Human–robot collaboration (HRC) is increasingly prevalent across various industries, promising to boost productivity, efficiency, and safety. As robotics technology advances and takes on more complex tasks traditionally performed by humans, the nature of work and the demands on workers are evolving. This shift emphasizes the need to critically integrate human factors into these interactions, as the effectivenes...
Multi-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by exploring the benefits of a low-level sensor fusion approach that combines grayscale and neuromorphic vision sensor (NVS) data. We first generate a custom dataset using...
In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different algorithms: a violent action detection system, which recognizes violent behaviors between passengers, a violent object detection system, and a lost items detection sy...
A capacidade de autorregulação dos processos sociais e individuais é necessária na adaptação aos desafios ambientais (stress, procrastinação, relaxamento, atenção, subir escadas, escalar montanhas, etc.) e desafios sociais (comunicação, apresentação, exposição nas redes sociais, gestão de conflitos etc.), tornando-se indispensável na atual sociedade hiper-tecnonológica e hiper-estimulante. Em termos neurofisiol...