It’s no secret that distributed fitness, aka workouts completed independently of a gym or trainer, is extremely popular these days. In this article, learn how recent advancements in Artificial Intelligence technology are helping wearable fitness trackers offer a more personalized experience to their users.
Home-based fitness programs became extremely popular after the COVID-19 pandemic started because of the forced closure of gyms and other fitness facilities. Millions of people transitioned to self-led workouts in their homes or around their neighborhoods. Many of these workouts are completed with the assistance of a wearable fitness tracker that takes biometric readings and helps track progress.
Historically, though, fitness trackers have been limited by their programming. There are a plethora of different exercises to do, and it’s a lofty task for a basic fitness tracker to be able to store information about them all. That is, until now. Enter Artificial Intelligence and self-learning sensors.
Whether you’re new to fitness or a seasoned pro, self-learning AI sensors are a major benefit to tracking devices. They can provide personalized, interactive fitness tracking, smoothly adapting to the user’s changing activities and goals. They can recommend specific exercises based on recent progress. They can even, through motion sensing, recognize which exercise the user is doing and whether or not it is being done correctly.
All of these tasks place high demands on the sensors. Bosch knows this, which is why the BHI260AP self-learning AI sensor was developed. This solution combines self-learning AI software, a programmable microcontroller, and a 6-axis IMU with MEMS technology. The integrated design keeps things simple, as there’s no need for a separate processor for AI-related tasks. Integrated into the next generation of AI-enabled fitness trackers, it streamlines the development process and leads to a better user experience.
For more details about this innovative solution, and to learn more about AI-enabled, self-learning fitness trackers, click through to the article.