New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition †

For the effective application of thriving human-assistive technologies in healthcare services and human–robot collaborative tasks, computing devices must be aware of human movements. Developing a reliable real-time activity recognition method for the continuous and smooth operation of such smart dev...

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Detalles Bibliográficos
Autores principales: Alemayoh, Tsige Tadesse, Lee, Jae Hoon, Okamoto, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073736/
https://www.ncbi.nlm.nih.gov/pubmed/33923706
http://dx.doi.org/10.3390/s21082814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073736/
https://www.ncbi.nlm.nih.gov/pubmed/33923706
http://dx.doi.org/10.3390/s21082814

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