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Multi-modality — EMG and Visual Based Hands-Free Control of an Intelligent Wheelchair

Wei, Lai and Hu, Huosheng (2010) Multi-modality — EMG and Visual Based Hands-Free Control of an Intelligent Wheelchair. In: UNSPECIFIED, ? - ?.

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This paper presents a novel human machine interface for people with severe disabilities to control an electric powered wheelchair using face movements. Five face movements including jaw clenching and eye closing movements are identified by extracting movement features from both forehead Electromyography (EMG) signal and facial image information. A real-world indoor environment is setup for evaluating the performance of the new control method. Five subjects participated in the experiment to follow designated routes on a map using the new control method, as well as a traditional joystick control respectively. Comparison of two control methods are made in terms of easiness of control, time duration, wheelchair trajectory and error command rate etc. Wheelchair trajectory and time consumption are recorded for each task and results show the new control method are comparable to a joystick control and can be used as a hands-free control interface for disabled and elderly users. © 2010 Springer-Verlag.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Uncontrolled Keywords: Intelligent wheelchairs; eye detection; multi-modality; hands-free control; EMG; HMI; HCI
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 15 Jul 2015 18:22
Last Modified: 23 Sep 2022 18:44

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