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ST gives free Software to Simplify Detection of Human Activity on Mobile and Wearable Devices


STMicroelectronics makes three new additions to foster its Open.MEMS portfolio, demonstrating free and easy-to-use software libraries for the development of best-in-class motion-sensing applications.

The new libraries is known to allow designers to combine the power of ST’s prime motion-sensing technology integrating huge array of price/power/performance options offered by the STM32, ARM Cortex-M 32-bit microcontroller family providing an ideal route to implementing contextual awareness in mobile, wearable, and IoT(Internet of Things) applications.

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

The three new software packages are:

  • The osxMotionAR Activity Recognition package is a high-performance algorithm that identifies the user activity from a wide range of movements and transportation scenarios such as stationary, walking, fast walking, jogging, cycling, and driving. Exploiting the high precision of ST’s LSM6DS3, LSM6DS3H, and LSM6DSL inertial modules, the Activity Recognition algorithm manages the data acquired from the sensors at a low sampling frequency and returns the identified activity in real-time with very low power consumption.
  • The osxMotionCP Carry Position package detects how the device containing the motion sensors is being carried. For example, the algorithm can detect whether a portable device such as a mobile phone is placed on a desk, held in hand to view the display or in a swinging arm, near the user’s head, or put in a shirt or trouser pocket. To minimize power consumption, sensor data is acquired at a low sampling frequency (50Hz).
  • The osxMotionGR Gesture Recognition package recognizes the actions carried out on a mobile or handheld device, including pick-up, glance, or wake-up, which allows designers to develop controls for different functions on the device. This algorithm acquires data from inertial modules with a sampling frequency of 100Hz and recognizes the gestures carried out by the user platform in real-time.

Based on the comprehensive STM32Cube software development tool, Open.MEMS libraries are part of the X-CUBE-MEMS1 expansion software package designed to run on the X-NUCLEO-IKS01A1 motion MEMS and environmental sensor expansion board.

The easy-to-use Application Programming Interface allows software developers to rapidly build and customize leading-edge motion-driven applications for the different use cases.


The new Open.MEMS packages are exclusively obtainable, free of charge, to customers through a simple click-through license agreement.


BiS Team

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