Fall motion detection using combined range and Doppler features

Fall motion detection using combined range and Doppler features. Erol, B. & Amin, M. G. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 2075-2080, Aug, 2016.

Paper doi abstract bibtex

Feature selection based on combined Doppler and range information improves fall detection and enables better discrimination against similar high Doppler non-rhythmic motions, such as sitting. A fall is typically characterized by an extension in range beyond that associated with sitting, which is determined by the seat horizontal depth. In this paper, we demonstrate, using time-frequency (TF) spectrograms, that range-Doppler radar plays a fundamental and important role in motion classification for assisted living applications. It reduces false alarms along with the associated cost in the unnecessary deployment of the first responders. This reduction is considered vital for the development of in-home radar monitoring and for casting it as a viable technology for aging-in-place.

@InProceedings{7760614,
  author = {B. Erol and M. G. Amin},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Fall motion detection using combined range and Doppler features},
  year = {2016},
  pages = {2075-2080},
  abstract = {Feature selection based on combined Doppler and range information improves fall detection and enables better discrimination against similar high Doppler non-rhythmic motions, such as sitting. A fall is typically characterized by an extension in range beyond that associated with sitting, which is determined by the seat horizontal depth. In this paper, we demonstrate, using time-frequency (TF) spectrograms, that range-Doppler radar plays a fundamental and important role in motion classification for assisted living applications. It reduces false alarms along with the associated cost in the unnecessary deployment of the first responders. This reduction is considered vital for the development of in-home radar monitoring and for casting it as a viable technology for aging-in-place.},
  keywords = {assisted living;Doppler radar;feature extraction;geriatrics;motion compensation;time-frequency analysis;fall motion detection;Doppler features;feature selection;Doppler nonrhythmic motions;seat horizontal depth;time-frequency spectrograms;range-Doppler radar;motion classification;assisted living applications;in-home radar monitoring;aging-in-place;Doppler effect;Doppler radar;Feature extraction;Time-frequency analysis;Radar detection;Radar cross-sections},
  doi = {10.1109/EUSIPCO.2016.7760614},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252332.pdf},
}

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