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Special issue on content-based multimedia indexing in the era of artificial intelligence

Stevan Rudinac, Jenny Benois-Pineau, Stephane Marchand-Maillet
2021 Multimedia tools and applications  
In addition, they demonstrate that the recent breakthroughs in deep learning have further reinforced synergistic collaboration between multimedia and related fields, from computer vision and information  ...  Recent advances in artificial intelligence (AI) and, in particular, deep learning have given a new boost to practically every aspect of multimedia research.  ...  The special issue features an extended version of the best CBMI'19 paper titled "Learning accurate personal protective equipment detection from virtual worlds" by Marco Di Benedetto, Fabio Carrara, Enrico  ... 
doi:10.1007/s11042-021-10923-y fatcat:3pb4xekvuvatdifm33dkbw7bzy

Application of Intelligent Technologies on Response to Covid-19 and Occupational Safety in Healthcare Workers

Vida Zaroushani, Farahnaz Khajehnasiri
2020 Health Scope  
The next intelligent technology is 3D printing, which has a clear role in protecting healthcare workers during the COVID-19 pandemic facilitating the production of personal protective equipment, especially  ...  Using virtual reality and holography as other intelligent technologies, academic departments have rapidly pivoted toward digital and remote learning.  ... 
doi:10.5812/jhealthscope.109604 fatcat:adzxgrduebeb7lvttwx7dhg7tu

Virtual Epidemics as Learning Laboratories in Virtual Worlds

Yasmin B. Kafai, Nina H. Fefferman
2010 Journal of Virtual Worlds Research  
These are not unreasonable expectations given prior experiences with the virtual epidemic Whypox in, a large-scale virtual world with over 2 million youth ages 10-12 years.  ...  This article reviews past research findings and outlines new approaches for students in K-12 education to learn about and with virtual epidemics.  ...  Conclusions Our proposal of virtual epidemics offers a new model for learning in virtual worlds because it leverages particular design features of virtual worlds: real time, personal representation, and  ... 
doi:10.4101/jvwr.v3i2.1888 fatcat:eidi7bwfsnc73dgsmrlkoleare

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Zhao-xia Lu, Peng Qian, Dan Bi, Zhe-wei Ye, Xuan He, Yu-hong Zhao, Lei Su, Si-liang Li, Zheng-long Zhu
2021 Current Medical Science  
In this work, we examine the technical basis of IoT, cloud computing, big data analysis and machine learning involved in clinical medicine, combined with concepts of specific algorithms such as activity  ...  recognition, behavior recognition, anomaly detection, assistant decision-making system, to describe the scenario-based applications of remote diagnosis and treatment collaboration, neonatal intensive  ...  Even if the attacker has strong background knowledge, the owner can protect personal privacy from invasion and can thus improve the efficiency of big data for protecting personal privacy [54] .  ... 
doi:10.1007/s11596-021-2486-z pmid:34939144 pmcid:PMC8693843 fatcat:3g3qpksktjhv5koqs3i7ylco7y

ARZombie: A Mobile Augmented Reality Game with Multimodal Interaction

Diogo Cordeiro, Rui Jesus, Nuno Correia
2015 Proceedings of the 7th International Conference on Intelligent Technologies for Interactive Entertainment  
Augmented reality games have the power to extend virtual gaming into real world scenarios with real people, while enhancing the senses of the user.  ...  As the player moves around the environment, the game will display virtual zombies on the screen if the detected faces are recognized as belonging to the class of the zombies.  ...  There is mobile equipment prepared to analyze and detect whether each person is already infected or not.  ... 
doi:10.4108/icst.intetain.2015.259743 dblp:journals/eetcc/CordeiroJC15 fatcat:bdl4jih2u5fr7nvzwfg7ykbfim

Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World

Sherry-Ann Brown, June-Wha Rhee, Avirup Guha, Vijay U. Rao
2020 Frontiers in Cardiovascular Medicine  
Drones built on artificial intelligence are being used to deliver healthcare equipment, medicines, personal protective equipment, and food, especially to remote areas with high rates of illness with COVID  ...  Cardio-Oncology can learn much from the time of COVID-19.  ... 
doi:10.3389/fcvm.2020.00145 pmid:32923460 pmcid:PMC7456950 fatcat:avotfdjgnbeurg77d6obv6ltvu

Innovation in Response to the COVID-19 Pandemic Crisis

James O. Woolliscroft
2020 Academic Medicine  
Here he considers the implications of exemplary innovations-virtual care, hospital at home, advances in diagnosis and therapy, virtual learning, and virtual clinical learning-for regulators, academic medical  ...  When the pandemic has subsided, the world of academic medicine will have changed.  ...  While the genomic-based tests seem highly accurate, they reflect only the presence or absence of detectable virus in the sample.  ... 
doi:10.1097/acm.0000000000003402 pmid:32282372 pmcid:PMC7188042 fatcat:vavjnam5fze5pboc4v7e5csi2a

A Cyber-Physical Gaming System For Vocational Training

Aparajithan Sivanathan, Scott Mcgibbon, Theodore Lim, James Ritchie, Mohamed Abdel-Wahab
2017 Zenodo  
The domain of stone masonry is presented herein, where its underpinning activities are learning through virtual environments, simulation and role play.  ...  Cyber-physical systems enable new digital ecologies in industrial and workplace lifelong learning.  ...  Sophisticated logic is implemented to prevent trainees from deceiving the system, for example not wearing the appropriate Personal protective equipment (PPE) and trying to make the system to believe it  ... 
doi:10.5281/zenodo.1205613 fatcat:ope7gx4c4jbolmo2itpp7tkttq

Games Methodologies and Immersive Environments for Virtual Fieldwork

K Getchell, A Miller, R Nicoll, R Sweetman, C Allison
2010 IEEE Transactions on Learning Technologies  
and virtual worlds in order to support higher order learning behaviors such as applying, analyzing, evaluating, and creating.  ...  A virtual environment based on real world data has been developed where groups of users are faced with a series of dynamic challenges with which they engage until such time that a certain level of competence  ...  ACKNOWLEDGMENTS This work has been supported by FILTA, the University of St Andrews Fund for Initiatives in Learning, Teaching, and Assessment.  ... 
doi:10.1109/tlt.2010.25 fatcat:osekyrgan5aa5ojnrtzgo3ndqy

Security Risk Assessment System for Detection and Prevention Of Unauthorized Access

Haritha Sajikumar
2020 International Journal of Multidisciplinary in Cryptology and Information Security  
It prevents attackers from accessing critical data and thereby protects the system.  ...  The proposed systemTracePot is a security system designed to detect and counteract unauthorized access to a computer system.  ...  In "A Data-Driven Security Risk Assessment Scheme for Personal Data Protection", a data-driven risk assessment approach for personal data protection is explained.  ... 
doi:10.30534/ijmcis/2020/03932020 fatcat:jn6qnqihszctlpk2gaplib22hq

Detection of Personal Protective Equipment (PPE) Compliance on Construction Site Using Computer Vision Based Deep Learning Techniques

Venkata Santosh Kumar Delhi, R. Sankarlal, Albert Thomas
2020 Frontiers in Built Environment  
The need for personal protective equipment (PPE) is important in this context. Automatic and real-time detection of the non-compliance of workers in using PPE is an important concern.  ...  A data set of 2,509 images was collected from video recordings from several construction sites and this web-based collection was used to train the model.  ...  Providing construction workers with personal protective equipment (PPE) is one such crucial measure.  ... 
doi:10.3389/fbuil.2020.00136 fatcat:mr4uvzegqnckvbefjpfds2l7be


Nisarg Raval, Landon Cox, Animesh Srivastava, Ashwin Machanavajjhala, Kiron Lebeck
2014 Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct  
For example, Tracking-Learning-Detection (TLD) [10] simultaneously tracks the object, learns its appearance and detects it whenever it appears in the video.  ...  Also, the list of sensitive objects differ from person to person. To overcome these limitations, we propose the MarkIt privacy framework whereby users can specify arbitrary secrets.  ... 
doi:10.1145/2638728.2641707 dblp:conf/huc/RavalCSML14 fatcat:pdebdc4bljekvpt5xvdbgtnzrm

Using Computer Vision and Depth Sensing to Measure Healthcare Worker-Patient Contacts and Personal Protective Equipment Adherence Within Hospital Rooms

Junyang Chen, James F. Cremer, Kasra Zarei, Alberto M. Segre, Philip M. Polgreen
2015 Open Forum Infectious Diseases  
We determined the feasibility of using computer vision and depth sensing to detect healthcare worker (HCW)patient contacts to estimate both hand hygiene (HH) opportunities and personal protective equipment  ...  To measure our system's ability to detect HCW-patient contacts, we counted each time a HCW's hands entered a virtual rectangular box aligned with a patient bed.  ...  P.) from GOJO Industries. This work was also supported in part by the University of Iowa Health Care eHealth and eNovation Center. Potential conflicts of interest. All authors: No reported conflicts.  ... 
doi:10.1093/ofid/ofv200 pmid:26949712 pmcid:PMC4757761 fatcat:h5kdhqiaprenhah6yajgjjpkm4

Cybersecurity challenges in energy sector (virtual power plants) - can edge computing principles be applied to enhance security?

Sampath Kumar Venkatachary, Annamalai Alagappan, Leo John Baptist Andrews
2021 Energy Informatics  
With this also comes challenges associated with securing physical systems, data protection and information privacy.  ...  s) enable us to generate, supply and be self-reliant on power while also allows us to supply power to meet the demand through virtual power plants.  ...  Machine learning algorithms are learners, and they learn from the different attack detection techniques employed for intrusion detection.  ... 
doi:10.1186/s42162-021-00139-7 pmid:35224445 pmcid:PMC8010494 fatcat:x6r4viitbfekndinlbbhkujhne

Application of Industry 4.0 Concept to Health Care

Lenka Lhotska
2020 Studies in Health Technology and Informatics  
Key technologies and techniques include Internet of Things, big data, artificial intelligence, data integration, robotization, virtual reality, and 3D printing.  ...  Lhotska was supported by the project FV-20696 "Personal health monitoring and assistive systems", funded by the TRIO program of the Ministry of Industry and Trade of the Czech Republic.  ...  The core of the concept is connection of virtual cybernetic world with the world of physical reality.  ... 
doi:10.3233/shti200613 pmid:33087590 fatcat:xursgezzjrberfydr2pbdukgm4
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