Sensor - Embedded Teeth for Oral Activity Recognition
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.