Designed and implemented a posture corrector that delivers real-time feedback on user posture, achieving an improvement of 32% in posture alignment. • Leveraged Mediapipe for precise real-time detection of 32 key human body joints. Established precise joint angle threshold to further refine posture correction, tailored to specific exercises.
Тестовое задание на Frontend разработчика (React)
I worked on this short project for which estimates the angles between the joints and gives a frequency count of the number of times a person works out using that particular pose. Used MediaPipe and OpenCV, this was pretty straightforward
Knee bend exercise detector that counts the successful rep count only if the user bends the knee for more than 8 seconds by using Mediapipe and OpenCV . The condition for the knee to be in a bent stage is that the angle between the hip, knee, and ankle should be smaller than 140 degree.
Interview Buster is an AI-powered tool designed to help job seekers enhance their non-verbal communication skills. By leveraging advanced computer vision techniques, it provides personalized feedback on body language, including facial expressions, head posture, eye contact, hand gestures, and body poses, ultimately boosting interview success rates.
A program to track exercise using mediapipe and openCV
Pose estimation with python
ML for Medicine - Modules for quantifying the symptoms of XDP
Yoga Recommendation and Detection
A computer vision approach to improve performance of elite athletes in javelin throw
Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.
Advanced Computer Vision with OpenCV and Mediapipe
Using mediapipe module to detect movements and keep track of curls
Yoga Position Detection, Based on Media Pipe Pose Tracking Model
Cordova MediaPipe Pose plugin
Исходные файлы приложения "Трекинг упражнений", разработанного для курсовой работы по курсу 01.03.04 - "Методы искуственного интеллекта", кафедры КИК, НИТУ МИСиС, 2021-2022 уч. год.
Kinematic Pose Estimation is used to monitor and track workouts.
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