Abstract: Human presence detection technology based on Channel State Information (CSI) is a typical application of next-generation communication technology, with broad application prospects. In real-world environments, there are often various Wi-Fi interferences, and differences in device hardware performance and environment can lead to variations in CSI data, thereby affecting the stability and reliability of CSI-based unmanned detection. Firstly, this paper analyzes various interference factors present in real-world environments and improves the stability of unmanned detection through adaptive threshold detection and subcarrier selection methods. Secondly, an electromagnetic environment evaluation method is designed to ensure the reliability of the system. Finally, the actual detection effect of the system is verified based on the ESP32 chip. This system has certain engineering practical significance in the field of home appliance intelligent perception.

Key words: Channel state information, Human detection, Wi-Fi interferences, Adaptive threshold