Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart rate and more. But one thing your Garmin can't measure is plain old physics ...

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing ...

A wearable sensor system combines motion tracking with machine learning to deliver real-time, objective gait assessment, ...

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

With cheap sensors and machine learning, researchers are working to make pre-ignition in hydrogen engines instantly detectable. It will be a significant advance that could make clean transport more ...

Machine vision systems are serving increasingly crucial roles in life and business. They enable self-driving cars, make robots more versatile, and unlock new levels of reliability in manufacturing and ...

Sensor fusion is becoming increasingly popular and more complex in automotive designs, integrating multiple types of sensors into a single chip or package and intelligently routing data to wherever it ...

Sensor fusion combines multiple sensing modalities to improve environmental perception, obstacle avoidance, and safety in autonomous systems. AI-enabled vision and 3D depth sensing are revolutionizing ...