EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach
Surface electromyography (EMG) serves as a pivotal tool in hand gesture recognition and
human-computer interaction, offering a non-invasive means of signal acquisition. This study …
human-computer interaction, offering a non-invasive means of signal acquisition. This study …
A two-stage feature redundancy minimization methodology framework for motor imagery EEG classification
H Li, Z Lu, Y Mo, B Feng, T Yu - Multimedia Tools and Applications, 2025 - Springer
The temporal-frequency-spatial features of motor imagery electroencephalogram (EEG)
signals provide comprehensive information for classification. However, these features also …
signals provide comprehensive information for classification. However, these features also …
BCI-Pacman: A Novel Brain-Computer Interface Driven Entertainment Game with Four Directional Classes for Pacman Movement
F CHOUAG - 2024 - researchsquare.com
This research presents BCI-Pacman, an innovative entertainment game that incorporates a
non-invasive Brain-Computer Interface (BCI) to enable the users to control Pacman's …
non-invasive Brain-Computer Interface (BCI) to enable the users to control Pacman's …