AI-Powered Fitness App Development for Android TV
Project in a Nutshell: We developed an Android TV app for a large chain of fitness centres to help them tap into the home workout niche. The solution allows you to exercise at home using a TV and camera that analyses your exercise technique in real-time using artificial intelligence. By realising such a fitness app development project, the client has expanded its audience and increased its loyalty.
Client & Challenge
The client, a large chain of fitness centres, planned to target a home workout market niche and offer their customers an easy and affordable way to train effectively. The client had several key requests:
- Launch the product quickly and with minimal investment to test demand and maintain profitability.
- To stand out from competitors offering expensive devices or simple video tutorials with no interactivity or technique analysis.
- Expand and retain the audience.
”Creating a system that analyses exercise techniques in real time was a challenge, but challenges like this inspire us. We used machine learning to ensure that the system tracks the user's every move with the precision of a coach and immediately tells them how to improve their performance”, said Vadim Shilov, Head of Video Streaming Unit at Promwad.
Solution
After studying the client's requirements, we created a fitness app for Android TV that allows users to exercise at home using a TV and external camera. The application is based on an exercise library and computer vision and artificial intelligence technologies. It helps to analyse and correct exercise techniques in real-time, providing feedback to users.
The solution includes three key components:
- Camera interface. The camera captures the user's movements during exercise, and special processing algorithms ensure high image quality under changing lighting conditions.
- Pose recognition mechanism. Algorithms based on AI models analyse the user's body posture, matching it to reference poses.
- Feedback module. The app provides recommendations through messages, visualisation of errors or voice prompts.
Software Development
We built a fitness app on the Android TV platform, ensuring compatibility with various devices. Local video processing minimises latency and ensures fast feedback.
Model Training & Pose Analysis
We collected and annotated an extensive dataset from images and videos of popular exercises (push-ups, squats, lunges, yoga poses, and HIIT). This data became the basis for training machine learning models.
The skeletal data analyses joint angles and positions — this allows the app to compare the user's movements with reference poses and generate accurate recommendations.
One of the key development challenges was eliminating jitter — small fluctuations in poses between frames due to rapid movement or changing lighting conditions. To address this issue, we implemented smoothing algorithms to ensure stability and consistency in pose analysis.
Hardware Design
We leveraged a high-performance chip with an integrated neural processing unit (NPU) to ensure real-time responsiveness and accuracy. Advanced optimisation techniques, such as quantisation and pruning, enabled efficient processing even on devices with limited resources.
Business Value
The app allowed the client to enter the home workout market successfully, attracting new audiences and expanding its solution ecosystem. The launch increased customer engagement, driving brand loyalty.
More of What We Do for TV Apps Development
- Smart TV Apps: explore our expertise in custom smart TV application development.
- Custom App Ecosystem: a case study of developing a customised solution that helped a client increase engagement and monetise the project.
- What Platform to Choose for Smart TV App: explore our research into popular platforms we use for our clients' developments.
