Here’s a fun build from [RootSaid] that is suitable for people just getting started with microcontrollers and robotics — an Arduino-controlled two-wheeled robot. The video assumes you already have one ...

With Christmas a little over two weeks ago, one might be scrambling to find a gift for a loved one, friend, or family member. If you’re familiar with Arduino or Raspberry Pi and have a free weekend, ...

Accelerometers are integrated into phones, cars, spacecraft, medical devices and a host of other applications. But their evolution from crude mechanical instruments to today’s microelectromechanical ...

For some, Halloween is starting to rival Christmas for setting up elaborate holiday decorations. Homeowners now spend many hours─and sometimes dollars─creating ghoulish displays of lit pumpkins, ...

Qualcomm Buys Arduino, Will Bring AI Tools to Your DIY Tech Projects The Arduino brand will remain for future products as it becomes part of the Qualcomm business. Plus, there's a brand-new Arduino ...

With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...

Paul and David Bradt’s Ardiono Projects offers multiple ways to use Arduino and Raspberry Pi microcontrollers for your model railroading projects. Buy the book here. Code for Button/Blink Test (SN095) ...

Abstract: An innovative application of negative group delay (NGD) circuit embedded in a mobile platform for the real-time prediction of arbitrarily moving object position is developed in this article.

Over the last decade, the open-source movement has not only transformed the world of software, but also catalyzed a sweeping revolution in hardware tinkering. At the heart of this shift lies a ...

Abstract: This study presents a real-time push-up movement detection and quality evaluation system using the MPU6050 accelerometer sensor on the Arduino platform. The system integrates advanced ...

Introduction: This study quantified the distribution of accelerometer data in rugby league competition. Methods: A squad of 35 male professional National Rugby League (NRL) players (age: 26.0 ± 3.4 ...