Development and analysis of a real-time human motion tracking system

2003 ◽  
Author(s):  
J.P. Luck ◽  
C. Debrunner ◽  
W. Hoff ◽  
Qiang He ◽  
D.E. Small
Keyword(s):  
Real Time ◽  
Motion Tracking ◽  
Tracking System ◽  
Human Motion ◽  
Human Motion Tracking ◽  
Motion Tracking System

Human motion tracking system using coded Fresnel lens arrays

2005 ◽  
Author(s):  
M. Shankar ◽  
J. B. Burchett ◽  
S. D. Feller ◽  
B. D. Guenther ◽  
D. J. Brady
Keyword(s):  
Motion Tracking ◽  
Tracking System ◽  
Fresnel Lens ◽  
Human Motion ◽  
Human Motion Tracking ◽  
Motion Tracking System

Design of a marker-based human motion tracking system

2007 ◽  
Vol 2 (1) ◽  
pp. 59-67 ◽  
Author(s):  
A. Kolahi ◽  
M. Hoviattalab ◽  
T. Rezaeian ◽  
M. Alizadeh ◽  
M. Bostan ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Tracking System ◽  
Human Motion ◽  
Human Motion Tracking ◽  
Motion Tracking System

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

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2340
Author(s):  
Ashok Kumar Patil ◽  
Adithya Balasubramanyam ◽  
Jae Yeong Ryu ◽  
Bharatesh Chakravarthi ◽  
Young Ho Chai
Keyword(s):  
Open Source ◽  
Real Time ◽  
Pose Estimation ◽  
Motion Tracking ◽  
Inertial Sensors ◽  
Tracking System ◽  
Human Motion ◽  
Human Pose Estimation ◽  
Human Motion Tracking ◽  
Human Pose

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.g., inertial sensors, human pose estimation accuracy is affected by sensor drift over longer periods. This paper proposes a human motion tracking system using lidar and inertial sensors to estimate 3D human pose in real-time. Human motion tracking includes human detection and estimation of height, skeletal parameters, position, and orientation by fusing lidar and inertial sensor data. Finally, the estimated data are reconstructed on a virtual 3D avatar. The proposed human pose tracking system was developed using open-source platform APIs. Experimental results verified the proposed human position tracking accuracy in real-time and were in good agreement with current multi-sensor systems.

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