Recent Advances in Computer Vision for Assisted Living
摘要截稿:
全文截稿: 2024-09-15
影响因子: 3.103
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
• 小类 : 计算机:软件工程 - 3区
• 小类 : 计算机:理论方法 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 光学 - 3区
Overview
The percentage of persons who require healthcare support and a secure environment is unquestionably rising in our aging culture. As a result, there is an increasing need for technological solutions for prevention, diagnosis, and rehabilitation. These solutions not only support clinicians but also empower patients to take control of their own health and welfare. Such solutions are ideally suited for computer vision. Indeed, significant progress has been achieved in the automatic and trustworthy recognition of image or video content during the past two decades, including face, object, and motion recognition as well as gesture and activity detection and recognition.
Non-intrusive visual sensors may assess and track the physical state of the human body in healthcare to give clinicians real-time feedback and/or support engaging and interesting rehabilitation activities. Consequently, the use of computer vision, pattern recognition, and machine learning techniques are of extreme importance for assisted living solutions.
The aim of the proposed special issue is to promote research, reflect the most recent advances, and provide a stage for worldwide researchers from computer vision, artificial intelligence, machine learning, pattern recognition for assisted living solutions, with an emphasis on the following aspects, but certainly not limited to:
Computer vision for assisted living
Machine learning and deep learning for assisted living
Gesture and action recognition
Gait analysis
Human behavior analysis
Daily living activity recognition
Fall detection and prevention
Users privacy preferences in context-aware solutions
Guest editors:
Imad Rida, PhDUniversity of Applied Sciences for Technology Compiegne, Compiegne, France(Machine learning, pattern recognition, computer vision)
Francisco Florez-Revuelta, PhDUniversity of Alicante, Alacant, Spain(Intelligent environments, computer vision, assisted living, privacy)
Manuscript submission information:
The IMAVIS’s submission system (Editorial Manager) will be open for submissions to our Special Issue from November 15th, 2023. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: RADICAL” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com)
Important Dates:
Submission Open Date: November 15th, 2023
Final Manuscript Submission Deadline: May 15th, 2024
Editorial Acceptance Deadline: September 15th, 2024