Fall Detection Based on Sequential Modeling of Radar Signal Time-Frequency Features

@article{Wu2013FallDB,
  title={Fall Detection Based on Sequential Modeling of Radar Signal Time-Frequency Features},
  author={Meng Wu and Xiaoxiao Dai and Yimin Zhang and Bradley Davidson and Moeness G. Amin and Jun Zhang},
  journal={2013 IEEE International Conference on Healthcare Informatics},
  year={2013},
  pages={169-174}
}
Falls are one of the greatest threats to elderly health as they carry out their daily living routines and activities. Therefore, it is very important to detect falls of an elderly in a timely and accurate manner, so that immediate response and proper care can be rendered. Radar is an effective non-intrusive sensing modality which is well suited for this purpose. It can detect human motions in all types of environments, penetrate walls and fabrics, preserve privacy, and is insensitive to… CONTINUE READING
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