STMicroelectronics' free software simplifies human activity detection design for mobile phones and wearables

21ic News STMicroelectronics (ST) has added three software packages to its easy-to-use Open.MEMS free software library to help designers develop the best motion detection applications in their class, integrating STMicroelectronics World-leading motion detection technology and the price, power and performance advantages of today's most popular ARM® Cortex®-M 32-bit microcontroller STM32 for mobile phones, wearables and IoT (Internet of Things) applications The ideal choice.

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By analyzing the data captured by the in-line inertial sensor embedded in the terminal device, the new software can detect human activity and optimize the design to minimize power consumption. It is especially suitable for portable or wearable fitness and health care applications that monitor human activities for a long time.

The three new packages are:

• The osxMotionAR Human Activity Recognition Package is a high-performance algorithm that identifies the user's physical activity from various sports and traffic scenarios, such as stationary, slow walking, fast walking, jogging, cycling, and driving. Taking full advantage of the high precision of STMicroelectronics' LSM6DS3, LSM6DS3H and LSM6DSL inertial sensor modules, the activity recognition algorithm manages sensor data acquired at low sampling frequencies and returns the identified active events in real time with very low power consumption.

• osxMotionCP carries a position detection package to detect the placement of portable devices with built-in motion sensors. For example, the algorithm can monitor whether a portable device such as a mobile phone is placed on a table or whether the user is holding the screen in his hand or holding the mobile phone and walking on the arm, whether it is placed on the user's head or in a jacket or trouser pocket. To minimize power consumption, the sampling frequency of the sensor data is very low (50 Hz).

• The osxMotionGR gesture recognition package is used to identify actions performed on a user's mobile phone or handheld device, including picking up, screen overview or wake-up, allowing designers to develop control methods for different functions of the device. The algorithm collects data from the inertial sensor module at a sampling frequency of 100 Hz, and recognizes the gestures completed by the user on the platform in real time.

Based on the feature-rich STM32Cube software development tool, the Open.MEMS software library is part of the X-CUBE-MEMS1 extended software library and is specifically designed for operation on the X-NUCLEO-IKS01A1 motion MEMS and environmental sensor expansion boards.

Each Open.MEMS package includes a pre-compiled firmware library that supports the most common development environments and sample software to quickly evaluate the outstanding features and performance of STMicroelectronics MEMS motion sensors.

The easy-to-use application programming interface allows software developers to quickly create applications based on cutting-edge motion sensors and personalize custom applications.

With a simple click-to-action electronic license agreement, users can use the new Open.MEMS software package for free.

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