Human activity recognition (HAR) gained great interest in today’s research activities, especially in regard to demographic change. Especially when complex activities have to be recognized, HAR systems often rely on multiple sensors necessary to be worn by the user. In this work, we propose a novel approach for combining a segmented optical receiver with a single IMU device. By fusing IMU related real world experimental data with precise optical simulations of a segmented optical receiver we can not only determine the activity of the user, including complex movements like walk-up and walk-down, but can also determine the user´s location.
|