IEEE

TSARDC-Net: A Temporal–Spatial Anisotropic Network for Human Activity Recognition Using 3-D Radar Data Cube

Abstract: The application of the 3-D radar data cube (RDC), which integrates time, distance, and Doppler frequency information for accurate human activity recognition (HAR), has attracted much recent ...
Microsoft

SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations

Empathy is increasingly recognized as a key factor in human–AI communication, yet conventional approaches to “digital empathy” often focus on simulating internal, human like emotional states while ...
UPI

Preteen smartphone use linked to depression, obesity, lack of sleep

Dec. 1 (UPI) --A new study by the American Academy of Pediatrics finds preteens who own smartphones and use them regularly are at greater risk of depression, obesity and insufficient sleep. The ...
Bloomberg L.P.

Singapore to Curb Students’ Smartphone Use During School Hours

Singapore will bar the use of smartphones and smartwatches in secondary schools starting in January, as countries debate how to curb children’s access to digital devices. The move aims to cultivate ...
IEEE

Human Activity Recognition From Radar Signals Based on FBSE-EWT and Quantum Convolution Neural Network

Abstract: Frequency-modulated continuous wave (FMCW) radar signals reflected from the human activities are analyzed to enable accurate recognition and classification, forming the basis for activity ...