Imaginary finger control detection algorithm using deep learning with Brain Computer Interface (BCI)
Before the advancement of deep learning technology, the brain signals are to be analysed manually by the neuroscientists on how the brain signals reacts in proportion with the human body. This process is very time consuming and unreliable. Therefore, this project aims to develop a brain signal detec...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
ALife Robotics Corporation Ltd
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/43255/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125142855&partnerID=40&md5=4f12cb60a4958a184e111571ea422536 |
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