DocumentCode
1838205
Title
Head movements based control of an intelligent wheelchair in an indoor environment
Author
Rechy-Ramirez, Ericka Janet ; Huosheng Hu ; McDonald-Maier, K.
Author_Institution
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear
2012
fDate
11-14 Dec. 2012
Firstpage
1464
Lastpage
1469
Abstract
This paper presents a user-friendly human machine interface (HMI) for hands-free control of an electric powered wheelchair (EPW). Its two operation modes are based on head movements: Mode 1 uses only one head movement to give the commands, and Mode 2 employs four head movements. An EEG device, namely Emotiv EPOC, has been deployed in this HMI to obtain the head movement information of users. The proposed HMI is compared with the joystick control of an EPW in an indoor environment. The experimental results show that Control Mode 2 can be implemented at a fast speed reliably, achieving a mean time of 67.90 seconds for the two subjects. However, Control Mode 1 has inferior performance, achieving a mean time of 153.20 seconds for the two subjects although it needs only one head movement. It is clear that the proposed HMI can be effectively used to replace the traditional joystick control for disabled and elderly people.
Keywords
electric vehicles; electroencephalography; handicapped aids; image motion analysis; indoor environment; interactive devices; machine control; man-machine systems; wheelchairs; EEG device; EPW; Emotiv EPOC; HMI; control modes; disabled people; elderly people; electric powered wheelchair; hands-free control; head movement based control; indoor environment; intelligent wheelchair; joystick control; user-friendly human machine interface; Emotiv; electric powered wheelchair; hands-free control; head movement detection; human machine interface;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-2125-9
Type
conf
DOI
10.1109/ROBIO.2012.6491175
Filename
6491175
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