We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...

Companies talk a lot about retention, engagement, and culture. Employee recognition impacts all three, yet it’s still one of the most underused tools in the workplace. When people know their work is ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

A browser-based application which uses face recognition to display ads in a smarter way, gain customer analytics and to help the blind to understand the emotions of the person near them.

Abstract: A comprehensive analysis of facial emotion recognition systems utilizing Python and OpenCV is provided, focusing on methodologies, techniques, and algorithms for face detection, feature ...