The X-CUBE-MEMS1 expansion software package - an overview1. X-CUBE-MEMS1 expansion software package The X-CUBE-MEMS1 expansion software package for STM32Cube is a library package we already encountered in a past series of posts, running on the STM32...
The STM32Cube environment - the starting point for a tour inside the motion libraries1. STM32Cube environment If you decides to start developing from scratch, you must well know the STM32Cube ecosystem. This is a set of tools -maybe one of the most...
This article will explain how to get started with SensortTile.box smartphone app, starting with the description of the proposed Example Applications in in terms of Input, Functions and Output and will explain how to build your own Application.1. Conn...
This article will explain how to use SensortTile.box in Pro mode, and create a whole project from scratch with the STCube.MX standard procedure.1. How to get the full control on ST.box - the Pro Mode If you are a developer, or you are just moved by ...
This article continues describing how to use the Machine Learning Core (MLC) configuration in the ST MEMS sensors that can be found on the STWIN evaluation board. This example shows how MLC functionality embedded in ISM330DHCX can be used for fan rac...
In this article, the third of a series of MLC AI tips articles, we will explain how to evaluate the performance of a trained decision tree model in order to build the best possible model for the Machine Learning Core embedded in the latest generation...
In this article, the third of a series of MLC AI tips articles, we will explain how to choose the features to train a decision tree, how to choose the window size to use to compute those features and how to apply the right filters to leverage frequen...
In this article, the second of the MLC AI tips articles, we will explain how to manage a robust and meaningful data collection to train decision trees that can be embedded on the Machine Learning Core of our ST MEMS sensors.1. Introduction The usual...
In this article, the first of a series of MLC AI tips articles, we will explain what decision trees are and how to embed a solution based on decision trees into the latest generation of ST MEMS sensors, which feature a built-in machine learning core ...
This is the continuation of <> article Recalling the steps of the procedure to setup the Vibration detection with LSM6DSOX demo, described in the Part 1: STEP1 . Installation of Unico and Unicleo GUI on PC STEP2 . Download DataLogger FW project on ...
The demo project is intended to show the capabilities of Machine Learning Core (Decision Tree model) of LSM6DSOX using the accelerometer data to detect the status of a motor in 5 different conditions.Overall description of the demo The demo project ...
