Multidisciplinary Data Fusion for THz Ray-Tracing

The accompanying datasets contain joint-angle information recorded with IMUs for six different walking gaits: ordinary-paced walking, running-paced walking, walking with a book, walking while using a phone, stick-assisted walking, and pushing a wheelchair. These motion data are used to animate the human digital twin in the ray-tracing environment. In addition, the datasets include simulation results for an office scenario, showing how body posture and gait-dependent movements affect line-of-sight probability and coverage at 300 GHz.

In this study, the described human digital twin and IMU-based motion data were used in 300 GHz THz ray-tracing simulations to evaluate wireless propagation in an indoor office scenario. The resulting simulation outputs include the received power in dBm and the line-of-sight probability in %, which quantify the impact of gait-dependent human motion on system coverage and link conditions.