Predicting Daily Activities From Egocentric Images Using Deep Learning

@article{Castro2015PredictingDA,
  title={Predicting Daily Activities From Egocentric Images Using Deep Learning},
  author={Daniel Castro and Steven Hickson and Vinay Bettadapura and Edison Thomaz and Gregory D. Abowd and Henrik I. Christensen and Irfan A. Essa},
  journal={Proceedings. International Symposium on Wearable Computers},
  year={2015},
  volume={2015},
  pages={75-82}
}
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 activity classes and demonstrate the benefit of state-of-the-art deep learning techniques for learning and predicting daily activities. Classification is conducted using a Convolutional Neural Network… CONTINUE READING
Highly Cited
This paper has 54 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 4 times over the past 90 days. VIEW TWEETS

From This Paper

Topics from this paper.
37 Citations
2 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

54 Citations

01020302015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 54 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…