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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ahyun Lee Joo-Haeng Lee Jaehong Kim Human Robot Interaction Lab. ETRI Computer Software Korea University of Science and Technology

We present a movable spatial augmented reality (SAR) system that can be easily installed in a user workspace. The proposed system aims to dynamically cover a wider projection area using a portable projector attached to a simple robotic device. It has a clear advantage than a conventional SAR scenario where, for example, a projector should be installe1d with a fixed projection area in the workspace. In the previous research [1], we proposed a data-driven kinematic control method for a movable SAR system. This method targets a SAR system integrated with a user-created robotic (UCR) device where an explicit kinematic configuration such as CAD model is unavailable. Our contribution in this paper is to show the feasibility of the data-driven control method by developing a practical application where dynamic change of projection area matters. We outline the control method and demonstrate an assembly guide example using a casually installed movable SAR system.

关键词： Kinematics Assembly Robots Joints Splines (mathematics) Augmented reality Design automation

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Hear me Flying! Does Visual Impairment Improve Auditory Display Usability during a Simulated Flight?

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Procedia Manufacturing 2015年 3卷 5237-5244页

作者： Valéry, Benoît Peysakhovich, Vsevolod Causse, Mickaël The Aeronautical Computer Human Interaction Lab French Civil Aviation University (ENAC). 7 av. Edouard-Belin 31055 Toulouse France Aeronautics and Space Center – French Aerospace Engineering School (ISAE). 10 avenue Edouard-Belin 31055 Toulouse France

Soniﬁcation refers to systems that convey information into the non-speech audio modality [1]. This technique has been largely invested in developing guidance systems for visually impaired individuals. In 2008, more than 140 systems of this type used in various application areas were referenced [2]. In aeronautics, such a system –namely the Sound Flyer– is currently used by visually impaired pilots in real ﬂight context to control the aircraft attitude. However, it is unclear if this system would be acceptable for sighted individuals. Indeed, early visual deprivation leads to compensatory mechanisms which often result in better auditory attentional skills [7,8]. In the present study we assessed this issue. Two groups of pilots (blind vs. sighted) took part in a ﬂight simulator experiment. They were all blindfolded to avoid potential visual information acquisition (i.e. some blind individuals had residual visual capacities). Participants had to perform successive aircraft maneuvers on the sole basis of auditory information provided by the sound flyer. Maneuvers difﬁculty varied with the number of parameters to apply: easy (none), medium (one: pitch or bank) or hard (two: pitch and bank). The Sound Flyer generated a pure tone (53 dB SPL) modulated as a function of pitch (tonal variation) and bank (inter-aural and rhythmic variations). We assessed ﬂight performance along with subjective (NASA-TLX) and neurological (irrelevant auditory-probe technique;[9]) measures of cognitive workload. We hypothesized that the automatic cerebral reaction to deviant auditory stimuli (10% “ti” among 90% “ta”;56db SPL) would be affected by the difﬁculty [10,11] and participants’ auditory attention. Preliminary data analyses revealed that blind and sighted participants reached target-attitudes with good accuracy (mean error of 2.04°). Globally, subjective cognitive workload and brain responses to the auditory probe were inﬂuenced by the difﬁculty of the maneuver but not by the visual impai

关键词： aeronautics Auditory display irrelevant-probe technique mental workload usability

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P-31: Visual Fatigue Assessment and Modeling Based on ECG and EOG Caused by 2D and 3D Displays

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SID Symposium Digest of Technical Papers 2016年第1期47卷

作者： Xinpan Yang Danli Wang Haichen Hu Kang Yue Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Institute of Software Chinese Academy of Sciences Beijing China

Three-dimensional (3D) displays become more and more popular in many fields, because they can provide amazing visual effects. However, visual fatigue as one of the critical factors has seriously impeded the wide range of applications of 3D technology. Electrocardiograph (ECG) and electrooculogram (EOG) have been widely used for monitoring visual fatigue. In this paper, one more objective and effective visual fatigue evaluation model is proposed. Subjective scores (SS), heart rates (HR), blink frequency (BF), Sympathetic activity, Vagal activity, Sympathetic-vagal ratio (a measure of autonomic balance), Average of NN intervals (NN-MEAN) and Standard deviation of NN intervals (SDNN) of all subjects were collected to analyze the change of visual fatigue during the continuous viewing 3D/2D movie. The results showed that SS, HR, BF, Sympathetic activity and SDNN all increase with visual fatigue while NN-MEAN and Vagal activity decrease. As shown by the result of subjective scoring, the visual fatigue has an overall trend of increasing when viewing both 2D and 3D videos and it is higher in 3D condition than in 2D. Based on the results above, two models were built to predict visual fatigue from above indicates during continuous viewing 2D and 3D video processes respectively. The performance of the models makes a good prediction of visual fatigue.

关键词： Visual fatigue Modeling ECG EOG Sympathetic activity Vagal activity

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Crossing HCI and health: Advancing health and wellness technology research in home and community settings 33

Crossing HCI and health: Advancing health and wellness techn...

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33rd Annual CHI Conference on human Factors in Computing Systems, CHI EA 2015

作者： Lennon, Marilyn Baillie, Lynne Hoonhout, Jettie Robertson, Judy Fitzpatrick, Geraldine Mobiquitous Lab Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Interactive and Trustworthy Technologies Group Glasgow Caledonian University Glasgow United Kingdom Experiences Research Department Philips Research Netherlands Digital Education Edinburgh University Edinburgh United Kingdom Head of Human Computer Interaction Group Vienna University of Technology Vienna Austria

ISBN: (纸本)9781450331463

The ubiquity of mobile technology and advances in wearable health and well-being technologies offer exciting opportunities for technology supported home and community care. But are we ready for digitally enabled self-care? How can the CHI community share best practices and methods in order to continue to advance research that crosses methodological and cultural boundaries between Health and HCI? This workshop will bring together key researchers working in and across both HCI and Health to share these existing challenges and opportunities for digital health research and practice and to continue to build capacity in the crossings between HCI and health.

关键词： human computer interaction

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Kinect unbiased

Kinect unbiased

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作者： Martinez, Manuel Stiefelhagen, Rainer Computer Vision for Human-Computer Interaction Lab Vincenz-Priessnitz-Str. 3 Karlsruhe76131 Germany

ISBN: (纸本)9781479957514

Since its release, Kinect has been the de facto standard for low-cost RGB-D sensors. An infrared laser ray shot through an holographic diffraction grating projects a fixed dot pattern which is captured using an infrared camera. The pseudorandom pattern ensures that a simple block matching algorithm suffices to provide reliable depth estimates, allowing a cost-effective implementation. In this paper, we analyze the software limitations of Kinect's method, which allows us to propose algorithms that provide better precision. First, we analyze the dot pattern: we measure its pincushion distortion and its effect on the dot density, which is smaller towards the edges of the image. Then, we analyze the behavior of Block Matching algorithms, we show how Kinect's Block Matching implementation is;in general;limited by the dot density of the pattern, and a significant spatial bias is introduced as a result. We propose an efficient approach to estimate the disparity of each dot, allowing us to produce a point cloud with better spatial resolution than Block Matching algorithms. © 2014 IEEE.

关键词： Cost effectiveness

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3D model-based continuous emotion recognition

3D model-based continuous emotion recognition

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Conference on computer vision and Pattern Recognition (CVPR)

作者： Hui Chen Jiangdong Li Fengjun Zhang Yang Li Hongan Wang Beijing Key Lab of Human-computer Interaction Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Lab of Computer Science Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467369657

We propose a real-time 3D model-based method that continuously recognizes dimensional emotions from facial expressions in natural communications. In our method, 3D facial models are restored from 2D images, which provide crucial clues for the enhancement of robustness to overcome large changes including out-of-plane head rotations, fast head motions and partial facial occlusions. To accurately recognize the emotion, a novel random forest-based algorithm which simultaneously integrates two regressions for 3D facial tracking and continuous emotion estimation is constructed. Moreover, via the reconstructed 3D facial model, temporal information and user-independent emotion presentations are also taken into account through our image fusion process. The experimental results show that our algorithm can achieve state-of-the-art result with higher Pearson's correlation coefficient of continuous emotion recognition in real time.

关键词： Three-dimensional displays Shape Training Solid modeling Emotion recognition Robustness Image fusion

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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026

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The Lancet Global Health 2023年第3期11卷 e385-e413页

作者： Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R

Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided

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Exploiting colour information for better scene text recognition 25

Exploiting colour information for better scene text recognit...

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25th British Machine vision Conference, BMVC 2014

作者： Fraz, Muhammad Sarfraz, M. Saquib Edirisinghe, Eran A. Department of Computer Science Loughborough University Loughborough United Kingdom Computer Vision for Human Computer Interaction Lab. Karlsruhe Institute of Technology Karlsruhe Germany

This paper presents an approach to text recognition in natural scene images. The main contribution of this paper is the efficient exploitation of colour information for the identification of text regions in the presence of surrounding noise. We propose a pipeline of image processing operations involving the bilateral regression for the identification of characters in the images. A pre-processing step has been proposed to increase the performance of bilateral regression based character identification. The proposed method segments the characters so well that a combination of an off the shelf feature representation and classification technique achieves state-of-the-art character recognition performance. The capability of the framework is further extended for word recognition where a basic string matching criterion is applied to match recognized strings against a lexicon to eliminate errors that occur due to inaccuracies in character classification. We performed extensive experiments to evaluate our method on challenging datasets (Chars74K, ICDAR03, ICDAR11 and SVT) and results show that the proposed method superseded the existing state-of-the-art techniques. © 2014. The copyright of this document resides with its authors.

关键词： Image processing

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Laser origami: Laser-cutting 3D objects

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interactions 2014年第2期21卷 36-41页

作者： Mueller, Stefanie Kruck, Bastian Baudisch, Patrick Human Computer Interaction Lab at Hasso Plattner Institute Germany IT -systems engineering at the Hasso Plattner Institute Germany Computer Science At Hasso Plattner Institute Germany

The article discusses how LaserOrigami allows users to quickly create 3D structures that do not require manual assembly. LaserOrigami bends the workpiece by distributing the heat over a larger surface. By moving the workpiece away from the laser, it defocuses the laser. This distributes the laser's heat over a larger region. In addition, LaserOrigami further distributes the laser's heat by repeatedly running the laser back and forth over the region to be bent. LaserOrigami modifies focus by moving the cutting table up and down. LaserOrigami offers two types of interfaces. The first one is a traditional CAD-style interface, which researchers created as a master shape library for Microsoft Visio. The key idea behind LaserOrigami is that it achieves three-dimensionality by bending the workpiece. LaserOrigami accomplishes this by heating selected regions of the workpiece until they turn compliant and bend under the forces of gravity.

关键词： computer aided design

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Total cluster: A person agnostic clustering method for broadcast videos 14

Total cluster: A person agnostic clustering method for broad...

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9th Indian Conference on computer vision, Graphics and Image Processing, ICVGIP 2014

作者： Tapaswi, Makarand Parkhi, Omkar M. Rahtu, Esa Sommerlade, Eric Stiefelhagen, Rainer Zisserman, Andrew Computer Vision for Human Computer Interaction Karlsruhe Institute of Technology Germany Visual Geometry Group Department of Engineering Science University of Oxford United Kingdom Center for Machine Vision Research University of Oulu Finland

ISBN: (纸本)1595930361

The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we explore the extent to which faces can be clustered automatically without making an error. This is a very challenging problem given the variation in pose, lighting and expressions that can occur, and the similarities between different people. The novelty we bring is three fold: first, we show that a form of weak supervision is available from the editing structure of the material - the shots, threads and scenes that are standard in edited video;second, we show that by first clustering within scenes the number of face tracks can be significantly reduced with almost no errors;third, we propose an extension of the clustering method to entire episodes using exemplar SVMs based on the negative training data automatically harvested from the editing structure. The method is demonstrated on multiple episodes from two very different TV series, Scrubs and Buffy. For both series it is shown that we move towards our goal, and also outperform a number of baselines from previous works. Copyright is held by the authors.

关键词： Cluster analysis

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