STMicroelectronics Open.MEMS software library additions

STMicroelectronics has introduced three additions to its Open.MEMS portfolio of free and easy-to-use software libraries for the development of motion-sensing applications. The libraries allow designers to combine the power of ST’s motion-sensing technology with the options offered by the STM32 ARM Cortex-M 32-bit microcontroller family.

The software allows the detection of human activities from data acquired by inertial sensors embedded in the end-user equipment. Optimised to minimise power consumption, they are suitable for fitness and healthcare applications in portable or wearable platforms that monitor human physical activities in real time over long periods.

The osxMotionAR Activity Recognition package is a high-performance algorithm that identifies the user activity from a wide range of movements and transportation scenarios. The algorithm manages the data acquired from the sensors at a low sampling frequency and returns the identified activity in real time with low power consumption.

The osxMotionCP Carry Position package detects how the device containing the motion sensors is being carried. To minimise power consumption, sensor data is acquired at a low sampling frequency (50 Hz).

The osxMotionGR Gesture Recognition package recognises the actions carried out on a mobile or handheld device, which allows designers to develop controls for different functions on the device. This algorithm acquires data from inertial modules with a sampling frequency of 100 Hz and recognises the gestures carried out by the user platform in real time.