Summary This knowledge article explains how STMicroelectronics MEMS sensors are empowering robotics and physical AI. Two main topics are presented: the application tree available on the ST website and the collaboration with NVIDIA. Introduction Phys...
Summary This knowledge article explains how you can easily implement the fusion of high-g and low-g accelerometer data, relying on the new expansion board X-NUCLEO-IKS5A1. This board features the latest generation of STMicroelectronics MEMS sensors ...
Summary Are you wondering how pressure sensors work in your application? Do you want to get more information about the type of pressure measurement or level of integration needed? This knowledge article provides details of how pressure measurement i...
Introduction Setting up an IoT system with a gateway and sensor board to get inference data over Bluetooth has never been easier. Through this guide, you build and deploy an IoT system with a Raspberry Pi and an STEVAL-MKBOXPRO board. Additionally, ...
Introduction This article showcases how to implement the classification of the different actions performed with a drilling machine, such as idle, screw, drilling, and percussive drilling states. STMicroelectronics offers a solution using the machine...
Introduction Head gestures, such as nodding, shaking, and other general head movements, are essential for various applications, including safety helmets, VR headsets, and other head-worn gear. Recognizing these gestures accurately can significantly ...
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 ...
Introduction In this article, we showcase how ST motion MEMS sensors turn raw data into useful insights for an energy-efficient, real-time asset tracking application. The proposed solution is based on the microcontroller, STM32U3, and on our latest ...
Introduction This article showcases the complete workflow for deploying a decision tree trained for air blower state recognition. The hardware used is within the ST MEMS sensor, IIS2DULPX, embedding the machine learning core (MLC) using the software...
Introduction The article describes ST AIoT Craft IoT API, which is the cloud back-end component that provides support for the IoT capabilities in the ST AIoT Craft platform. ST AIoT Craft IoT API provides a CRUD (Create-Read-Update-Delete) interface...
Summary The article introduces how to implement the adaptive self-configuration (ASC) function using the machine learning core (MLC) and finite state machine (FSM). The FSM automatically configures the sensor based on the detection of a specific mot...
Introduction Human activity recognition (HAR) is a crucial aspect of wearable technology, enabling the classification of various physical activities such as sitting, standing, running, and walking. STMicroelectronics offers a solution for HAR using ...
Introduction The "Smart Asset Tracking" project on ST AIoT Craft enables precise monitoring of a physical item's condition. An example could be a package, to determine whether it’s stationary, moving, or experiencing excessive shaking. This rapid cl...
Summary This article contains a description of how to create a custom gaming controller using the new box kit SensorTile.box PRO. The controller will be providing data over Bluetooth® Low Energy (BLE), specifically orientation, and button status dat...
Introduction This article offers an overview of the 6-axis inertial measurement unit (IMU) LSM6DSV80X. It is designed for precise evaluation of users' performance during sports activities, thanks to its multiple full scales from 2 g up to 80 g. A sp...
Introduction In this article, we explore one of the new features of ST AIoT Craft v1.1: machine learning core (MLC) expert mode. It offers advanced customization of the decision tree classifier in the MEMS sensor, and improved algorithm accuracy. 1....
1. Are there evaluation kits for ST1VAFE3BX and ST1VAFE6AX? ST1VAFE3BX and ST1VAFE6AX are available in three different kits to allow the evaluation with different type of electrodes. STEVAL-MKI242A is a board for evaluating the 6-axis biosensor, ST1...
Summary This article showcases how to get started with ST biosensors ST1VAFE3BX and ST1VAFE6AX. Introduction ST1VAFE3BX and ST1VAFE6AX are the new family of ST biosensors for healthcare and well-being applications. In this article, you discover them ...
Summary This article showcases the recently released STEVAL-MKI109D evaluation board, designed for all ST MEMS sensors. This evaluation board can be used to evaluate a sensor for a new application, analyze data from different sensors, and build and ...
Summary This article showcases how to get started with ST AIoT Craft mobile app to develop your IoT solution. Introduction ST AIoT Craft allows you to create an end-to-end solution. This means that you can create a complete project based on sensor n...
