A motion analysis tool

This project develops a fall detection system using Pose Estimation and Optical Flow data with LSTM networks. It enhances detection accuracy for elderly care by analyzing body movements in real-time. Key technologies include the MoveNet model for pose estimation, Optical Flow analysis and LSTM networks for temporal analysis.

This repository contains Python code used for the extraction and clustering of muscle and kinematic synergies from preprocessed EMG data, as described in the research paper . The data was initially imported from Vicon c3d files.

Examples of using GapFill module

Realtime Human Motion Tracking and Analysis

Tracking objects in 2D

Compute causal relationships between individual pixels in 2D videos over space and time to reveal salient dynamics using a variety of causal measures

Powerful motion analysis & tracking library that easily integrates into your platform. Ready made Workouts, Plans, AI assessments, movement & exercise rep-count, movement calorie-burn rate, workout performance metrics, app engagement tracking, range of motion, fatigue detection, fall detection, injury prevention, posture & alignment monitoring

Adult-Child Musculoskeletal Model and Motion Analysis.

A library for modelling racing subjects

Goniometric motion analysis software

Analysis of the possibility of movement measurement on video recordings of the ICSI procedure using machine learning methods.

Hookean mechanics simulator with a "ticking mesh" mechanic to capture the behavior of linear elastic members between nodes and anchors. Extends analytical solution for more complicated systems.

This repo is for exhibiting my animations done using matplotlib

The infant video dataset collected from Youtube with body parsing annotations.

In-depth motion analysis of mobile lung cancer tumors. Designed for 4D-CT scans of the thorax and provide valuable information for proton therapy treatment planning

Python package used by me at the university in the course "Advanced Image, Video and Motion Analysis".

Usage of direct linear transformation (camera calibration and point reconstruction) for accurate motion analysis in biomechanical applications.

Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.