Activity Recognition via Channel Response: From Theoretical Analysis to Real-World Experiments

Human activity recognition based on wireless signals emerges as a research hotspot recently. Though tremendous efforts have been devoted and significant progresses have been achieved, one fundamental issue still remains open, i.e., theoretical modeling between signal dynamics and human activities. This paper fills in the blank by addressing several theoretical issues and providing insightful mathematical analysis including a signal-activity model. To validate such analysis, a prototype system has been built, where a series of real-world experiments has been conducted. Empirical results have justified our theoretical findings. Moreover, important hands-on experiences on the system implementation and parameter settings have been offered.