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.
CITATION STYLE
Cheng, Y. L., Chen, Y. C., Chen, W. J., Huang, P., & Chu, H. H. (2013). Sensor-embedded teeth for oral activity recognition. In ISWC 2013 - Proceedings of the 2013 ACM International Symposium on Wearable Computers (pp. 41–44). https://doi.org/10.1145/2493988.2494352
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