DocumentCode :
3451156
Title :
Multimodal approach for stroke recognition using body-mounted sensors
Author :
Choi, Sung-Do ; Lee, Soo-Young
Author_Institution :
Dept. of Bio & Brain Eng., KAIST, Daejeon, South Korea
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
219
Lastpage :
220
Abstract :
This paper presents multimodal stroke recognition algorithms using a magnetometer-aided inertial measurement unit (mIMU). At first, we devise a magnetometer-aided (mag-aided) algorithm based on two kinematic constraints. In addition, we propose hybrid algorithms composed of the mag-aided algorithm and the conventional gyro-aided algorithm. The hybrid algorithm outperforms respective algorithm (gyro-aided/mag-aided). Experimental results demonstrate high accuracy in stroke recognition rates.
Keywords :
biomedical engineering; brain-computer interfaces; magnetometers; measurement systems; sensors; wearable computers; body-mounted sensor; gyro-aided algorithm; kinematic constraints; mIMU; mag-aided algorithm; magnetometer-aided algorithm; magnetometer-aided inertial measurement unit; multimodal stroke recognition algorithm; Accelerometers; Algorithm design and analysis; Classification algorithms; Estimation; Gravity; Heuristic algorithms; Kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6161837
Filename :
6161837
Link To Document :
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