This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates ...

This study aims to comprehensively analyze and classify the badminton players’ swing actions by combining the theoretical frameworks of quantum mechanics and machine learning. A badminton stroke ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

With STMicroelectronics's AIoT Craft, you can leverage advanced edge AI features integrated in the company’s smart sensors, using the machine-learning core (MLC) engine embedded in many MEMS inertial ...

Explore how smartphone sensors and fusion use the accelerometer, gyro, GPS, and camera to power smoother navigation, motion tracking, and camera‑powered apps in everyday life. Pixabay, JESHOOTS-com ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...