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...
Saved in:
Main Author: | Chen, Yongming |
---|---|
Other Authors: | Lin Zhiping |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154403 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine learning for anomaly detection on intelligent transportation time series data
by: Lin, Yuxuan
Published: (2022) -
Machine learning for time series analysis
by: Wang, Ruyue
Published: (2023) -
Real-time implementation of quaternion-based human footstep detection
by: Shen, Huizhi.
Published: (2013) -
Human motion capture data compression
by: Wang, Dian
Published: (2015) -
Impacts of noise on machine learning
by: Qiao, Kaimu
Published: (2011)