soudazhou/SharingMate
Eliminates the hassle working out the due payment of each individual during collective spending
The aim of this project is to design and implement a software tool that will provide useful feedback for weightlifters wishing to improve their performance in the barbell deadlift. The tool will provide automatic feedback on lifts captured by a Microsoft Kinect 3D camera. It will exploit the Kinect's skeletisation capabilities to extract relevant joint angles in order to allow the comparison of different lifts. If the subject performs a set of lifts one after the other then the tool will identify where each individual lift starts and stops to make comparison easier. It enables recording of the weightlifting sessions with automatic detection and tracking of human body joints, extracting relevant information such as angles of human body joints from the lift, as well as analysis, evaluation and comparison with other lifts. It also allows the user to evaluate the performance of their lifts without the company of professional coaches which helps boosting weightlifting performance.
Public repository record indexed from GitHub. Explore verified star velocity metrics, source code repositories, and curated developer tool directories across the GitHubRepo ecosystem.
Eliminates the hassle working out the due payment of each individual during collective spending
An open source online version of the famous board game Sanguosha
The Leek group guide to data sharing
For data science course on coursera offered by John Hopkins University