In a recent study published in the journal PNAS Nexus, researchers explored using multimodal wearable sensors combined with machine learning to measure real-time fatigue among manufacturing workers.

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

Monitoring and automatically identifying the symptoms of Parkinson’s disease patients can be achieved using just a single soft wearable sensor placed on the back of the hand, according to an ...

Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.

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.

Gas sensors combined with machine learning can rapidly detect pathogens and antimicrobial resistance by analysing microbial VOCs. This could be a faster, cost-effective alternative to conventional ...

The study identifies persistent challenges that limit the adoption and scalability of AI- and IoT-enabled assistive systems.

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 ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.