New research has transformed simple device vibrations into 'tactons'—structured patterns that can communicate emotions, support social interaction, and store personal memories. The study shows that ...

This project presents an innovative system for song recommendation using a chatbot integrated with facial expression analysis and sentiment analysis. By leveraging generative AI, the Gemini API, and ...

Abstract: Speech emotion recognition focuses on developing a Speech Emotion Recognition (SER) system detects human emotions from speech by analyzing vocal traits. Using Convolutional Neural Networks ...

A complete deep learning-based action recognition system with ResNet101 encoder, LSTM decoder with spatial attention, FastAPI backend, and web-based frontend. The system recognizes 40 different human ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Mental disorders have a significant impact on many areas of people’s life, particularly on affective regulation; thus, there is a growing need to find disease-specific biomarkers to improve early ...

Abstract: This paper presents a lightweight multimodal deep learning framework for real-time emotion recognition on resource-constrained companion robots, exemplified by Zenbo Junior II. The framework ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...