Vulnerable populations and those with special needs are at risk in a *** preparedness and warning information is critical for these groups,and recent events highlight that much work remains to be done. Significant num...
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Vulnerable populations and those with special needs are at risk in a *** preparedness and warning information is critical for these groups,and recent events highlight that much work remains to be done. Significant numbers of any population fail to respond or act upon warnings of imminent disaster the question of how to deliver effective messages to those with perceptual,cognitive,communicative,or learning disabilities is all the more *** the context of disabilities,the application of technical solutions in the form of assistive technologies and accessible information can do much to enhance the communication of lifesaving information,yet there is little in the way of specific guidelines,and research,used by the developers of such *** paper explores the challenges faced by vulnerable populations and discusses required approaches that can lead to effective communication.
High-throughput comparative genomic hybridization arrays have recently been developed to detect DNA copy number (DCN) aberrations. The DCN data from these arrays is often very noisy and thus calls for appropriate deno...
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High-throughput comparative genomic hybridization arrays have recently been developed to detect DNA copy number (DCN) aberrations. The DCN data from these arrays is often very noisy and thus calls for appropriate denoising methods. It has been recognized that a) the physical distances between adjacent probes are not uniform and that b) there are often outliers in the data. Previously proposed denoising methods for DCN data did not consider these two issues at the same time. In this paper, we address the two issues simultaneously in a new wavelet denoising scheme, called rSWTi (robust stationary wavelet transform based denoising with interpolation), which extends the traditional stationary wavelet denoising approach. Empirical results on synthetic data showed that our method outperformed other methods by large margins as measured in the root mean squared error.
This paper presents the results of a panel discussion titled “The Future of HRI,” held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop into grou...
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ISBN:
(纸本)9781595936172
This paper presents the results of a panel discussion titled “The Future of HRI,” held during an NSF workshop for graduate students on human-robot interaction in August 2006. The panel divided the workshop into groups tasked with inventing models of the field, and then asked these groups their opinions on the future of the field. In general, the workshop participants shared the belief that HRI can and should be seen as a single scientific discipline, despite the fact that it encompasses a variety of beliefs, methods, and philosophies drawn from several “core” disciplines in traditional areas of study. HRI researchers share many interrelated goals, participants felt, and enhancing the lines of communication between different areas would help speed up progress in the field. Common concerns included the unavailability of common robust platforms, the emphasis on human perception over robot perception, and the paucity of longitudinal real-world studies. The authors point to the current lack of consensus on research paradigms and platforms to argue that the field is not yet in the phase that philosopher Thomas Kuhn would call “normal science,” but believe the field shows signs of approaching that phase.
Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowe...
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Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowel and consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color regions from an image, and finds a hand region. The system detects a hand without particular cloth in a complex background. We use 14 KMA hand shape as template images, and the system compares hand shape with template images using a correlation coefficient method.
Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that expresses the vow...
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ISBN:
(纸本)9781424431779
Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that expresses the vowel and the consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color region from an image, and finds a hand region. The system detects a skin colored hand without particular cloth in a complex background. We use 33 KMA hand shapes as template images, and the system compares hand shape with template images using a correlation coefficient method and composes a text syllable of initial consonant, medial vowel and final consonant.
This paper presents a total solution on EMG signal-based walking phase recognition for people with lower limb disability. Various environmental factors such as sensed location, walking speed, and ground inclination ar...
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This paper presents a total solution on EMG signal-based walking phase recognition for people with lower limb disability. Various environmental factors such as sensed location, walking speed, and ground inclination are taken into consideration in all the phases of signal sensing, feature extraction, feature selection, and classification. Based on analysis on fourteen well-known feature extraction methods in varying environmental situation, this paper proposes a methodology for selecting a good feature set, and then demonstrates effectiveness of the proposed approach with the classification results.
Fifty oysters each from Florida, Texas, and Alaska were used to develop methods that predict overall volume and weight, and meat volume and weight. Volumes (overall, shell, meat) were measured experimentally by the Ar...
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This paper describes our recent experimental evaluation of Information-Rich Virtual Environment (IRVE) interfaces. To explore the depth cue/visibility tradeoff between annotation schemes, we design and evaluate two in...
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ISBN:
(纸本)1595930981
This paper describes our recent experimental evaluation of Information-Rich Virtual Environment (IRVE) interfaces. To explore the depth cue/visibility tradeoff between annotation schemes, we design and evaluate two information layout techniques to support search and comparison tasks. The techniques provide different depth and association cues between objects and their labels: labels were displayed either in the virtual world relative to their referent (Object Space) or on an image plane workspace (Viewport Space). The Software Field of View (SFOV) was controlled to 60 or 100 degrees of vertical angle and two groups were tested: those running on a single monitor and those on a tiled nine-panel display. Users were timed, tracked for correctness, and gave ratings for both difficulty and satisfaction on each task. Significant advantages were found for the Viewport interface, and for high SFOV. The interactions between these variables suggest special design considerations to effectively support search and comparison performance across monitor configurations and projection distortions. Copyright 2005 ACM.
作者:
Kwang-Hyun ParkZeungnam BienDivision of EE
Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University
Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S.
M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.
It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of...
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It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.
Empirical evidence of the benefits of immersion is an important goal for the virtual environment (VE) community. Direct comparison of immersive systems and non-immersive systems is insufficient because differences bet...
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ISBN:
(纸本)1595933212
Empirical evidence of the benefits of immersion is an important goal for the virtual environment (VE) community. Direct comparison of immersive systems and non-immersive systems is insufficient because differences between such systems may be due not only to the level of immersion, but also to other factors, such as the input devices and interaction techniques used. In this paper, a study is presented that separates the effects of level of immersion and 3D interaction technique for a six-degree-of-freedom manipulation task. In the study, two components of immersion - stereoscopy and field of regard - were varied and three 3D interaction techniques - HOMER, Go-Go, and DO-IT (a new keyboard- and mouse-based technique) - were tested. The results of the experiment show that the interaction technique had a significant effect on object manipulation time, while the two components of immersion did not. The implications of these results are discussed for VE application developers. Copyright 2006 ACM.
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