Nicholls, Benjamin, Ang, Chee Siang, Efstratiou, Christos, Lee, Yongkuk, Yeo, Woon-Hong (2017) Swallowing detection for game control: using skin-like electronics to support people with dysphagia. In: Pervasive Computing and Communications Workshops (PerCom Workshops). 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). . IEEE (doi:10.1109/PERCOMW.2017.7917598) (KAR id:63952)
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Official URL: http://dx.doi.org/10.1109/PERCOMW.2017.7917598 |
Abstract
In this paper, we explore the feasibility of developing a sensor-driven rehabilitation game for people suffering from dysphagia. This study utilizes the skin-like electronics for unobtrusive, comfortable, continuous recording of surface electromyograms (EMG) during swallowing and use them for driving game-based, user-controlled feedback. The experimental study includes the development and evaluation of a real-time swallow detection algorithm using skin-like sensors and a game-based human-computer interaction. The user evaluations support the ease of use of the skin-like electronics as a motivational tool for people with dysphagia.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/PERCOMW.2017.7917598 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Christos Efstratiou |
Date Deposited: | 11 Oct 2017 13:14 UTC |
Last Modified: | 05 Nov 2024 11:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/63952 (The current URI for this page, for reference purposes) |
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