Building an AI Fitness Trainer Application with Mediapipe's Pose Estimation

TLDRLearn how to build an AI Fitness Trainer application that accurately monitors squats using Mediapipe's Deep Learning-based Human Pose Estimation solution. Get real-time feedback and analyze squat performance.

Key insights

Develop an AI Fitness Trainer application using Mediapipe's Pose Estimation.

🏋️‍♀️Accurately monitor squat performance and provide real-time feedback.

📊Analyze squat data using Mediapipe's Deep Learning-based Human Pose Estimation solution.

📱Try out the AI Fitness Trainer Web app for yourself.

🚀Improve squat technique and track progress with the AI Fitness Trainer.

Q&A

What is the purpose of the AI Fitness Trainer application?

The AI Fitness Trainer application accurately monitors squat performance and provides real-time feedback.

How does the AI Fitness Trainer analyze squat data?

The AI Fitness Trainer uses Mediapipe's Deep Learning-based Human Pose Estimation solution to analyze squat data.

Can the AI Fitness Trainer be used by beginners and advanced users?

Yes, the AI Fitness Trainer can be targeted towards beginners or advanced users by adjusting the threshold angle ranges for feedback.

What are the different states of a squat recorded by the AI Fitness Trainer?

The AI Fitness Trainer records three states: standing (state 1), squatting (state 2), and deep squatting (state 3).

Where can I try out the AI Fitness Trainer Web app?

You can try out the AI Fitness Trainer Web app by clicking the link in the description of the video.

Timestamped Summary

00:00Build an AI Fitness Trainer application using Mediapipe's Pose Estimation.

01:18Calculate different states of a squat using shoulder, hips, knees, and ankle landmarks.

02:32Set threshold angle ranges to provide feedback on squat technique.

02:54Transition between standing, squatting, and deep squatting states based on squat depth.

03:21Increase correct counter for recording correct squat sequences and track squat performance.