Human neurophysiology encompasses the intricate study of brain activity, cognition, and behavior. Recent advancements in neuroimaging and recording techniques, such as EEG, fNIRS, fMRI, and MEG, ...

Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...

Abstract: Nowadays, human activity recognition plays an essential role in the application of human-computer interaction. Comprehensive systems, however, mostly rely on wearables, video cameras, and ...

An E.P.A. site listing the causes of climate change no longer includes the main one: human activity. By Lisa Friedman The Environmental Protection Agency has quietly removed the fact that human ...

The 2025 human washing machine bears only a slight resemblance to that Sanyo prototype, and uses technology unheard of even a few years ago. At its core is its microbubbles system, something that ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...

Abstract: Existing Zero-Shot Learning (ZSL) approaches for sensor-based Human Activity Recognition (HAR) often rely on external semantic information—such as attribute annotations or textual ...

Robotics has come a long way in the last decade, going from rare novelties to everyday helpers doing everything from vacuuming homes to performing intricate surgeries. And if you ask Assistant ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.