How to build a goniometer app? Using AI? In this video, Pete shows us how to build an iOS app that measures range of motion using QuickPose’s iOS SDK for pose estimation.

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What is a Range of Motion/Goniometer App?

A Range of Motion or Goniometer app measures the angles of joints in the body and tracks any changes over time. This kind of application is widely used in physical therapy, fitness training, yoga, and health monitoring. By using AI, the measurements become more precise and less invasive, enhancing user experience and outcomes. Using pose estimation, we can measure the angles between joints using a camera. Using QuickPose, you can integrate pose estimation easily into your iOS Apps.

QuickPose is also available as an API, which includes image annotation, measuring range of motion, and other pose estimation tools. 

Why build an AI Range of Motion/Goniometer App

The incorporation of AI technology into measuring range of motion, or digital Goniometer apps has opened up new avenues in the health and fitness sector. These benefits include:

  1. Precision and Accuracy: AI technology offers high precision measurements that outstrip traditional manual methods.
  2. User Engagement: An intuitive, AI-driven app can dramatically enhance user engagement, encouraging regular usage and adherence to exercise and therapy regimes.
  3. Data Insights: The AI technology can provide valuable insights into the user’s progress, helping to tailor fitness or therapy plans more effectively.
  4. Remote Monitoring: Particularly useful in the current climate, AI technology enables remote monitoring of users, useful in telehealth and virtual fitness coaching.
  5. It’s a fun project: As a developer, implementing AI into your projects is a valuable skillset. At QuickPose we are constantly adding new features to our AI tools, so you can develop with us. Feel free to reach out to us if you have any questions, suggestions, and comments!

Step-by-Step Guide to Building an AI ROM/Goniometer App with

Understanding is a robust AI-powered tool designed to facilitate developers in creating state-of-the-art ROM/Goniometer apps. What would take a few months of development (and an AI Engineer) can now be integrated using our iOS SDK.

Integrating into Your iOS Project

The process of integrating into your iOS project is straightforward. Our video guide will walk you through each step, from installation to implementation.

Implementing AI-Based Range of Motion Measurement

Once is integrated into your project, you can start building your AI-based ROM measurement features.

Measuring joint angles with AI

QuickPose allows you to define the joints you would like to measure, and display these values to the user. Here is an example app that measures shoulder range of motion.

Detecting thumbs up / thumbs down

QuickPose features also include detecting Thumbs Up and Thumbs down using pose classification. This can be used to allow the user to communicate with the app without touching the screen.

Unleashing the Potential of AI in Health and Fitness Apps

Building an AI Range of Motion/Goniometer app on iOS with is not just a technologically advanced endeavor but a step towards creating smarter health and fitness apps. It’s an opportunity to create innovative, user-friendly apps that can truly make a difference in people’s lives. With its easy integration and user-friendly interface, is the perfect tool to kickstart your journey into the world of AI in health and fitness.


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