The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...

Abstract: Human Activity Recognition (HAR) is essential for health monitoring and fall risk assessment, supporting early detection of mobility decline in aging populations. Achieving reliable HAR ...

The human eye can only detect wavelengths in the visible light range, but a new imaging system will let us "see" infrared radiation using smartphones. When you purchase through links on our site, we ...

Emotion is a complex psychophysiological phenomenon elicited by external stimuli, exerting a profound influence on cognitive processes, decision-making, and social behavior. Emotion recognition holds ...

A comprehensive comparative study of deep learning architectures for Human Activity Recognition (HAR) using the UCI-HAR dataset. This research evaluates the performance of CNN-LSTM, attention ...

Humans were born with an extraordinary natural ability, but the rise of smartphones is erasing it before our eyes. White House tells Supreme Court it doesn’t care about the tariff money raised I went ...

Objective: This study investigates the dual-pathway mechanism through which physical activity mitigates problematic smartphone use (PSU) among Chinese college students, examining the mediating role of ...

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 ...

The UK government will consult on police facial recognition before further expanding its use across England, says policing minister Sarah Jones. Speaking during the Labour party annual conference, ...