BOSCH’S BHI260AP SELF-LEARNING AI SMART SENSOR FOR FITNESS TRACKING

Athletes have started relying on fitness trackers to monitor their daily exercise and to improve their performance. After a series of developments in smart trackers for athletes, Bosch has now¬†released¬†its new¬†self-learning AI smart sensor¬†‚ÄstBHI260AP¬†specially designed for fitness tracking, navigation, machine learning analytics, and orientation estimation.

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‚ÄĚ, says Dr. Stefan Finkbeiner, CEO at Bosch Sensortec. ‚ÄúThis new sensor combines Bosch Sensortec‚Äôs long-term experience in smart motion sensors with its strong competence in innovative software development.

The company uses the term ‚ÄúOne piece of software ‚Äď four features‚ÄĚ indicating that it is a¬†self-learning sensor¬†that can be¬†personalized¬†and features¬†auto-tracking¬†with¬†enhanced ability. Auto-track is the automatic tracking of fitness activities without user intervention. This comes with self-learning AI software that is provided with more than fifteen pre-learned fitness activities.

The AI sensor is based around Synopsys’s popular ultra-low-power DesignWare ARC EM4 processors with ARCv2 16/32-bit instruction set clocked up to 3.6 CoreMark/MHz. The EM4 processor supports the floating-point unit and comes along with the memory protection unit. BHI260AP has an integrated 16-bit 3-axis accelerometer and gyroscope sensors.

The manufacturer offers a wide range of software support for self-learning AI sensors. This means that the manufacturer of a wearable device can easily load the required software onto the sensor for those targeted applications or specific use cases including orientation tracking, position tracking (PDR), and swimming.

Read more: BOSCH’S BHI260AP SELF-LEARNING AI SMART SENSOR FOR FITNESS TRACKING


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