Radar-based Human Activity Recognition (Rad-HAR) Dataset
-
- The Rad-HAR dataset is for non-commercial research use only. To request access to the Rad-HAR dataset, please send an email with your name and your affiliation to aspl.request@gmail.com . We will send you a link to access the dataset via email.
Publications Related to the Dataset
-
- A. Ahmed and Y. D. Zhang, “Radar-based Dataset Development for Human Activity Recognition,” in Proceedings of 2020 IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2020.
This paper provides a detailed description of the signal model, radar device, and experiment settings used to collect the Rad-HAR dataset. - M. Wang, Y. D. Zhang, and G. Cui, “Human Motion Recognition Exploiting Radar with Stacked Recurrent Neural Network,” Digital Signal Processing, vol. 87, pp. 125-131, April 2019.
This paper provides an example of human activity recognition developed using the Rad-HAR dataset using stacked recurrent neural network.
- A. Ahmed and Y. D. Zhang, “Radar-based Dataset Development for Human Activity Recognition,” in Proceedings of 2020 IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2020.
Other Related Publications
-
- M. G. Amin, Y. D. Zhang, F. Ahmad, and K. C. Ho, “Radar Signal Processing for Elderly Fall Detection,” IEEE Signal Processing Magazine, special issue on Signal Processing for Assisted Living, vol. 33, no. 2, pp. 71-80, March 2016.
- Q. Wu, Y. D. Zhang, W. Tao, and M. G. Amin, “Radar-based Fall Detection Based on Doppler Time-Frequency Signatures for Assisted Living,” IET Radar, Sonar & Navigation, special issue on Application of Radar to Remote Patient Monitoring and Eldercare, vol. 9, no. 2, pp. 164-172, Feb. 2015.
- B. Jokanovic, M. G. Amin, Y. D. Zhang, and F. Ahmad, “Multi-Window Time-Frequency Signature Reconstruction from Undersampled Continuous Wave Radar Measurements for Fall Detection,” IET Radar, Sonar & Navigation, special issue on Application of Radar to Remote Patient Monitoring and Eldercare, vol. 9, no. 2, pp. 173-183, Feb. 2015.
- Y. D. Zhang and K. C. D. Ho, “Continuous Wave Doppler Radar for Fall Detection,” in M. G. Amin (ed.), Radar for Indoor Monitoring: Detection, Localization, and Assessment, CRC Press, 2017.