Feature Fusion of a Deep-Learning Algorithm into Wearable Sensor Devices for Human Activity Recognition

This paper presents a wearable device, fitted on the waist of a participant that recognizes six activities of daily living (walking, walking upstairs, walking downstairs, sitting, standing, and laying) through a deep-learning algorithm, human activity recognition (HAR). The wearable device comprises...

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Detalles Bibliográficos
Autores principales: Yen, Chih-Ta, Liao, Jia-Xian, Huang, Yi-Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706653/
https://www.ncbi.nlm.nih.gov/pubmed/34960388
http://dx.doi.org/10.3390/s21248294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706653/
https://www.ncbi.nlm.nih.gov/pubmed/34960388
http://dx.doi.org/10.3390/s21248294

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