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- W2247019280 abstract "We propose a human -- machine interface based on tongue motion for tetraplegics. The proposed system measures electromyography (EMG) signals in an oral cavity and estimate tongue motions. We measure four channels of intraoral EMG on the gum when a healthy subject moves the tongue in four directions (forward, backward, left, and right). For each EMG signal, we obtain the signal power for five frequency bands. We employ least-squares probabilistic classification (LSPC) to classify the tongue motions into these four motions and rest, and we obtained an 87.7 percent classification rate. Moreover, to attach a click function into the system, we measure the intraoral EMG signals caused by the clicking sound and those of other motions. Therefore, by embedding an EMG measurement system into an artificial tooth, we can realize a tongue -- computer interface that is not uncomfortable for users." @default.
- W2247019280 created "2016-06-24" @default.
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- W2247019280 date "2015-10-01" @default.
- W2247019280 modified "2023-09-23" @default.
- W2247019280 title "Tongue-Motion Classification Using Intraoral Electromyography for a Tongue-Computer Interface" @default.
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- W2247019280 doi "https://doi.org/10.1109/smc.2015.411" @default.
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