• DOI:10.1145/2802083.2808398
Corpus ID: 1161823

Predicting daily activities from egocentric images using deep learning

@article{Castro2015PredictingDA,
  title={Predicting daily activities from egocentric images using deep learning},
  author={D. Castro and Steven Hickson and Vinay Bettadapura and E. Thomaz and Gregory D. Abowd and H. Christensen and Irfan Essa},
  journal={Proceedings of the 2015 ACM International Symposium on Wearable Computers},
  year={2015}
}

D. Castro, Steven Hickson, +4 authors Irfan Essa

Published 2015

Computer Science, Medicine

Proceedings of the 2015 ACM International Symposium on Wearable Computers

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. [...] Key Method Classification is conducted using a Convolutional Neural Network (CNN) with a classification method we introduce called a late fusion ensemble. This late fusion ensemble incorporates relevant contextual information and increases our classification accuracy. Our technique achieves an…Expand Abstract

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