IoT skate computer

High level figure skaters undergo extreme forces, when performing jumps and complex manoeuvres on ice.

There are no mainstream commercial wearable devices specifically for monitoring skating training and performance.

We designed an IoT sensing device for mounting to the side of a figure skater's boot. It allows the detection of angular velocity (gyroscope) and impact forces (two force sensitive resistors) during training.

The initial prototype only provides rudimentary analysis of jump performance, by displaying parameters such as air-time and peak angular velocity to the user on a training dashboard webpage. However, there is good scope for future development to include AI-based performance analysis and various modes of performance tracking.

Knowledge gained:

• Force sensitive resistor interfacing
• Python development
• MQTT protocol for IoT devices
• Commercial product considerations for IoT devices

Team members:

• Alexander Limonov
• Matei Tanase
• Nikolay Miladinov

See below for a video of the device in action!

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