posted by organizer: alexandrosandre || 14674 views || tracked by 5 users: [display]

IET CV Journal - CV in Healthcare & AAL 2017 : IET Computer Vision Journal - Special Issue: Computer Vision in Healthcare and Assisted Living

FacebookTwitterLinkedInGoogle

Link: http://digital-library.theiet.org/files/IET_CFP_CV_HEALTH_ASSIS_LIV.pdf
 
When N/A
Where N/A
Submission Deadline Feb 15, 2017
Categories    computer vision   healthcare   active and assisted living   ambient and assisted living
 

Call For Papers

In our ageing society, the proportion of people who need healthcare support and a safe and assistive environment is clearly increasing. Hence, there
is a growing demand for technological solutions for the purpose of prevention, diagnosis and rehabilitation, not only to support clinicians, but also to
enable patients to self-manage their health and wellbeing. Computer Vision is well placed to provide such solutions. In the last decade, enormous
advances have been made with regard to automated and reliable recognition of image or video content, such as face, object and motion recognition,
and gesture and activity recognition. Additionally, the affordability of modern depth sensors, such as the Microsoft Kinect, Asus Xtion Pro live,
PrimeSense Carmine and Leap Motion, represent a huge leap forward, enabling 3D modelling and body pose estimation in real time with low cost and
mostly simple setup solutions. In active and assisted living (AAL), the aim is to develop intelligent environments within which people’s health can be
monitored and assistance can be provided to deliver comfort, safety and eHealth services, among others.

Binary sensors were traditionally deployed, however they are limited in their ability to help with complex scenarios, while visual sensors, either located
in the environment or worn by the person, provide a richer modality to analyse the person’s activities and the environment. In healthcare, non-intrusive
visual sensors may estimate and track the human body’s physical state to provide real-time feedback to clinicians and/or support interactive and
stimulating rehabilitation activities. As such, computer vision, pattern recognition and machine learning techniques are gaining popularity in healthcare
and assisted living solutions. The aim of this Special Issue is to provide a platform for presenting those techniques and applications.

Please see more details and submission instructions at http://digital-library.theiet.org/files/IET_CFP_CV_HEALTH_ASSIS_LIV.pdf.

Related Resources

CSTE--JA, Scopus 2020   2020 The 2nd International Conference on Computer Science and Technologies in Education (CSTE 2020)--JA, Scopus & EI (INSPEC, IET)
ICCV 2021   International Conference on Computer Vision
ICPR-IETBiom-VSaaS 2021   25th ICPR Special Issue on Real-Time Visual Surveillance as-a-Service (VSaaS) for Smart Security Solutions in IET Biometrics
ICRMV--EI, Scopus 2021   2021 The 5th International Conference on Robotics and Machine Vision (ICRMV 2021)--Ei Compendex, Scopus
16th ICRLSH Rome 2021   2021 – 16th International Conference on Research in Life-Sciences & Healthcare (ICRLSH), 10-11 September, Rome
CBDA 2021   2nd International Conference on Big Data
14th ICRLSH September, London 2021   2021 – 14th International Conference on Research in Life-Sciences & Healthcare (ICRLSH), 10-11 September, London
Spinger MMSJ: DL MM healthcare 2020   Deep Learning for Multimedia Healthcare
HBSRA - Eurasia Research 2021   2021 – 18th International Conference on Research in Life-Sciences & Healthcare (ICRLSH), 15-16 October, Lisbon
HBSRA - Eurasia Research 2021   2021 – 19th International Conference on Research in Life-Sciences & Healthcare (ICRLSH), 26-27 October, Dubai