Low-cost, wearable sensors could increase access to care for patients with Parkinson's disease. New machine-learning approaches and a baseline of data from healthy older adults improve the accuracy of ...

Researchers have built a data-driven framework using principal component analysis and DBSCAN clustering to standardize and ...

A new framework fuses an unsupervised machine learning ensemble with a lightweight blockchain to detect and confirm ...

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 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 ...

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.

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 ...

Modern autonomous drones are increasingly combining cameras, LiDAR, positioning systems, inertial measurements, and ...