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Cited by 361

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Electroencephalogram-based control of an electric wheelchair

Open access
Tanaka, K., Matsunaga, K., Wang, H.O.·2005·IEEE Transactions on Robotics

Abstract

This paper presents a study on electroencephalogram (EEG)-based control of an electric wheelchair. The objective is to control the direction of an electric wheelchair using only EEG signals. In other words, this is an attempt to use brain signals to control mechanical devices such as wheelchairs. To achieve this goal, we have developed a recursive training algorithm to generate recognition patterns from EEG signals. Our experimental results demonstrate the utility of the proposed recursive training algorithm and the viability of accomplishing direction control of an electric wheelchair by only EEG signals.

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Crossref · 10.1109/tro.2004.842350

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Metadata

Authors
Tanaka, K., Matsunaga, K., & Wang, H. O.
Venue
IEEE Transactions on Robotics
Published
2005-08
Volume
21
Issue
4
Pages
762-766
ISSN
1552-3098 (ISSN-L)
OpenAlex
W2112987103
Cited by
361
References
2
FWCI
3.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electroencephalogram-based control of an electric wheelchair. https://app.cochat.ai/papers/10.1109/tro.2004.842350
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Tanaka, K., Matsunaga, K., & Wang, H. O. (2005). Electroencephalogram-based control of an electric wheelchair. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2004.842350

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.