From Image to Stability: Learning Dynamics from Human Pose (original) (raw)
Related papers
Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames
arXiv: Computer Vision and Pattern Recognition, 2018
Learning Dynamics from Kinematics: Estimating Foot Pressure from Video
ArXiv, 2020
Supplemental Material for Learning Dynamics from Kinematics: Estimating Foot Pressure from Video
Foot2hip: A deep neural network model for predicting lower limb kinematics from foot measurements
2022
TELKOMNIKA Telecommunication Computing Electronics and Control, 2020
Journal of NeuroEngineering and Rehabilitation, 2022
A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images
Sensors
Gait Recognition via Deep Learning of the Center-of-Pressure Trajectory
Applied Sciences, 2020
Using Deep Learning to Predict Minimum Foot–Ground Clearance Event from Toe-Off Kinematics
Sensors
Automatic Foot Measurement Extraction from a 3D Point Cloud via a Deep Neural Network
Proceedings of 3DBODY.TECH 2022 - 13th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 25-26 October 2022
Wearable technologies, 2023
Deep Learning in Left and Right Footprint Image Detection Based on Plantar Pressure
Applied Sciences
Deep Learning for Monitoring of Human Gait: A Review
IEEE Sensors Journal, 2019
Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning
Frontiers in Bioengineering and Biotechnology
2021
Medical & Biological Engineering & Computing, 2019
Fast and Continuous Foothold Adaptation for Dynamic Locomotion Through CNNs
IEEE Robotics and Automation Letters, 2019
GaitID-2-SquatID: Deep transfer learning for human kinematics
2019
IEEE Access
Neural Computing and Applications
Gait Activity Classification Using Multi-Modality Sensor Fusion: A Deep Learning Approach
IEEE Sensors Journal, 2021
Machines
On the influence of body velocity in foothold adaptation for dynamic legged locomotion via CNNs
2020
Review on Deep Learning that Predict How We Pose using Motion Features
Try Walking in My Shoes, if You Can: Accurate Gait Recognition Through Deep Learning
2017
In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
2017
Transforming Gait: Video-Based Spatiotemporal Gait Analysis
2022
IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020
Deep Learning in Gait Analysis for Security and Healthcare
Deep Learning: Algorithms and Applications, 2019
MoVi: A large multi-purpose human motion and video dataset
PLOS ONE, 2021
Artificial neural networks for predicting dorsal pressures on the foot surface while walking
Expert Systems with Applications, 2012