Awais, M.A. and Yusoff, M.Z. and Yahya, N. and Ahmed, S.Z. and Qamar, M.U. (2020) Brain Controlled Wheelchair: A Smart Prototype. In: UNSPECIFIED.
Full text not available from this repository.Abstract
EEG has been largely used in both clinical and research applications. Brain computer interface (BCI) system is one of the major EEG research applications which can provide a new way of communications for special users who cannot communicate via normal pathways. This paper focuses on the development of the brain controlled wheelchair which incorporates two additional control interfaces including joystick and a remote control through an android phone. All three controls are integrated in such a way that it allows the user to change the mode of control by simply changing the state of the slide switch. This work utilizes the Neurosky Mindwave Mobile headset to capture the EEG signals through a single channel placed at the FP1 position. Eye blinks and attention levels are the key features of the captured EEG that are extracted and identified through an android application. The design also assimilates ultrasonic sensors based safety system which is capable of detecting the obstacles in all four directions to ensure the safety of the user. © Published under licence by IOP Publishing Ltd.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 8; Conference of 2nd Joint International Conference on Emerging Computing Technology and Sports, JICETS 2019 ; Conference Date: 25 November 2019 Through 27 November 2019; Conference Code:161273 |
Uncontrolled Keywords: | Android (operating system); Clinical research; Remote control; Sports; Wheelchairs, Additional control; Android applications; Attention level; EEG signals; Key feature; Mode of control; Research applications; Single channels, Brain computer interface |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:27 |
Last Modified: | 10 Nov 2023 03:27 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/13011 |