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Impact of built environment design on emotion measured via neurophysiological correlates and subjective indicators: A systematic review
2019
Journal of Environmental Psychology
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This paper, which considers the built environment as one significant component of environmental enrichment, draws together evidence on the impact of the design of interior spaces on human emotion. ...
However, the evidence-base for the neurophysiological impact from environmental enrichment in humans has not been widely examined. ...
Investigations using fMRI and sophisticated modelling in EEG can provide a deeper insight into the neural pathways, networks and structures activated during visual perception and emotional response. ...
doi:10.1016/j.jenvp.2019.101344
fatcat:fda2wiiiofbzfactblk2jemmz4
A Survey on QoE-Oriented VR Video Streaming: Some Research Issues and Challenges
2021
Electronics
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The review in this paper focuses on a comprehensive summary of the current state of quality-of-experience (QoE) technologies applied to VR video streaming. ...
Third, the modeling of QoE for VR video streaming, the QoE-oriented VR optimization problem, and enabling techniques of machine learning for VR video streaming improvement are summarized. ...
quality
2020
CNNConvolutional neural networks CPP-PSNR Craster's parabolic projection peak signal-to-noise ratio ACR
Absolute category rating
BP
Backpropagation
CMP
Cube map
CSV
Comma-separated ...
doi:10.3390/electronics10172155
fatcat:pvpkwg52sff6nf6ximtli7elpa
A Review on Driving Control Issues for Smart Electric Vehicles
2021
IEEE Access
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Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on the environment whilst providing a safer and smoother riding experience. ...
the latter, driving control requires appropriate systems and algorithms to optimize smart vehicle performance, maximize vehicle stability and protection, minimize accident probability, heighten driving comfort ...
The framework utilizes a neural network of back-propagation (BP) optimized for driver behavior by a particle swarm optimization (PSO) algorithm. ...
doi:10.1109/access.2021.3116353
fatcat:prd46jrgsncydbtasfkxia6w3e
166 Attentional capture and oculomotor control
1998
International Journal of Psychophysiology
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which bind neural networks distributed across the visual object-processing pathway in synchronised assembly activities. ...
Numerous neural-network models have been proposed that learn some of these properties from natural-image data, but to our knowledge no model has been able to learn all these properties. ...
doi:10.1016/s0167-8760(98)90166-0
fatcat:7o5vmrk5zvbizd23bmpcbkrs7q
A High-Density EEG Study Investigating VR Film Editing and Cognitive Event Segmentation Theory
2021
Sensors
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On this basis, visual evoked potential (VEP) analysis was performed, and the standardized low-resolution brain electromagnetic tomography algorithm (sLORETA) traceability method was used to analyze the ...
Furthermore, the cognition of event segmentation theory also plays an instructive role in VR editing, with differences mainly focusing on frontal, parietal, and central regions. ...
According to the current research, electrocardiogram (ECG) [1, 8] , functional magnetic resonance imaging (fMRI) [9, 10] , blood pressure (BP), and electroencephalogram (EEG) [11] can be used as assessment ...
doi:10.3390/s21217176
pmid:34770482
pmcid:PMC8586935
fatcat:wyrmurchkvfl7lw5fxuqbbmfau
State of the Art of Audio- and Video-Based Solutions for AAL
2022
Zenodo
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, comfort, security and safety. ...
In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. ...
The model is generated by a Switching Neural Network (SNN). ...
doi:10.5281/zenodo.6390708
fatcat:6qfwqd2v2rhe5iuu5zgz77ay4i
Investigation on the Use of Virtual Reality in the Flipped Teaching of Martial Arts Taijiquan Based on Deep Learning and Big Data Analytics
2022
Journal of Sensors
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Traditional teaching is provided to the control group, and deep learning-based VR-assisted teaching is provided to the study group using the Deep Binary Hashed Convolutional Neural Network (DBH-CNN). ...
This paper intends to investigate the use of virtual reality technology in martial arts education. The architecture of virtual reality based on the deep learning algorithm is suggested. ...
The existing methods like "Recursive Neural Network (RNN), Graph Neural Network (GNN), Back propagation-Neural Network (BP-NN), and Multilayer Neural network (ML-NN)" are compared with the proposed method ...
doi:10.1155/2022/3921842
fatcat:h4uishrkkrd5jprojvkdkqglzy
Transösophageales Interventrikuläres Delay bei Vorhofflimmern und Kardialer Resynchronisation
2013
Biomedical Engineering
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Our gratitude also extends to the Centre for Promotion of Science, as the organizers of Festival of robotics 2012, without which these experiments wouldn't be possible in this extent. ...
Bibliography
Acknowledgement Supported by grants of the Federal Ministry of Education and Research (Germany, 17108X10) and the European Social Fund (100098255). ...
The quality of adaption of a model is assessed based on a comparison between statistical properties of the TS and the model: • Visual comparison between the theoretical ACF of the ARMA model and the empirical ...
doi:10.1515/bmt-2013-4154
pmid:24042832
fatcat:qsbz2z3utva6rery74jfw66pe4
The value of digital imaging in diabetic retinopathy
2003
Health Technology Assessment
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For European countries the cost is £2 per monograph and for the rest of the world £3 per monograph. ...
Visual acuity A measure of how well a person sees distant and close objects. ...
Prospective
study
200 images from
patients with diabetic
retinopathy and 101
images from non-
diabetics with normal
fundi
Evaluation of
the ability of an
artificial neural
network to
detect ...
doi:10.3310/hta7300
fatcat:4qwigarakzdlrbbjotj2fnnyye
MOBILE HEALTH TECHNOLOGIES
[chapter]
2016
The UCLA Anderson Business and Information Technologies (BIT) Project
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He is also a professional member of the British Computer Science. ...
Acknowledgements The author acknowledges the support of the Union Teaching of the Ministry of Education for Smart Aging, the Union Teaching of the Ministry of Education for Medical Electronics in Taiwan ...
, and the valuable comments of the reviewers. ...
doi:10.1142/9789814733564_0009
fatcat:mjcgg26r6vb75c6zd3zftyv2om
Binocular Mirror-Symmetric Microsaccadic Sampling of Hyperacute 3D-Vision
[article]
2021
bioRxiv
pre-print
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Neural mechanisms behind stereopsis, which requires simultaneous disparity inputs from two eyes, have remained mysterious. ...
These results change our understanding of how insect compound eyes work and suggest a general dynamic stereo-information sampling strategy for animals, robots and sensors. ...
We propose a new theory/method based on neurophysiologically feasible cross-correlation computations to estimate object depth by the subsequent neural networks.
IV.1. ...
doi:10.1101/2021.05.03.442473
fatcat:6bxsx3bscffq5pip7mrshcskku
Final Program International Neuropsychological Society 2014 Mid–Year Meeting July 9–11, 2014 Jerusalem, Israel
2014
Journal of the International Neuropsychological Society
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T1-weighted and diffusion tensor images were acquired on a Philips Achieva 3T TX, for all MS patients and 12 of the 27 HC. ...
Volumetric measures were obtained using SPM8 and FA values of WM tracts were calculated after running Tract-based spatial statistics (TBSS) as implemented in FSL. ...
These findings have far reaching consequences both for models of the neural bases of memory and learning and for understanding animal and human behavior. ...
doi:10.1017/s1355617714001003
fatcat:fxr54yuvsnhw5ifqtien2sznb4
Proceedings of the World Molecular Imaging Congress 2021, October 5-8, 2021: General Abstracts
2022
Molecular Imaging and Biology
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Conclusions: An efficient, iterative deconvolution algorithm with a novel resolution subsets-based approach that operates on patient DICOM images has been used for quantitative improvement in MRI clinical ...
The uncertainty caused in the system was modeled as an iterative deconvolution with resolution subsets to denoise and enhance image resolution. ...
Using serial image-based ROI data from 4-48h p.i., prospective Lu-177 dosimetry was estimated assuming complete local absorption of β particles only. ...
doi:10.1007/s11307-021-01693-y
pmid:34982365
pmcid:PMC8725635
fatcat:4sfb3isoyfdhfbiwxfr55gvqym
Neurodegenerative Interplay of Cardiovascular Autonomic Dysregulation and the Retina in Early Multiple Sclerosis
2019
Frontiers in Neurology
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We found a negative linearity of mean GCIPL on group level with increasing disease duration. Three patients fulfilled the criteria of postural orthostatic tachycardia syndrome (POTS). ...
(MSNON) and patients' self-report forms on fatigue, orthostatic and ANS symptoms. ...
The authors thank neuGRID (www.neugrid4you.eu) for computational resources, as well as Jeanette Koht and the MS Research Group at the University of Oslo for critical comments and an inspiring research ...
doi:10.3389/fneur.2019.00507
pmid:31156539
pmcid:PMC6529954
fatcat:3aqb63f6bnaqfl4lydez7hbzzy
The Application of Flexible Areas of Interest to Pilot Mobile Eye Tracking
2020
Sensors
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The proposed Smart Trainer tool might be exploited in order to assess and improve the process of training operators of advanced systems with human machine interfaces. ...
Recent progress in the development of mobile Eye Tracking (ET) systems shows that there is a demand for modern flexible solutions that would allow for dynamic tracking of objects in the video stream. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s20040986
pmid:32059455
pmcid:PMC7071422
fatcat:mlb2nsg2wfbolcybvh2uakixtq
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