Hybrid Jump Dynamics (Tanaka et al. 2023)

Sensor-fusion pipeline combining monocular broadcast video with body-mounted IMUs to recover jump rotations and airtime.

Primary tasks
Jump mechanics, Rotation analysis, Impact estimation
Modalities
RGB video, IMU sensors, 3D pose sequences
Architecture
Kalman-filtered fusion between pose trajectories and inertial data
Frameworks
PyTorch, MATLAB
Availability
research
Maintainer
Keio University
Released
Nov 2023

Highlights

Implementation Notes

Synchronisation requires flashing LEDs at take-off; replicate this setup or rely on audio clap alignment. The authors recommend recalibrating IMUs each session to prevent drift when skating in cold arenas.