SEMG-Based Human In-Hand Motion Recognition Using Nonlinear Time Series Analysis and Random Forest
As a novel and non-invasive sensing technology, surface electromyography (SEMG) can record the bioelectrical signals on the skin surface quickly and effectively, and thus has been widely used in human motion assessment in fields like medical rehabilitation and human-computer interaction. In this pap...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8922692/ |