avakanski / A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
☆55Updated last year
Alternatives and similar repositories for A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises:
Users that are interested in A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises are comparing it to the libraries listed below
- This repository provides training and evaluation code for paper titled "Graph Convolutional Networks for Assessment of Physical Rehabilit…☆26Updated this week
- ☆80Updated 2 years ago
- Gait analysis using marker-less pose estimation with OpenPose☆63Updated 9 months ago
- A human pose estimation system for videos, that extracts kinematics that describe a gait (walk)☆36Updated 4 years ago
- Human locomotion affects our daily living activities. Losing limbs or having neurological disorders with motor deficits could affect the …☆19Updated 4 years ago
- Data-Driven Gait Event Detection for Parkinson's Disease Patients with Freezing of Gait☆11Updated 4 years ago
- Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions (TPAMI 2022)☆46Updated 7 months ago
- Quantitative Gait analysis using Deep Learning with a Wearable Sensor Platform☆11Updated 5 years ago
- Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"☆38Updated last year
- Extract marker data from C3D files and save them in OpenSim TRC format☆15Updated 2 years ago
- Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"☆29Updated 3 years ago
- Mobilize Center Tutorials☆27Updated 4 months ago
- This is temporal repository for 3-D human motion tracking from videos and/or IMUs☆13Updated last year
- implementation of an evolved conventional gait model☆50Updated 6 months ago
- EV-Action: Electromyography-Vision Multi-Modal Action Dataset☆17Updated 4 years ago
- Unofficial pytorch implementation of U-CondDGCN from "WenBo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong : Conditional D…☆47Updated 2 years ago
- ☆19Updated 5 years ago
- RanaMostafaAbdElMohsen / Human_Activity_Recognition_using_Wearable_Sensors_Review_Challenges_Evaluation_BenchmarkThis github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Ev…☆16Updated 3 years ago
- Code to reproduce experiments in 'LSTM-based real-time action detection and prediction in human motion streams'☆29Updated 2 years ago
- Tools for the Cleveland State Human Motion and Control Lab☆113Updated 2 years ago
- Invariant representation learning for infant pose estimation with small data (FG2021)☆48Updated 6 months ago
- Information of public available data sets for biomechanics.☆61Updated last month
- Methods to automate movement-based assessments for infants using video analysis☆49Updated 5 years ago
- Utilities for processing OpenCap data.☆78Updated last week
- Package for analyzing human motion data (e.g. PA, gait)☆90Updated 3 months ago
- Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time☆150Updated last year
- Online 3D skeleton-based action recognition with a single RGB camera☆93Updated 4 years ago
- Live inverse kinematics based on IMU orientations using OpenSim 4.1 API☆25Updated last year
- ☆31Updated 6 years ago
- 3D CNN-LSTM model for hand gesture recognition☆12Updated 4 years ago