AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

A PyTorch implementation of "Hierarchical Deep Temporal Models for Group Activity Recognition" (CVPR 2016). This repository reproduces and extends the baselines described in the paper and provides ...

Abstract: Recent advances in wireless sensing have positioned Wi-Fi Channel State Information (CSI) as a promising modality for human activity recognition (HAR), offering a cost-effective and ...

Abstract: This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques. We propose a ...

Trevis Williams was arrested after facial recognition identified him as a possible match for a suspect. “In the blink of an eye, your whole life could change,” he said. By Liam Stack Good morning.