Paper Info
Title
A Practical Biosignal-Based Human Interface Applicable to the Assistive Systems for People with Motor Impairment
Abstract
An alternative human interface enabling the handicapped with severe motor disabilities to control an assistive system is presented. Since this interface relies on the biosignals originating from the contraction of muscles on the face during particular movements, even individuals with a paralyzed limb can use it with ease. For real-world application, a dedicated hardware module employing a general-purpose DSP was implemented and its validity tested on an electrically powered wheelchair. Furthermore, an additional attempt to reduce error rates to a minimum for stable operation was also made based on the entropy information inherent in the signals during the classification phase. In the experiments in which 11 subjects participated, it was found most of them could control the target system at their own will, and thus the proposed interface could be considered a potential alternative for the interaction of the severely handicapped with electronic systems.
Year
DOI
Venue
2006
10.1093/ietisy/e89-d.10.2644
IEICE Transactions
Keywords
Field
DocType
alternative human interface,motor impairment,electronic system,practical biosignal-based human interface,potential alternative,dedicated hardware module,target system,proposed interface,assistive system,classification phase,assistive systems,entropy information,additional attempt,human computer interface,eeg,human interface
Digital signal processing,Computer science,Human–computer interaction,Artificial intelligence,Control system,Biosignal,Wheelchair,Computer vision,Simulation,Motor control,User interface,Machine control,Human interface device
Journal
Volume
Issue
ISSN
E89-D
10
0916-8532
Citations 
PageRank 
References 
3
0.37
0
Authors
5
Name
Order
Citations
PageRank
Ki-Hong Kim16114.23
Jae-Kwon Yoo230.70
Hong Kee Kim331.38
Wookho Son4469.76
Soo-Young Lee51137163.87