Towards Intelligent Control of Electric Wheelchairs for Physically Challenged People-Reference-Cited by-同舟云学术

Towards Intelligent Control of Electric Wheelchairs for Physically Challenged People

Published:2021 Issue: Volume: Page:225-260
ISSN:2194-8402
Container-title:Smart Sensors, Measurement and Instrumentation
language:
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Author:

Al-Aubidy Kasim M.,Abdulghani Mokhles M.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-71221-1_11

Reference28 articles.

1. Abdulghani, M. M., & Al-Aubidy, K.M. (2019). Wheelchair neuro fuzzy control using brain computer interface. In The 12th International Conference on the Developments in E-systems Engineering “DeSE2019”, Kazan, Russia, 7–10 October.

2. Abdulghani, M. M., Al-Aubidy, K. M., Ali, M. M., & Hamarsheh, Q. J. (2020). Wheelchair neuro fuzzy control and tracking system based on voice recognition. Sensors, 20, 2872.

3. Abiyev, R. H., Akkaya, N., Aytac, E., Günsel, I., & ÇaLman, A., (2016). Brain-computer interface for control of wheelchair using fuzzy neural networks. BioMed Research International, 2016, Article ID–9359868, 1–9.

4. Al-Aubidy, K. M., Ali, M. M., & Derbas, A. M. (2015). Multi-robot task scheduling and routing using neuro-fuzzy control. In 12th IEEE International Multi-Conference on Systems, Signals, Devices (SSD15), Tunisia, 16–19 March.

5. Barbosa, A. O. G., Freitas, D. Z., Guedes, J. Q. M., & Meggiolaro, M. A. (2013). Implementation of a wheelchair control using a four-command brain computer interface. In 22nd International Congress of Mechanical Engineering (COBEM-2013), Ribeirão Preto, São Paulo, 3–7 November.

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