Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks

Wearable exoskeleton robots have become a promising technology for supporting human motions in multiple tasks. Activity recognition in real-time provides useful information to enhance the robot’s control assistance for daily tasks. This work implements a real-time activity recognition system based o...

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Detalles Bibliográficos
Autores principales: Jaramillo, Ismael Espinoza, Jeong, Jin Gyun, Lopez, Patricio Rivera, Lee, Choong-Ho, Kang, Do-Yeon, Ha, Tae-Jun, Oh, Ji-Heon, Jung, Hwanseok, Lee, Jin Hyuk, Lee, Won Hee, Kim, Tae-Seong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783602/
https://www.ncbi.nlm.nih.gov/pubmed/36560059
http://dx.doi.org/10.3390/s22249690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783602/
https://www.ncbi.nlm.nih.gov/pubmed/36560059
http://dx.doi.org/10.3390/s22249690

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