Abstract: The changing times in the music recommendation systems have constituted great advances on an AI-powered dynamic data sourcing. The proposed work called “Emotion-driven Music Recommendation ...
Shenzhen Bi’an Mind Technology, founded in 2021, develops emotion recognition algorithms and smart wearable tech. The company combines physiological ...
Abstract: Image emotion recognition aims to analyze and understand the emotions conveyed by images. Due to the high similarity of features between different emotion categories, the model is prone to ...
Abstract: Given the wide range of facial expressions, it can be challenging to infer emotions from photos of people. Prior studies on the classification of emotions from facial photos using deep ...
Abstract: Facial emotion detection is one of the great steps in the world of artificial intelligence where machines are able to show human emotions with facial detection. The real time system for ...
Abstract: The objective of this work is to present a music recommendation system that personalises the suggested songs by recognising emotions from speech. The system leverages emotion extraction from ...
Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
Abstract: Multimodal Emotion Recognition (MER) is a fastdeveloping area that combines various sources of data like facial, speech, physiological, and text data to better recognize human emotions. MER ...
Abstract: This research work presents a deep learning method using the Convolutional Neural Network (CNN) for automated lung image classification based on Computer Tomography (CT) scan datasets. The ...
Abstract: There are about 1.3 billion people with disabilities in the world, including those who are blind and deaf, yet they still face many obstacles when it comes to participating in educational ...