Machine learning-enhanced gesture recognition through impedance signal analysis
Gesture recognition is a crucial aspect in the advancement of virtual reality, healthcare, and human-computer interaction, and requires innovative methodologies to meet the increasing demands for precision. This paper presents a novel approach that combines Impedance Signal Spectrum Analysis (ISSA)...
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Main Authors: | Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2024-06-01
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Series: | Journal of Electrical Bioimpedance |
Subjects: | |
Online Access: | https://doi.org/10.2478/joeb-2024-0007 |
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