Linear Discriminant Analysis for Sit or Stand Intention Recognition using Electroencephalogram Signals

Title
Linear Discriminant Analysis for Sit or Stand Intention Recognition using Electroencephalogram Signals
Authors
정상훈이종민김경재황요하김승종안진웅
Keywords
Electroencephalogram (EEG); Linear discriminant analysis (LDA); Cross correlation (CC); Majority voting scheme; Sit and stand intention
Issue Date
2014-05
Publisher
한국정밀공학회 춘계학술대회
Abstract
The proposed method is successful at classifying the movement intention for three out of five tested subjects. The modified Euclidean LDA with threshold yield a more stable (less false positives) classification result than regular Euclidean LDA. Furthermore, the use of majority voting gets rid of the erratic behavior of LDA. Our proposed classification scheme shows promise to be used for rehabilitation robotic control. Pairing our method with a simple logical algorithm to distinguish between the need to sit or stand could results in a robust control scheme for lower limb exoskeleton movement.
URI
http://pubs.kist.re.kr/handle/201004/47638
ISSN
20058446
Appears in Collections:
KIST Publication > Conference Paper
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