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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Bibliographic Details
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
Format: Article
Language:English
Published: Sciendo 2024-06-01
Series:Journal of Electrical Bioimpedance
Subjects:
Online Access:https://doi.org/10.2478/joeb-2024-0007
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