Evaluation of Sensing and Processing Parameters for Human Action Recognition

Xiao Bo, Alan Huebner, Christian Poellabauer, Megan K. Obrien, Chaithanya Krishna Mummidisetty, Arun Jayaraman

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

1 Scopus citations

Abstract

Accurate recognition of human actions is essential to many health-care, entertainment, and human-computer interface applications. However, the achievable accuracy depends on a variety of parameters for the various stages of recognition, including sensing, feature extraction, and classification. In this paper, we quantitatively evaluate the classification accuracy for varying sensing rates, sensor data filtering techniques, segmentation approaches, and classification algorithms for several different types of action. The results of these evaluations provide guidelines and strategies for the design of future action recognition systems.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
EditorsMollie Cummins, Julio Facelli, Gerrit Meixner, Christophe Giraud-Carrier, Hiroshi Nakajima
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages541-546
Number of pages6
ISBN (Electronic)9781509048816
DOIs
StatePublished - Sep 8 2017
Event5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States
Duration: Aug 23 2017Aug 26 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017

Other

Other5th IEEE International Conference on Healthcare Informatics, ICHI 2017
CountryUnited States
CityPark City
Period8/23/178/26/17

Keywords

  • Action Recognition
  • Parameter Optimization

ASJC Scopus subject areas

  • Health Informatics

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