Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial landmarks. This capability underpins emotional analysis and the development of ...

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user interaction and reduces mechanical dependency on physical controllers.

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

Hello, today I am going to review the HUSKYLENS 2, released in October 2025. It is the next generation of HUSKYLENS, an AI vision sensor equipped with a Kendryte K230 dual-core RISC-V SoC with a 6 ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos ...

Abstract: In this research paper, we assess the efficacy of different Convolutional Neural Network (CNN) models, which are powerful tools for solving the image recognition problem. More specifically, ...

Facial Expression Recognition (FER) for Mental Health Detection applies AI models like Swin Transformer, CNN, and ViT for detecting emotions linked to anxiety, depression, PTSD, and OCD. It focuses on ...

This course covers object tracking and motion detection techniques in computer vision, ideal for those interested in video analytics and surveillance applications. The field of Computer Vision and ...

Abstract: The FER python library used in tandem with the OpenCV python library can be used to detect emotions in humans captured both in video and in images. The motivation of this work could be used ...