Abstract: Human activity recognition from multimodal body sensor data has proven to be an effective approach for the care of elderly or physically impaired people in a smart healthcare environment.

Abstract: Given the aging population, healthcare systems need to be established to deal with health issues such as injurious falls. Wearable devices can be used to detect falls. However, most wearable ...

Human Activity Recognition (HAR) is an important application of machine learning and pattern recognition that focuses on identifying human activities using sensor data. Modern smartphones and wearable ...

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...

Paylocity expands workforce software through the Aidora acquisition, adding AI-powered leave management capabilities while ...

Yet beyond the headlines and bold predictions, many organizations are still trying to understand what practical AI adoption ...

People live longer, but families grow smaller. A rising number could reach the end of life, unable to make their own medical ...

AI’s growing use in investigations raises new legal challenges, from verifying evidence authenticity to constitutional rights ...

High-octane stock traders in London get wrapped up in a greenwashing scandal as they pursue riches from a green-tech firm IPO ...

Cloudflare AI bot controls now divide crawlers into Search, Agent, and Training categories, letting publishers independently ...

Bad news: the Philippines will be slow in adopting artificial intelligence (AI) and its improvements – artificial general intelligence (AGI) and artificial general superintelligence (ASI). Good news: ...

As genome editing therapies move through clinical trials to regulatory approval, scientists continue the quest for the holy ...