Sensor-embedded teeth for oral activity recognition

  • Li C
  • Chen Y
  • Chen W
 et al. 
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Abstract

This paper presents the design and implementation of a wearable oral sensory system that recognizes human oral activities, such as chewing, drinking, speaking, and coughing. We conducted an evaluation of this oral sensory system in a laboratory experiment involving 8 participants. The results show 93.8% oral activity recognition accuracy when using a person-dependent classifier and 59.8% accuracy when using a person-independent classifier.

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Authors

  • Cheng-Yuan Li

  • Yen-Chang Chen

  • Wei-Ju Chen

  • Polly Huang

  • Hao-hua Chu

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