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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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| Опубликовано в: : | Proc SIGCHI Conf Hum Factor Comput Syst |
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| Главные авторы: | , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | 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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