Machine learning and real-time prediction of human motion for intelligent human-machine interfaces

Machine learning and real-time prediction of human motion for intelligent human-machine interfaces

With the rapid development of human-computer interaction, researchers are extending beyond physical-motion means by detecting as early as possible neurophysiological signatures of motion intentions to detect human movement and predict human movement intention. The use of electromyogram (EMG) for hum...

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Bibliographic Details
Main Author: Chen, Yongming
Other Authors: Lin Zhiping
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/154403

Internet

https://hdl.handle.net/10356/154403

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