Toward Predicting Human Performance Outcomes From Wearable Technologies: A Computational Modeling Approach

Wearable technologies for measuring digital and chemical physiology are pervading the consumer market and hold potential to reliably classify states of relevance to human performance including stress, sleep deprivation, and physical exertion. The ability to efficiently and accurately classify physio...

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Detalles Bibliográficos
Autores principales: Brunyé, Tad T., Yau, Kenny, Okano, Kana, Elliott, Grace, Olenich, Sara, Giles, Grace E., Navarro, Ester, Elkin-Frankston, Seth, Young, Alexander L., Miller, Eric L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458818/
https://www.ncbi.nlm.nih.gov/pubmed/34566701
http://dx.doi.org/10.3389/fphys.2021.738973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458818/
https://www.ncbi.nlm.nih.gov/pubmed/34566701
http://dx.doi.org/10.3389/fphys.2021.738973

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