In a future society where the number of IoT devices is enormous, the burden of charging and battery replacement will be a major issue. This research aims to establish a situation recognition technology based on wireless sensing that directly captures the impact of human and object movements on radio waves. Specifically, we will develop tags that do not require battery replacement despite affecting radio waves, distinguish radio wave fluctuations caused by multiple humans and objects, and construct a new sensing platform that converts movements into changes in radio waves.
