Sensor fusion algorithms in the SenseMe library are now offered by QuickLogic, independently of its Sensor Hub silicon platforms.

The C-based algorithms deliver optimal and consistent customer experience across smartphone, wearable and IoT platforms, says the company. They shorten system development time, and are portable across platforms. They also reduce the memory footprint to reduce the bill of materials and minimise system power consumption when used with traditional embedded processor solutions as well as with the company’s ultra-low power silicon platforms.

The SenseMe library includes a growing set of algorithms encompassing sensor fusion, pedometer, activity monitoring, context classification and natural user gestures. The algorithms support data input from a range of sensor classes including inertial, magnetic, biological, proximity and light to determine the user’s activity status and context. Recent additions to the library include swimming stroke count and enhancements to its world-class pedometer to measure very slow step count independent of a user’s height, stride and gender.

The algorithms are compatible with the Android OS including KitKat 4.4, Lollipop 5.0, and RTOS-based systems. Standard drivers are available to ease integration.

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