用于口腔活动识别的传感器嵌入牙齿

The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference Pub Date : 2013-09-08 DOI:10.1145/2493988.2494352

Cheng-Yuan Li, Yen-Chang Chen, Wei-Ju Chen, Polly Huang, Hao-Hua Chu

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引用次数: 47

摘要

本文介绍了一种可穿戴口腔传感系统的设计和实现，该系统可以识别人类的口腔活动，如咀嚼、饮用、说话和咳嗽。我们在一个有8名参与者的实验室实验中对这个口腔感觉系统进行了评估。结果表明，使用人相关分类器时，口腔活动识别准确率为93.8%，使用人独立分类器时，准确率为59.8%。

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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.

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The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference

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