Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data

Physical activity patterns can reveal information about one’s health status. Built-in sensors in a smartphone, in comparison to a patient’s self-report, can collect activity recognition data more objectively, unobtrusively, and continuously. A variety of data analysis approaches have been proposed i...

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Detalles Bibliográficos
Autores principales: Huang, Emily J., Yan, Kebin, Onnela, Jukka-Pekka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002497/
https://www.ncbi.nlm.nih.gov/pubmed/35408232
http://dx.doi.org/10.3390/s22072618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002497/
https://www.ncbi.nlm.nih.gov/pubmed/35408232
http://dx.doi.org/10.3390/s22072618

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