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Predicting Daily Activities From Egocentric Images Using Deep Learning
We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict everyday activities of an individual. We collected a dataset of 40,103 egocentric images over a 6 month period with 19 activ...
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| Udgivet i: | Proc Int Symp Wearable Comput |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2015
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5851485/ https://ncbi.nlm.nih.gov/pubmed/29553145 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2802083.2808398 |
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