Human activity recognition in cognitive environments using sequential ELM

@article{Kumar2016HumanAR,
  title={Human activity recognition in cognitive environments using sequential ELM},
  author={R. Chandan Kumar and Skanda S. Bharadwaj and B. N. Sumukha and Koshy George},
  journal={2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)},
  year={2016},
  pages={1-6}
}
Human activity recognition (HAR) and Extreme Learning Machines (ELM) are emerging fields of research. HAR investigates the behavioural attributes of humans and integrates that to an electronic system. An ELM is a fast learning algorithm, and overcomes the fundamental issue of slow training-error convergence that other algorithms such as the back propagation algorithm suffer. In this paper, we present the blend of the two fields by classifying the behavioural attributes of humans using… CONTINUE READING

References

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

Cluitmans,“Advancing from offline to online activity recognition with wearable sensors,

  • M. Ermes, J. Parkka
  • Proceedings of the Annual International…
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…