Key result
Continuous wave bioradar (BioRASCAN-4) demonstrated a sufficient level of accuracy for contactless fall detection based on the length of event and variation of signal amplitude.
Continuous wave bioradar with a threshold classifier can detect falls with sufficient accuracy.
Supports contactless fall detection technology; hypothesis-generating and requires prospective clinical validation.
Falls are one of the major risks for seniors living alone at home. This paper presents the results of studies carried out to confirm the possibility of using bioradar for the fall detection. 213 records of various basic movements were recorded by continuous wave radar: BioRASCAN-4 with probing frequencies in range 3.6 to 4.0 GHz. Obtained data was used for the development threshold classifier with the following parameters - length of event and variation of signal amplitude. The results of data analysis by suggested algorithm demonstrated a sufficient level of accuracy.
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Dremina et al. (2016) studied Falls. Continuous wave bioradar (BioRASCAN-4) was evaluated on Fall detection accuracy. Continuous wave bioradar (BioRASCAN-4) demonstrated a sufficient level of accuracy for contactless fall detection based on the length of event and variation of signal amplitude.
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