Frequency Modulated Continuous Wave Radar-Based Human Sitting Posture Detection In Bathroom Environment

In the bathroom environment, the sitting posture usually changes due to the occurrence of accidents, and by detecting the change of sitting posture, we can respond to the occurrence of accidents in time. However, the current sitting detection technology is not suitable for use in private places such as the bathroom environment. To facilitate the detection of sitting posture in the bathroom environment without violating privacy, this paper proposes a method for detecting human sitting posture in the bathroom environment using Frequency Modulated Continuous Wave (FMCW) radar. By using FMCW radar to obtain time-range and range-velocity feature information on human sitting posture in the bathroom environment, we combine a dual-channel convolutional neural network to detect sitting posture in the bathroom environment and verify the feasibility of the proposed method with experiments. The research results show that the FMCW radar bathroom sitting detection method can finally achieve 98.75% detection accuracy, which can effectively carry out the bathroom environment sitting detection.