Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring

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Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities (2018, background): “Radar-based human gait recognition has been of great interest due to its relevancy to problems of border control and security [1], [2], pedestrian recognition for automotive safety [3], and fall detection for assisted living [4].”
Radar-Based Human-Motion Recognition With Deep Learning: Promising applications for indoor monitoring (2019, background): “The detection of falls is also an important application [7] as falling remains a leading cause of mortality and major injuries among the elderly.”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, background): “Potential applications of such techniques go far beyond the conventional indoor localization scenarios, which include health-care for elderly people, contextual awareness, anti-terrorism actions and Internet-of-Things (IoT) for smart homes [28], [30], [31].”