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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Steering a wheelchair by thought

Lakany, H., Lakany, H. (2005) Steering a wheelchair by thought. The IEE International Workshop on Intelligent Environments. pp. 199-202. ISSN 0537-9989

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Abstract

In this paper, we report on preliminary results of research whose aim is to classify EEG signals recorded from a subject whilst controlling a joystick and moving it io different directions. We develop a method based on extracting salient spatio-temporal features from the EEG signals using continuous wavelet transform. We perform principal component analysis on these features as means to assess their usefulness for classification and to reduce the dimensionality of the problem. We use the results from the PCA as inputs to a neural network based classifier. The classification results show that we are able to discriminate between different directions using the selected features. This shows that this approach could be potentially useful in building braincomputer interfaces (BCIs) where a paralysed person could communicate with a wheelchair and steer it to the desired direction using only EEG signals.