mouth, scoop, stir, pour, unscrew cap) using aggregate statistical features and histograms computed from raw acceleration and derivative of the acceleration data. Data collected from an accelerometer placed on the wrist of subjects was used to perform the analysis. Supplementing the statistical features with raw acceleration histograms had a very marginal effect on the classification performance. However, the addition of derivative histograms resulted in a considerable improvement in the classification accuracy by nearly 8%. The effect of bin size of the derivative histograms was also conducted. It was observed that having a small number of bins decreased the classification accuracy by 3%. We thus show that adding features that capture the distribution of the changes in the acceleration data improve the classification performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages1700-1703
Number of pages4
DOIs
StatePublished - Nov 23 2009
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: Jun 28 2009Jul 3 2009

Publication series

NameProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
CountryUnited States
CityNew York, NY
Period6/28/097/3/09

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Keywords

  • Accelerometer
  • Feature extraction
  • Histograms

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Krishnan, N. C., Pradhan, G. N., & Panchanathan, S. (2009). Recognizing short duration hand movements from accelerometer data. In Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 (pp. 1700-1703). [5202848] (Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009). https://doi.org/10.1109/ICME.2009.5202848