Having reviewed the FORM Smart Swim 2 goggles I had to dig deeper into the tech behind the goggles. The below was shared with me in an interview with Will Parry from FORM who is their Director of Media Relations.
The Tech used in FORM Smart Swim 2 Goggles
Within every pair of FORM goggles, there are two key technologies that work together to create the swimming insights. The first is the augmented reality technology that displays real-time swimming data and training sets. The second is the set of sensors that measure every detail of your swim and then use a machine learning model to translate that into metrics available through the mobile app.
FORM’s Built-In Motion Sensors
FORM goggles use motion-sensing technology. This is housed within their hardware to track your movements and record them as data. Known as an Inertial Measurement Unit (IMU), these sensors include a 3D accelerometer and 3D gyroscope. You might well be familiar with these from your mobile phone where the tech is also used. These sensors provide signals about your swimming pace, technique, and more.
FORM’s Custom-Trained Machine Learning Technology
FORM goggles also use machine learning to provide real time insights. Every time you swim, the sensors in your goggles deliver data to the machine learning platform. The machine learning model analyzes that data and turns it into a prediction of what it thinks you’re doing. This includes information on swimming pace, reps, and turns. This information is then shown visually in the goggles using augmented reality technology.
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