Finding Significant Stress Episodes in a Discontinuous Time Series of Rapidly Varying Mobile Sensor Data

Management of daily stress can be greatly improved by delivering sensor-triggered just-in-time interventions (JITIs) on mobile devices. The success of such JITIs critically depends on being able to mine the time series of noisy sensor data to find the most opportune moments. In this paper, we propos...

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Detalhes bibliográficos
Publicado no:Proc SIGCHI Conf Hum Factor Comput Syst
Main Authors: Sarker, Hillol, Tyburski, Matthew, Rahman, Md. Mahbubur, Hovsepian, Karen, Sharmin, Moushumi, Epstein, David H., Preston, Kenzie L., Furr-Holden, C. Debra, Milam, Adam, Nahum-Shani, Inbal, al’Absi, Mustafa, Kumar, Santosh
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5207658/
https://ncbi.nlm.nih.gov/pubmed/28058409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2858036.2858218
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