Effect of forearm rotation towards cross-user classification accuracy of forearm gestures / Zinvi Fu … [et al.]

Fu, Zinvi and Bani Hashim, Ahmad Yusairi and Jamaludin, Zamberi and Mohamad, Imran Syakir (2020) Effect of forearm rotation towards cross-user classification accuracy of forearm gestures / Zinvi Fu … [et al.]. Borneo Akademika, 4 (4): 6. pp. 42-58. ISSN 2462-1641


Electromyography (EMG) is a random biological signal that depends on the
electrode placement and the physiology of the individual. Currently, EMG control
is practically limited by this individualistic nature and requires per session training.
This study investigates the EMG signals based on six locations on the lower forearm
during contraction. Gesture classification was performed en-bloc across 20 subjects
without retraining with the objective of determining the most classifiable gestures
based on the similarity of their resultant EMG signals. Principle component
analysis (PCA) and linear discriminant analysis (LDA) were the principal tools for
analysis. The results showed that many gesture pairs could be accurately classified
per channel with accuracies of over 85%. However, classification rates dropped to
unreliable levels when up to nine gestures were classified over the single channels.
The classification results show universal classification based on a common EMG
database is possible without retraining for limited gestures.


Item Type: Article
Email / ID Num.
Fu, Zinvi
Bani Hashim, Ahmad Yusairi
Jamaludin, Zamberi
Mohamad, Imran Syakir
Subjects: Q Science > Q Science (General) > Group work in research
Q Science > QP Physiology > Musculoskeletal system. Movements
Q Science > QP Physiology > Electromyography
Divisions: Universiti Teknologi MARA, Sabah > Kota Kinabalu Campus
Journal or Publication Title: Borneo Akademika
ISSN: 2462-1641
Volume: 4
Number: 4
Page Range: pp. 42-58
Keywords: Electromyography; User-independent; Rotation-independent; Hand exchange independent; Classification; Principal component analysis: Linear discriminant analysis
Date: October 2020
URI: https://ir.uitm.edu.my/id/eprint/50270
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