Zobrazeno 1 - 10
of 1 324
pro vyhledávání: '"Gaze estimation"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
This research report introduces a learning system designed to detect the object that humans are gazing at, using solely visual feedback. By incorporating face detection, human attention prediction, and online object detection, the system enables the
Externí odkaz:
https://doaj.org/article/0fcbfb4c24814a94abddd8d5a38aedce
Autor:
Matteo Lavit Nicora, Pooja Prajod, Marta Mondellini, Giovanni Tauro, Rocco Vertechy, Elisabeth André, Matteo Malosio
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Introduction: In this work we explore a potential approach to improve human-robot collaboration experience by adapting cobot behavior based on natural cues from the operator.Methods: Inspired by the literature on human-human interactions, we conducte
Externí odkaz:
https://doaj.org/article/f145a86c0f5e47f0b5f7337a84ada0db
Publikováno v:
IEEE Access, Vol 12, Pp 104928-104937 (2024)
Gaze estimation significantly enhances user interfaces, road safety, accessibility for the disabled, and consumer behavior analysis. Traditional methods depend on high-resolution images and ideal conditions, neglecting low-resolution scenarios. We pr
Externí odkaz:
https://doaj.org/article/d06d3a38c6434e4b8a8d233ba92e7998
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 56-65 (2024)
Gaze estimation, as a technique that reflects individual attention, can be used for disability assistance and assisting physicians in diagnosing diseases such as autism spectrum disorder (ASD), Parkinson’s disease, and attention deficit hyperactivi
Externí odkaz:
https://doaj.org/article/91d7472b87394a6dae53068bec623eff
Autor:
Dmytro Katrychuk, Oleg V. Komogortsev
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9586 (2024)
Data augmentation is commonly utilized to increase the size and diversity of training sets for deep learning tasks. In this study, we propose a novel application of an existing image generation approach in the domain of realistic eye images that leve
Externí odkaz:
https://doaj.org/article/14012ea28aaa46e49c1317a84d89a354
Autor:
Sangwook Sim, Changgyun Kim
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 400 (2024)
Advanced Driver Assistance Systems, such as Forward Collision Warning and Lane Departure Warning, play a crucial role in accident prevention by alerting drivers to potential hazards. With the advent of fully autonomous driving technology that require
Externí odkaz:
https://doaj.org/article/412d8481fabe4442850aae8aa25b7656
Autor:
Lucas Falch, Katrin Solveig Lohan
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
This paper presents a novel webcam-based approach for gaze estimation on computer screens. Utilizing appearance based gaze estimation models, the system provides a method for mapping the gaze vector from the user’s perspective onto the computer scr
Externí odkaz:
https://doaj.org/article/3d6b81f984d845e7b3f5b3253ee31c66
Autor:
Chao-Ming Wang, Wei-Chih Hsu
Publikováno v:
Sensors, Vol 24, Iss 16, p 5155 (2024)
The impact of global population aging on older adults’ health and emotional well-being is examined in this study, emphasizing innovative technological solutions to address their diverse needs. Changes in physical and mental functions due to aging,
Externí odkaz:
https://doaj.org/article/05f86d8d746147ffae4eec1a5f36b1d3
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5334 (2024)
Recent advancements in deep learning have enabled gaze estimation from images of the face and eye areas without the need for precise geometric locations of the eyes and face. This approach eliminates the need for complex user-dependent calibration an
Externí odkaz:
https://doaj.org/article/70afb6861d2343599280ba131ad83560
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13974-13988 (2023)
Improving the efficiency of human-computer interaction is one of the critical goals of intelligent aircraft cockpit research. The gaze interaction control method can vastly reduce the manual operation of operators and improve the intellectual level o
Externí odkaz:
https://doaj.org/article/9488186baf7f4aaea0413cc5a39ed724