Principal component analysis of photoplethysmography signals for improved gesture recognition

In recent years, researchers have begun to introduce photoplethysmography (PPG) signal into the field of gesture recognition to achieve human-computer interaction on wearable device. Unlike the signals used for traditional neural interface such as electromyography (EMG) and electroencephalograph (EE...

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Detalles Bibliográficos
Autores principales: Ruan, Yuwen, Chen, Xiang, Zhang, Xu, Chen, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669422/
https://www.ncbi.nlm.nih.gov/pubmed/36408405
http://dx.doi.org/10.3389/fnins.2022.1047070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669422/
https://www.ncbi.nlm.nih.gov/pubmed/36408405
http://dx.doi.org/10.3389/fnins.2022.1047070

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