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 ...

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 ...

Abstract: In recent years, deep learning has been widely used for human activity recognition (HAR) based on wearable sensor data due to its excellent performance. However, deep learning approaches ...

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 ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.

The UK’s human rights regulator has received permission to intervene in an upcoming judicial review examining whether the London Metropolitan Police’s use of live facial recognition (LFR) complies ...

The sight of a whale shark, the largest fish alive today, leaves most people humbled. Its slow, graceful movements and gentle nature often make them symbols of the ocean’s mystery. Yet behind this ...

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 ...

Two new studies add to the evidence that human activity, from fishing to urban development, is driving the evolution of wild animals. By Emily Anthes Call it the case of the incredible shrinking cod.