A New Quaternion-Based Kalman Filter for Human Body Motion Tracking Using the Second Estimator of the Optimal Quaternion Algorithm and the Joint Angle Constraint Method with Inertial and Magnetic Sensors.
Yingbo DuanXiaoyue ZhangZhibing LiPublished in: Sensors (2020)
Keyphrases
- kalman filter
- human body
- motion tracking
- markerless
- dynamic programming
- articulated body
- inertial sensors
- body parts
- human motion
- pedestrian detection
- particle filter
- reconstruction method
- motion capture
- closed form
- joint angles
- particle filtering
- mean shift
- degrees of freedom
- object tracking
- geometric constraints
- expectation maximization
- motion analysis
- computer vision