Robust finger motion classification using frequency characteristics of surface electromyogram signals
Link to publisher's homepage at http://ieeexplore.ieee.org/
Saved in:
Main Authors: | Ishikawa, Keisuke, Akita, Junichi, Toda, Masashi, Kondo, Kazuaki, Sakurazawa, Shigeru, Nakamura, Yuichi |
---|---|
Other Authors: | g2110005@fun.ac.jp |
Format: | Working Paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/21421 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A classification of EMG signal from masseter and buccinators, muscles to control the directional movement of power-assisted wheelchair
by: Hayder Abdulazeez Yousif, Al-Yasari
Published: (2016) -
Design and development biceps tendonitis physiotherapy monitoring system
by: T. S., Poo, et al.
Published: (2012) -
EMG motion pattern classification through design and optimization of Neural Network
by: Md. Rezwanul, Ahsan, et al.
Published: (2012) -
Design and development of low cost biceps tendonitis physiotherapy monitoring system using surface EMG electrodes for automated rehabilitation
by: Poo, Tarn Shi
Published: (2019) -
Physiological signal based detection of driver hypovigilance using higher order spectra
by: Arun, Sahayadhas
Published: (2016)