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.
☆57Updated 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…☆27Updated 2 months ago
- ☆82Updated 2 years ago
- A human pose estimation system for videos, that extracts kinematics that describe a gait (walk)☆42Updated 4 years ago
- Human locomotion affects our daily living activities. Losing limbs or having neurological disorders with motor deficits could affect the …☆19Updated 5 years ago
- Gait analysis using marker-less pose estimation with OpenPose☆65Updated 11 months ago
- 3D human pose estimation from multi-view images using deep learning☆30Updated 4 years ago
- Data-Driven Gait Event Detection for Parkinson's Disease Patients with Freezing of Gait☆11Updated 4 years ago
- Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"☆41Updated last year
- Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"☆32Updated 3 years ago
- Tools for the Cleveland State Human Motion and Control Lab☆113Updated 2 weeks ago
- Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait☆28Updated 2 years ago
- Mobilize Center Tutorials☆28Updated 6 months ago
- A deep learning model for hand gesture recognition☆28Updated 5 years ago
- Based on PyTorch library, realizing human activities recognition using 2D skeleton joint points☆20Updated 5 years ago
- Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recogn…☆67Updated 5 years ago
- Code to reproduce experiments in 'LSTM-based real-time action detection and prediction in human motion streams'☆29Updated 2 years ago
- implementation of an evolved conventional gait model☆52Updated last week
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆94Updated 4 years ago
- Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions (TPAMI 2022)☆48Updated 9 months ago
- ☆19Updated 5 years ago
- ☆17Updated 5 years ago
- Human Action Recognition using Depthmap, Skeleton and Sensor data.☆26Updated 5 years ago
- EV-Action: Electromyography-Vision Multi-Modal Action Dataset☆17Updated 4 years ago
- Deep learning model that predicts human action in a given video feed using pose estimation☆22Updated 6 years ago
- Hand gesture recognition using neural networks☆34Updated 6 years ago
- Deep human action recognition and pose estimation☆407Updated 3 weeks ago
- Extract marker data from C3D files and save them in OpenSim TRC format☆15Updated 2 years ago
- Deep Learning-Based Gait Recognition Using Smartphones in the Wild☆112Updated last year
- Code for predicting clinical scores of parkinsonism (UPDRS-gait/SAS-gait) from skeleton trajectory data.☆26Updated last year
- Quantitative Gait analysis using Deep Learning with a Wearable Sensor Platform☆12Updated 5 years ago