[HTML][HTML] RIANN—A robust neural network outperforms attitude estimation filters

D Weber, C Gühmann, T Seel - Ai, 2021 - mdpi.com
Inertial-sensor-based attitude estimation is a crucial technology in various applications, from
human motion tracking to autonomous aerial and ground vehicles. Application scenarios …

Effects of IMU sensor-to-segment misalignment and orientation error on 3-D knee joint angle estimation

B Fan, Q Li, T Tan, P Kang, PB Shull - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Accurate joint angle estimation using magneto-inertial measurement units (IMU) is a
significant challenge for human movement analysis outside of the lab. Sensor-to-segment …

[HTML][HTML] JointTracker: Real-time inertial kinematic chain tracking with joint position estimation

B Taetz, M Lorenz, M Miezal… - Open …, 2024 - open-research-europe.ec.europa.eu
In-field human motion capture (HMC) is drawing increasing attention due to the multitude of
application areas. Plenty of research is currently invested in camera-based (markerless) …

[PDF][PDF] RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters. AI 2021, 2, 444–463

D Weber, C Gühmann, T Seel - 2021 - depositonce.tu-berlin.de
Inertial-sensor-based attitude estimation is a crucial technology in various applications, from
human motion tracking to autonomous aerial and ground vehicles. Application scenarios …