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HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize stateof-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, 1993
In the study of the linguistic modeling of facial images we have been previously concerned with deriving qualitative descriptions such as "big eyes, long hair" of face components. To enhance this system we extend our approach at deriving higher level, qualitative descriptions. In particular, we focus on describing facial expressions. Our approach is that of qualitative modeling based on fuzzy ...
2009 Chinese Control and Decision Conference, 2009
This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental ...
2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
Facial paralysis can be on one or both sides of face and one side is much more common. This disease can impose significant psychological and functional impairment to patients. Traditionally, patients with facial paralysis are evaluated and examined by physicians based on manually measurement of certain difference between the two facial sides. In this paper, we describe a new approach ...
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011
This paper presents a novel method for natural changing of emotional expression. Although formal behavior generation method using the simulated annealing algorithm selects various behaviors, there are weak correlations among behavior history. To make strong correlations, we restrict the randomness of the simulated annealing algorithm. This method sifts unapt candidate behavior combinations out by considering the previous behavior combinations and ...
IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., 2001
In the study of the linguistic modeling of facial images we have been previously concerned with deriving qualitative descriptions such as "big eyes, long hair" of face components. To enhance this system we extend our approach at deriving higher level, qualitative descriptions. In particular, we focus on describing facial expressions. Our approach is that of qualitative modeling based on fuzzy number modeling. The result of this modeling method is a collection of fuzzy if-then rules obtained from input-output data. The input data consists of measurements of the movement of facial parts associated to different facial expressions. The output data consists of scores for face images collected using a questionnaire. In this paper, we show the modeling result obtained from this method for the facial expression "happy". While the modeling results are satisfactory the initial recognition results are limited, due in part to the absence of the models for the remaining facial expressions.<<ETX>>
This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental results show that the new method is efficient and robust to images in different rotation angles. It can work effectively with no limits to the open eyes, two eyebrows or two eyes. The mismatching of the eyebrow and eye on the different side can also be decrease.
Facial paralysis can be on one or both sides of face and one side is much more common. This disease can impose significant psychological and functional impairment to patients. Traditionally, patients with facial paralysis are evaluated and examined by physicians based on manually measurement of certain difference between the two facial sides. In this paper, we describe a new approach for quantitatively estimating the degree of facial paralysis. We first determine key points based on salient point detection. Then the differences between the two facial sides are calculated. The proposed method is proved to be useful and effective in practice.
This paper presents a novel method for natural changing of emotional expression. Although formal behavior generation method using the simulated annealing algorithm selects various behaviors, there are weak correlations among behavior history. To make strong correlations, we restrict the randomness of the simulated annealing algorithm. This method sifts unapt candidate behavior combinations out by considering the previous behavior combinations and makes adequate range of candidate behavior combinations. We have verified the continuity of the proposed method using a cyber robot simulator.
By adopting methods of documentation, questionnaires and statistics, this investigation is intended to study and analyze the status quo of college student's after-school sports activities, finds out what problems existing that prevent students from further engaging in after-school sports activities, and what differences lie between female and male's attitude towards sports, and propose suggestions for improving students sports participation rate and therefore improving their physical conditions.
This paper shows how the most important features can be selected from the face so that the performance of any face recognition engine can be improved by matching only the maximally distinguishable features. Creating an automated face recognition system that can duplicate human performance in recognizing a face is one of the key goal of computer vision researchers. So, it is necessary that computational researchers should know the key findings from a facial image. Here the feature hierarchy in accordance with importance to recognize a face is used in our Face Recognition system and it is observed that the performance have been improved drastically after selecting the mostly contributing feature set.
An efficient and accurate face modeling based on Garbor wavelet network (GWN) is introduced. GWN is very useful because it can create sparse representation of object for fast matching and it is a biologically motivated feature. However the beauty of GWN is offset by inefficient time-consuming modeling of objects. Therefore an efficient and accurate modeling method is needed for GWN. GWN prior for faces is learned from University of Essex Faces94 database using Levenberg-Marquardt optimization method and K-means clustering. Then, guided by GWN prior, the new modeling process efficiently achieves better modeling. To evaluate the quality of modeling, sum of squared difference is used and tracking algorithm is applied to the model as a verification of our proposed method.
We propose a framework for estimation and analysis of temporal facial expression patterns of a speaker. The goal of this framework is to learn the personalized elementary dynamic facial expression patterns for a particular speaker. We track lip, eyebrow, and eyelid of the speaker in 3D across a head- and-shoulder stereo video sequence. We use MPEG-4 facial definition parameters (FDPs) to create the feature set, and MPEG-4 facial animation parameters (FAPs) to represent the temporal facial expression patterns. Hidden Markov model (HMM) based unsupervised temporal segmentation of upper and lower facial expression features is performed separately to determine recurrent elementary facial expression patterns for the particular speaker. These facial expression patterns, which are coded by FAP sequences and may not be tied with prespecified emotions, can be used for personalized emotion estimation and synthesis of a speaker. Experimental results are presented.
In these days, human face identification is the safe technique of computer which has been developing quickly within the scope of global. In this paper, we described the basic techniques of image processing, such as different edge detection techniques, harmony variation, and the method of image and face recognition. We focused on human interface system, which was the first step to structure the target system. In order to evaluate this new system, we did the experiment and identified the position of the human face, eyes, mouth and eyebrows. Finally, by testing, our experimental results show that the interface of the recognition system is easy to manipulate, the performance is stable and with good implementation function.
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