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• W3115295801 abstract "Disabled and elderly people may be very difficult to control an electrical wheelchair by using a joystick in environments with tight spaces, narrow pathways, and obstacles. This paper proposes a wheelchair system with hands-free control to assist users to overcome this difficulty. In particular, a combination of EEG signals and a 2-dimensional (2D) map is applied in this wheelchair system. Firstly, a human brain-computer communication system for interfacing with human facial gestures to execute commands using the EEG signals is designed. The EEG signals are processed using filtering, scaling, and then features are extracted to connect with the input of one neural network for classifying the EEG signals corresponding to control commands. Secondly, environmental information with obstacle and free spaces are collected for building a 2D map using an RGB-D camera system. Therefore, user inputs are used to a navigation plan along with the 2D safety map for a navigation wheelchair system with collision-free control during movement. Experimental results demonstrate to illustrate the feasibility and effectiveness of the proposed method." @default.
• W3115295801 created "2021-01-05" @default.
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• W3115295801 date "2020-11-27" @default.
• W3115295801 modified "2023-09-27" @default.
• W3115295801 title "Wheelchair Navigation System using EEG Signal and 2D Map for Disabled and Elderly People" @default.
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• W3115295801 doi "https://doi.org/10.1109/gtsd50082.2020.9303149" @default.
• W3115295801 hasPublicationYear "2020" @default.
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