By Nehru OdehIbrahim Bilau, a doctoral candidate at the Georgia Institute of Technology, whose work spans science, product innovation and human-centred technology, is a researcher with a ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Abstract: In recent years, human detection and tracking have become crucial in military, search and rescue, and law enforcement agencies. Using machine learning techniques such as two-dimensional ...

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...

New facial-recognition tools being tested at Orlando International Airport could soon be keeping track of travelers at departure gates across the country. By Christine Chung Reporting from Orlando, ...

Abstract: Human activity recognition (HAR) is an innovative technology that leverages sensors and computer systems to monitor and analyze human activities across various environments and workspaces.

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 ...

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...

Introduction: Advancements in sensing technologies have enabled the integration of inertial sensors, such as accelerometers and gyroscopes, into everyday devices like smartphones and wearables. These ...

Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The ...