Constructed the spinal deformity dataset to classify Kyphosis, Lordosis and Normal Gait

This repository describes a new measure for characterizing self-similarity in high-frequency signals. The introduced method is applied in the context of an important gait data study.

Collection of resources to analyze gait data with machine learning

Human Joints Orthosis Sizing and Evaluation Tools.

Predictive Analysis for Musculoskeletal Injury Risk using Machine Learning and Flask

SAGE (Sensor-Assisted Gait Evaluation) is an analysis platform built with React, Flask, and Tailwind CSS that processes sensor data to classify different types of gait patterns using machine learning.

Detection of initial contacts from raw inertial data recorded by a single head-worn IMU with a temporal convolutional network

Here we will keep all the documents about the course BioEngineering laboratory, third year of industrial engineering at UCBM

The code presented here is for various gaits implemented on the Quadruped that I developed as a part of my Bachelors Thesis Project.

사람의 걸음걸이를 딥러닝 모델을 이용하여 뼈대를 찾는 이미지 프로세싱

A project on gait analysis and recognition using accelerometer sensor data and computational techniques to recognize individuals based on their unique walking patterns.

Some QA tests performed on the force plates in our Gait Lab

Walking Analysis with Abnormal Gait Detection using 4D Humans

This repository contains tools to compute and analyze the Instantaneous Center of Rotation (ICR) trajectories for shank and thigh movements in the sagittal plane during walking. The analysis uses motion capture data obtained during gait trials using the Xsens MVN Awinda System, which include both overground and treadmill conditions.

Source Code for the Rehabilitation Robot project that I worked on during my Winter Internship @ IIT-Kharagpur

Comprehensive pipeline for analyzing and visualizing IMU-based gait data.

Robocon is an International level robotics competition. This is our code for Robocon 19.

This code is modified Gait analysis 2354 Simtk model for a 25 years old professional soccer player who experienced ACLR

Domain Ontology for Gait Analysis to Support Clinical Decision-Making in the Treatment of Gait-related Diseases

Convert accelerometer data for gait analysis