[HTML][HTML] A comparison of three neural network approaches for estimating joint angles and moments from inertial measurement units
The application of artificial intelligence techniques to wearable sensor data may facilitate
accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians …
accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians …
Addbiomechanics dataset: Capturing the physics of human motion at scale
While reconstructing human poses in 3D from inexpensive sensors has advanced
significantly in recent years, quantifying the dynamics of human motion, including the muscle …
significantly in recent years, quantifying the dynamics of human motion, including the muscle …
Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach
Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide
important clinical information and can be used to control assistive devices. Traditionally …
important clinical information and can be used to control assistive devices. Traditionally …
Predicting free achilles tendon strain from motion capture data using artificial intelligence
The Achilles tendon (AT) is sensitive to mechanical loading, with appropriate strain
improving tissue mechanical and material properties. Estimating free AT strain is currently …
improving tissue mechanical and material properties. Estimating free AT strain is currently …
Prediction of gait kinetics using Markerless-driven musculoskeletal modeling
Video-based motion analysis systems are emerging in the biomechanics research
community, yet there is limited exploration of kinetics prediction using RGB-markerless …
community, yet there is limited exploration of kinetics prediction using RGB-markerless …
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics
Ground reaction force and moment (GRF&M) measurements are vital for biomechanical
analysis and significantly impact the clinical domain for early abnormality detection for …
analysis and significantly impact the clinical domain for early abnormality detection for …
Underpressure: Deep learning for foot contact detection, ground reaction force estimation and footskate cleanup
L Mourot, L Hoyet, FL Clerc… - Computer Graphics …, 2022 - Wiley Online Library
Human motion synthesis and editing are essential to many applications like video games,
virtual reality, and film post‐production. However, they often introduce artefacts in motion …
virtual reality, and film post‐production. However, they often introduce artefacts in motion …
Accurate real-time joint torque estimation for dynamic prediction of human locomotion
H Dinovitzer, M Shushtari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Inverse dynamics is a common tool for determining human joint torques during walking. The
traditional approaches rely on ground reaction force and kinematics measurements prior to …
traditional approaches rely on ground reaction force and kinematics measurements prior to …
Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors
The ankle joint plays a crucial role in gait, facilitating the articulation of the lower limb,
maintaining foot-ground contact, balancing the body, and transmitting the center of gravity …
maintaining foot-ground contact, balancing the body, and transmitting the center of gravity …
Machine learning-based prediction of joint moments based on kinematics in patients with cerebral palsy
Joint moments during gait provide valuable information for clinical decision-making in
patients with cerebral palsy (CP). Joint moments are calculated based on ground reaction …
patients with cerebral palsy (CP). Joint moments are calculated based on ground reaction …