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Authors = Steve Wheeler

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39 pages, 11279 KiB  
Article
Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention—A Survey
by Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David Fletcher, Steve Maddock and Garry Bosworth
Sensors 2022, 22(12), 4324; https://doi.org/10.3390/s22124324 - 7 Jun 2022
Cited by 25 | Viewed by 10090
Abstract
Railway networks systems are by design open and accessible to people, but this presents challenges in the prevention of events such as terrorism, trespass, and suicide fatalities. With the rapid advancement of machine learning, numerous computer vision methods have been developed in closed-circuit [...] Read more.
Railway networks systems are by design open and accessible to people, but this presents challenges in the prevention of events such as terrorism, trespass, and suicide fatalities. With the rapid advancement of machine learning, numerous computer vision methods have been developed in closed-circuit television (CCTV) surveillance systems for the purposes of managing public spaces. These methods are built based on multiple types of sensors and are designed to automatically detect static objects and unexpected events, monitor people, and prevent potential dangers. This survey focuses on recently developed CCTV surveillance methods for rail networks, discusses the challenges they face, their advantages and disadvantages and a vision for future railway surveillance systems. State-of-the-art methods for object detection and behaviour recognition applied to rail network surveillance systems are introduced, and the ethics of handling personal data and the use of automated systems are also considered. Full article
(This article belongs to the Special Issue Unusual Behavior Detection Based on Machine Learning)
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14 pages, 1131 KiB  
Review
Instagram and WhatsApp in Health and Healthcare: An Overview
by Maged N. Kamel Boulos, Dean M. Giustini and Steve Wheeler
Future Internet 2016, 8(3), 37; https://doi.org/10.3390/fi8030037 - 26 Jul 2016
Cited by 182 | Viewed by 50707
Abstract
Instagram and WhatsApp are two social media and networking services introduced in 2010. They are currently subsidiaries of Facebook, Inc., California, USA. Using evidence from the published literature and case reports indexed in PubMed and other sources, we present an overview of the [...] Read more.
Instagram and WhatsApp are two social media and networking services introduced in 2010. They are currently subsidiaries of Facebook, Inc., California, USA. Using evidence from the published literature and case reports indexed in PubMed and other sources, we present an overview of the various applications of Instagram and WhatsApp in health and healthcare. We also briefly describe the main issues surrounding the uses of these two apps in health and medicine. Full article
(This article belongs to the Special Issue e-Health)
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11 pages, 49 KiB  
Article
Learning Space Mashups: Combining Web 2.0 Tools to Create Collaborative and Reflective Learning Spaces
by Steve Wheeler
Future Internet 2009, 1(1), 3-13; https://doi.org/10.3390/fi1010003 - 13 Jul 2009
Cited by 44 | Viewed by 19028
Abstract
In this paper, Web 2.0 open content mashups or combinations are explored. Two case studies of recent initial teacher training programmes are reviewed where blogs and wikis were blended to create new virtual learning spaces. In two separate studies, students offer their views [...] Read more.
In this paper, Web 2.0 open content mashups or combinations are explored. Two case studies of recent initial teacher training programmes are reviewed where blogs and wikis were blended to create new virtual learning spaces. In two separate studies, students offer their views about using these tools, and reflect on the strengths and weaknesses of this approach. There is also discussion about aggregation of content and a theorization of how community and personal spaces can create tension and conflict. A new ‘learning spaces’ model will be presented which aids visualization of the processes, domains and territories that are brought into play when content and Web 2.0 tools are mashed up within the same space. Full article
(This article belongs to the Special Issue Data Mashups)
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