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Fractal-structured, wearable soft sensors for control of a robotic wheelchair via electrooculograms

Mishra, Saswat
Lee, Yongkuk
Lee, Dong Sup
Yeo, Woon-Hong
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2017-05-30
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Conference paper
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Keywords
Electrodes,Electrooculograms,Wearable sensor,Soft electronics,Human-machine interface,Skin-electrode,Mobile robots,Wheelchairs
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Citation
S. Mishra, Y. Lee, D. S. Lee and W. -H. Yeo, "Fractal-Structured, Wearable Soft Sensors for Control of a Robotic Wheelchair via Electrooculograms," 2017 IEEE 67th Electronic Components and Technology Conference (ECTC), Orlando, FL, USA, 2017, pp. 212-217, doi: 10.1109/ECTC.2017.68.
Abstract
Neurodegenerative diseases create a significant issue by affecting the mobility of individuals. One such disease is Parkinson's disorder, which is a chronic problem for more than 1 million citizens in the United States. Typical symptoms, including tremors, imbalance, and decreased mobility, are a resultant of the death of nerve cells in the brain. As the disease continues to further deteriorate the health of a person, the individual is in need of a wheelchair. The problem is that tremors make the use of a conventional joystick difficult. Here, we propose a soft wearable electrode system for control of a robotic wheelchair without the use of a joystick. A set of skin-like electrodes enables users to control a wheelchair via electrooculograms (EOG) from eye movements. Advances in data acquisition and classification algorithms allow a wireless human-machine interface. We use a set of statistical measures with machine learning techniques. The linear discriminant analysis (LDA) classifier yields the classification accuracy of ~87% and ~92% for rigid gel electrode and soft fractal electrode, respectively. Collectively, the wearable, soft electronics with the electronic wheelchair interface provide a non-invasive, persistent human-machine interface.
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Description
Published in: 2017 IEEE 67th Electronic Components and Technology Conference (ECTC)
Date Added to IEEE Xplore: 03 August 2017 Date of Conference: 30 May 2017 - 02 June 2017.
Conference Location: Orlando, FL, USA
Publisher
IEEE
Journal
2017 IEEE 67th Electronic Components and Technology Conference (ECTC)
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2377-5726
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