Linear Discriminant Analysis for Sit or Stand Intention Recognition using Electroencephalogram Signals
- Linear Discriminant Analysis for Sit or Stand Intention Recognition using Electroencephalogram Signals
- 정상훈; 이종민; 김경재; 황요하; 김승종; 안진웅
- Electroencephalogram (EEG); Linear discriminant analysis (LDA); Cross correlation (CC); Majority voting scheme; Sit and stand intention
- Issue Date
- 한국정밀공학회 춘계학술대회
- 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.
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- KIST Publication > Conference Paper
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