Abstract | ||
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Single-sensor Doppler radar faces many challenges in elderly fall detection. The similarities of the Doppler signatures between falls and other motions of fast time transitions render CW-based EM sensing insufficient for proper motion discriminator. Further, motion articulations in the directions of a small or zero projections along the line-of-sight generate noisy Doppler signatures and greatly contribute to the confusion matrix. In this paper, the benefit from the range information is used to distinguish between fall and non-fall motions with similar Doppler features. We also examine the effects of the aspect angle on fall detection. Simulation results using Kinect-based radar simulator and 24 GHz UWB radar sensing system, demonstrate the merits of the proposed platform for indoor motion monitoring serving assisted living applications. |
Year | Venue | Field |
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2016 | SAM | Pulse-Doppler radar,Continuous-wave radar,Radar engineering details,Radar,Doppler radar,Radar imaging,Computer science,Remote sensing,Bistatic radar,3D radar |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Baris Erol | 1 | 0 | 0.34 |
Moeness Amin | 2 | 2909 | 287.79 |