Thursday, March 28, 2024

Free Tool Simplifies Mobile Detection of Human Activity

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STMicroelectronics has introduced three additions to itsOpen. MEMS portfolio of free and easy-to-use software libraries for the development of best-in-class motion-sensing applications. The new libraries allow designers to combine the power of ST’s world-leading motion-sensing technology with the huge array of price/power/performance options offered by the STM32, the world’s most popular ARM® Cortex®-M 32-bit microcontroller family. Thisprovides an ideal route to implementingcontextual awareness in mobile, wearable, and IoT(Internet of Things) applications.

The new software allows the detectionof human activities from data acquired by inertial sensors embedded in the end-user equipment. Optimized tominimize power consumption, they are particularly suitedfor fitness and healthcare applications in portable or wearable platforms that monitor human physical activities in realtime over long periods.

The three new software packages are:
• The osxMotionAR Activity Recognition package is a high-performance algorithm thatidentifiesthe 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 sensorsat a lowsampling frequency and returns the identified activity in realtimewith a very low power consumption.
• The osxMotionCP Carry Position package detects how the device containing themotion sensors is being carried. For example, the algorithm can detect whether a portable device such as a mobile phone is placed on adesk, 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, sensordata is acquired at a low sampling frequency (50Hz).

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• The osxMotionGRGesture 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 realtime.

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.
Each Open.MEMS software package includes pre-compiled libraries for the most common development environments and examples expressly designed to quickly evaluate the outstanding features and performances of ST’s MEMS motion sensors.

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 available now, free of charge, to customers through a simple click-through license agreement.

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