An Open-Source Platform for Human Pose Estimation and Tracking Using a Heterogeneous Multi-Sensor System.

Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking. Using only a single sensor type, e.

Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion.

Today, enhancement in sensing technology enables the use of multiple sensors to track human motion/activity precisely. Tracking human motion has various applications, such as fitness training, healthcare, rehabilitation, human-computer interaction, virtual reality, and activity recognition. Therefore, the fusion of multiple sensors creates new opportunities to develop and improve an existing system.