Self-learning AI sensor for wearables and hearables
The BHI260AP self-learning AI sensor recognizes activities reliably with different performance styles, equipment, heights and energy levels of users.
The sensor was developed to allow wearable and hearable devices to provide highly personalized fitness tracking thanks to the self-learning AI software in the sensor. The software recognizes and adapts to a wide range of movements and can learn any new fitness activity that is based on repetitive, cyclical patterns.
“The self-learning AI sensor will change how users interact with their fitness devices from a mere one-way approach to an interactive way of training”, says Dr. Stefan Finkbeiner, CEO at Bosch Sensortec. “This new sensor combines Bosch Sensortec’s long-term experience in smart motion sensors with its strong competence in innovative software development.”
The self-learning AI software comes with a standard set of over fifteen pre-learned fitness activities, meaning it needs no training before use. Additionally it provides four product features: learn, personalize, auto track and enhance. The learning mode adds new fitness activities that were originally not supported, enabling them to customize the device to their individual needs. The personalization feature enables users to adapt existing, pre-learnt activities to their own individual style, increasing the accuracy of calorie counting and activity analyses.
With the auto track function, users can automatically track fitness activities without any manual intervention and analyze their intensity with activity type and count over time – enabling both endurance and strength training. Finally, manufacturers can add new fitness activities without having to modify the software or needing an original dataset. These new transferable exercises may be provided by coaches or star athletes, enabling benchmarking against the best and learning from experts, or simply from the users’ friends. This enhances the perceived value of devices and strongly helps the manufacturers to differentiate.
With the AI running on the sensor itself, hence on the edge, no connectivity to the cloud or even a smartphone is needed. This keeps the data private and means activities can be continuously tracked and analyzed, without the need for an internet connection or tethering to a phone. Edge AI also minimizes latency and power consumption, meaning users can get fast, real-time feedback and extended charging intervals on their devices.
The new sensor is provided to manufacturers as an integrated System in Package (SiP) solution, which includes the hardware, software and embedded AI. This reduces development time and costs, and cuts time to market.
In addition to the self-learning AI software, Bosch Sensortec also provides a wide variety of software solutions for the BHI260AP. The required software can be loaded on to the sensor to provide solutions targeted at specific use cases. The sensor recognizes four different swimming styles: butterfly, backstroke, breaststroke and freestyle. The BHI260AP is a fully programmable sensor, allowing manufacturers to build their own customized software to be embedded in the BHI260AP. To protect these customized solutions from unauthorized use, the smart programmable sensor offers a digital signature.
Bosch Sensortec has also developed an application board along with a BHI260AP shuttle board, which can be wirelessly connected over Bluetooth Low Energy (BLE) to smartphones.
The BHI260AP self-learning AI sensor and the corresponding shuttle board are available via Bosch Sensortec’s distributors. The different software packages are available for download at the Bosch Sensortec website.
More information
https://www.bosch-sensortec.com/products/smart-sensors/bhi260ap/
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