Improved GUI Simplifies Custom Motion-Sensing Design

STMicroelectronics’ Unico GUI promises to greatly simplify configuring the finite state machine and machine learning core (FSM and MLC) logic of its latest Inertial Measurement Units (IMUs), including the latest LSM6DSO and LSM6DSOX 6-axis modules. The FSM logic lets users run gesture and motion-recognition algorithms directly in the sensor for always-on convenience and low power consumption. The MLC implements machine-learning classifiers for real-time always-on motion and vibration pattern recognition.

 

With Unico GUI (STSW-MKI109L for Linux, STSW-MKI109M for Mac OSX, and STSW-MKI109W for Windows machines) to configure the module’s internal registers and embedded FSM and MLC logic, users can quickly and easily create their own motion-recognition algorithms. The GUI also makes light work of combining the module’s accelerometer and gyroscope data with inputs from additional external sensors, such as a magnetometer, for even more sophisticated context-sensing capabilities.

Free Newsletter

Like this article? Subscribe to FierceSensors!

The sensors industry is constantly changing as innovation runs the market’s trends. FierceSensors subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Register today to get sensors news and updates delivered right to your inbox.

 

When used in smartphones, wearables, or industrial devices, the FSM and MLC -- as an embedded, low-power engine for gesture and motion recognition -- allow user-interface functions and context-aware apps to continue running while the main processor sleeps to maximize battery runtime. The LSM6DSO contains logic for up to 16 independent state machines, each generating a hardware interrupt activated by a specific motion pattern, while the LSM6DSOX contains also the logic to implement multiple-stage decision trees for machine-learning classification. Need greater enlightenment? Checkout the Unico GUI page.

Suggested Articles

Researchers at Nvidia think AI will be used to help learn laws of physics to help train machines and vehicles learn how to move and manuever.

Hyris bCUBE testing device for surface COVID-19 relies on AI to process data

IT spending confidence levels have stabilized in other countries but not the US, according to IDC.