DocumentCode :
2859913
Title :
A speller system for locked-in patient to communicate with friends
Author :
Rui Zhang ; Yanping Yang ; Junbo Wang ; Teng Ma ; Xulin Lv ; Peng Xu
Author_Institution :
Key Lab. for NeuroInformation, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
1203
Lastpage :
1206
Abstract :
Locked-in syndrome (LIS) patient cannot communicate verbally due to complete paralysis of nearly all voluntary muscles in the body. Most of them could move their eyes, of which part of them could move their head. It is very important to establish communication channels for LIS patient. In the current study, we developed a speller system based on detecting the nodding movement. The system is easy to implement because it only requires a laptop which contains digital camera. Results on healthy subjects group showed the proposed speller system could be controlled successfully even without prior training. Then we evaluated its performance on a LIS patient, and 20 correct characters were spelled out within 591 seconds. In conclusion, the proposed speller is suitable for those LIS patient with head movement ability, it could help them to communicate with friends.
Keywords :
biomedical optical imaging; cameras; gait analysis; gesture recognition; handicapped aids; laptop computers; medical image processing; muscle; LIS patient; communication channels; digital camera; eyes; head movement ability; laptop; locked-in syndrome patient; nodding movement detection; paralysis; speller system; time 591 s; voluntary muscles; Accuracy; Brain-computer interfaces; Complexity theory; Face; Portable computers; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129448
Filename :
7129448
Link To Document :
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