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. The Video will give you step-by-step instructions of how to build a goniometer app to measure range of motion of joints.

Download Sample App: https://github.com/quickpose/example-ios-range-of-motion

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 the QuickPose iOS SDK, you can integrate pose estimation easily into your iOS Apps.

For web based applications, you can use JointTrack 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.

You can test the accuracy and how it works using our TestFlight demo app. The demo app runs on iOS devices and includes range of motion measurement and exercise rep counting. It’s quick and easy to set up and gives you a chance to gain the user experience immediately.

Step-by-Step Guide to Building an AI ROM/Goniometer App with the QuickPose iOS SDK

Understanding the QuickPose iOS SDK

QuickPose.ai 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 QuickPose.ai into Your iOS Project

The process of integrating QuickPose.ai 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 the QuickPose iOS SDK is integrated into your project, you can start building your AI-based ROM measurement features.

Measuring joint angles with AI

QuickPose iOS SDK 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 iOS SDK 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 QuickPose iOS SDK is not just a technologically advanced endeavour 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, our SDK is the perfect tool to kickstart your journey into the world of AI in health and fitness.