In the ever-evolving landscape of computer vision (CV), human-computer interaction has
emerged as a ground-breaking method. In dynamic scenarios where instant analysis is …

The emotional context of a given environment can profoundly influence an individual's
feelings and responses. Nonetheless, current emotion recognition methodologies primarily …

Human emotions recognization contributes to the development of human-computer
interaction. The machines understanding human emotions in the real world will significantly …

This paper extends a previous conference publication that proposed a real-time task
scheduling framework for criticality-based machine perception, leveraging image resizing as …

In human-machine teaming, machine capability to automatically check human teammates
for their Situation Awareness (SA) will not only improve human-machine teaming …

Real-time image capture using Internet of Things (IoT) cameras plays an important part in
data collection for security and public safety applications. However, relying primarily on …

This research revolutionizes real-time video analysis by seamlessly integrating emotion,
age, gender, and object detection in each frame of a live video feed. The framework …

Human emotions demonstrate high correlations with certain events that consist of the
interaction of objects, and are usually constrained by particular scenes. In this paper, we …

For human-centered design, which has been focused on the development of artificial
intelligence since the beginning, it is important to recognize unstructured data through …

We introduce a novel framework for emotional state detection from facial expression
targeted to learning environments. Our framework is based on a convolutional deep neural …