AI-powered wearable cleans noisy motion signals to let users control machines with simple gestures in real-world conditions.

A new wearable system uses stretchable electronics and artificial intelligence to interpret human gestures with high accuracy even in chaotic, high-motion environments.

UCSD engineers created a soft, AI-powered wearable that filters motion noise and interprets gestures in real time.

A soft armband that lets you steer a robot while you sprint on a treadmill or bob on rough seas sounds like science fiction.

Arduino announced it has collaborated with M5Stack to develop the new compact and powerful Nesso N1 IoT development kit. This ...

Just about every “getting started with microcontrollers” kit, Arduino or otherwise, includes an ultrasonic distance sensor ...

It’s launching in China first with improved 4K video capabilities, faster follow speeds, and better wind resistance. It’s launching in China first with improved 4K video capabilities, faster follow ...

Old radios didn’t have much in the way of smarts. But as digital synthesis became more common, radios often had as much digital electronics in them as RF circuits. The problem is that digital ...

Imagine being able to control a robot just by moving your arm, even if you’re running, riding in a car or being bounced ...

Blind Spot Management System or BSMS is an IoT-based parking safety project built to help drivers and lot controllers detect blind spot risks in real time. Drivers often cannot see around sharp turns ...