Add Real-Time Pose Estimation to Mobile Apps in 2025

Integrating real-time pose estimation and human body detection into mobile and web applications has long been a challenge for developers. Packages like TensorFlow.js, mediapipe offer incredible capabilities, but stabilizing them across platforms like iOS and Android often becomes a frustrating process...

Contents

• How do pose estimation and human body detection work with PoseTracker?
• Why Choose PoseTracker API?
• Getting Started with PoseTracker API
• Applications of PoseTracker API
• Why PoseTracker Stands Out

At Movelytics, we experienced these challenges firsthand, and that’s why we created the PoseTracker API. Our API simplifies pose estimation, eliminating the need for cumbersome SDKs or packages while providing a seamless integration experience.

What if I told you that you could add pose estimation with just one line of code?

‍

How do pose estimation and human body detection work with PoseTracker?

‍

We offer two tools:

• The first one integrates all the pose estimation technology and connects directly to the user's camera through an iframe.

• The second is a tracking pixel that loads all the pose estimation packages and our logic, allowing your application to process images and receive pose estimation and motion analysis data.

Why Choose PoseTracker API?

‍

PoseTracker is the first API designed specifically for developers looking to integrate real-time pose estimation and motion tracking into their applications. Whether you’re building for React Native, TensorFlow, or other platforms, PoseTracker allows you to focus on creating user-friendly experiences without worrying about pose estimation SDKs complexity.

‍

Key Features:

• Cross-Platform Compatibility: Works effortlessly on iOS, Android, and web applications.
• Pre-Trained Exercise Analysis: Includes motion analysis tools for exercises like squats, push-ups, lunges, and more.
• Real-Time Feedback: Provides actionable insights on movement quality and repetitions.
• Customizable Use Cases: Developers can create their own motion analysis tools tailored to specific needs.
• Lightweight Integration: No SDKs needed—simply call our API via a WebView or iframe.

Getting Started with PoseTracker API

Here’s how you can integrate PoseTracker into a React Native application using our free endpoint.

‍

Step 1: Setting Up Your Project

Create a new React Native project using Expo. Install the necessary packages:

Here, we will only need the expo-camera library to handle permissions.

‍

Step 2: Setting Up the Camera

Allow your app to access the device’s camera

‍

Step 3: Integrating PoseTracker WebView

PoseTracker provides a lightweight WebView solution for rendering pose estimation results. Add this code to your app

‍

Step 4: Handle Pose Estimation and Motion Analysis data

Use the data received to create your own users experiences !

PoseTracker will essentially provide data for fitness exercise repetition counting and real-time feedback on the execution of each exercise.

You can find the full code for this tutorial on our Github: https://github.com/Movelytics/PoseTracker-Example-ReactNative-Exp

‍

Applications of PoseTracker API

PoseTracker API is perfect for:

• Fitness Apps: Track form and count reps for exercises.
• Rehabilitation: Monitor recovery progress and ensure correct movements.
• Gaming: Add motion-controlled gameplay to your apps.
• Yoga Training: Guide users through poses with real-time feedback.

Why PoseTracker Stands Out

Unlike competitors like PoseNet, MoveNet, or OpenPose, PoseTracker doesn’t require complex SDKs or large installations. It’s designed for plug-and-play integration, making it the most developer-friendly solution on the market.

Try PoseTracker API today and take your fitness or health app to the next level!

Visit PoseTracker to learn more.