Human Sensing and Activity Recognition

Other than localization, our human sensing solutions have been used for identity recognition (needed for delivering user specific services), fall detection and people counting (needed in emergency evacuation).

Researchers:

  • Nathaniel Faulkner (PhD researcher)
  • Joshua Xu (Postgrad researcher)
  • Dr Daniel Konings
  • Dr Frazer Noble
  • A/P Fakhrul Alam (Research lead)

Relevant Publications:

  1. F. Noble, M. Xu, and F. Alam, “Static Hand Gesture Recognition Using Capacitive Sensing and Machine Learning”, March 2023, Sensors
  2. D. Konings, F. Alam, N. Faulkner, and C. de Jong, “Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks”, September 2022, Sensors.
  3. D. Konings, R. Grace, and F. Alam, " A Stacked Neural Network-based Machine Learning Framework to Detect Activities and Falls within Multiple Indoor Environments using Wi-Fi CSI," IEEE Sensors Letters, vol. 5, no. 5, pp. 1- 4, April 2021.
  4. D. Konings and F. Alam " LifeCount: A Device-free CSI-based Human Counting Solution for Emergency Building Evacuations," Proceedings - 2020 IEEE Sensors Applications Symposium (SAS2020), 2020.