Challenges and Trends of Machine Learning in the Myoelectric Control System for Upper Limb Exoskeletons and Exosuits
Myoelectric control systems as the emerging control strategies for upper limb wearable robots have shown their efficacy and applicability to effectively provide motion assistance and/or restore motor functions in people with impairment or disabilities, as well as augment physical performance in able...
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2023
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/87277 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Challenges and Trends of Machine Learning in the Myoelectric Control System for Upper Limb Exoskeletons and Exosuits
- Myoelectric Control for Upper-Limb Exoskeletons: A Decoder-Shaper-Controller Framework, Design Guidelines, and Future Directions
- EXPRO: exoskeleton for rehabilitation of upper limb
- Towards the reduction of the effects of muscle fatigue on myoelectric control of upper limb prostheses
- Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses
- Reducing the effects of muscle fatigue on upper limb myoelectric control using adaptive LDA
- A Test Bench For Evaluating Exoskeletons For Upper Limb Rehabilitation