Abstract
Human activity recognition (HAR) using wearable sensors is becoming widely used in a large range of applications. Magnetic induction-based human activity recognition system (MI-HAR) is a new wearable-based HAR system that captures human motions by variations in the magnetic induction (MI) signals received from transmitter coils placed around the human body. In this work, we focused on the performance analysis of the MI-HAR system using experimental measurements. The main aim of this study is to show the sensitivity of MI signals to spatial translation and rotations of MI coils and verify the capability of the MI-HAR system in detecting relative motion between coils. Moreover, we compare the simulated MI-motion data generated by the MI system model with the data measured by vector network analyzer (VNA).
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