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Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning
Digital markers of behavior can be continuously created, in everyday settings, using time series data collected by ambient sensors. The goal of this work was to perform individual- and population-level behavior analysis from such time series sensor data. In this paper, we introduce a novel algorithm...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570972/ https://www.ncbi.nlm.nih.gov/pubmed/32932643 http://dx.doi.org/10.3390/s20185207 |