From smart to deep: Robust activity recognition on smartwatches using deep learning

@article{Bhattacharya2016FromST,
  title={From smart to deep: Robust activity recognition on smartwatches using deep learning},
  author={Sourav Bhattacharya and Nicholas D. Lane},
  journal={2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)},
  year={2016},
  pages={1-6}
}
The use of deep learning for the activity recognition performed by wearables, such as smartwatches, is an understudied problem. To advance current understanding in this area, we perform a smartwatch-centric investigation of activity recognition under one of the most popular deep learning methods - Restricted Boltzmann Machines (RBM). This study includes a variety of typical behavior and context recognition tasks related to smartwatches (such as transportation mode, physical activities and… CONTINUE READING
Highly Cited
This paper has 38 citations. REVIEW CITATIONS
25 Citations
22 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Deep Learning: Methods And Applications

  • L. Deng, D. Yu
  • Now Publishers,
  • 2014
1 Excerpt

Similar Papers

Loading similar papers…