Elderly fall detection based on wireless perception in private area
Xinyi Kou, Bingyi Wu · 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) · 2021
With the aggravation of the aging problem, the research on the real-time monitoring technology of the elderly is of great significance. Among them, falling is the main reason threatening the health and life of the elderly. Aiming at the shortcomings of traditional fall detection technology for the elderly, this paper proposes a fall detection technology for the elderly based on wireless signal, which uses neural network for feature extraction and classification. Complete efficient and accurate detection on the premise of protecting privacy. The experimental results show that the detection rate is as high as 95%, which has a good application prospect.