Key result
A 24-GHz radar sensor and CNN achieve ~96% accuracy detecting falls, walking, and vacant states.
Comparison
Fall detection system using 24-GHz radar sensor vs vacant and walking classes
Authors
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May support non-contact fall monitoring development; leaves open prospective validation before clinical adoption.
A 24-GHz radar sensor combined with a CNN algorithm on an Arduino Nano 33 BLE Sense can detect falls with 96.30% testing accuracy.
Amran et al. (2022) studied Fall detection for elderly. 24-GHz radar sensor with Convolutional Neural Network (CNN) was evaluated on Accuracy rate of the testing phase. A 24-GHz radar sensor combined with a Convolutional Neural Network algorithm achieved a testing accuracy of 96.30% for detecting falls, walking, and vacant states.
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