1,571 research outputs found
Continuous Interaction with a Virtual Human
No full textReidsma D, Truong K, van Welbergen H, et al. Continuous Interaction with a Virtual Human. In: Salah AA, Gevers T, eds. Proceedings eNTERFACE'10: 6th International Summer Workshop on Multimodal Interfaces (eNTERFACE'10). Amsterdam: University of Amsterdam; 2010: 24-39
A proposal for image indexing: keypics, plastic graphical metadata
No full textWe propose a graphical indexing of images to be exposed on the Web. This should be accomplished by “keypics”,
i.e. auxiliary, simplified pictures referring to the geometrical and/or the semantic content of the indexed image.
Keypics should not be rigidly standardized; they should be left free to evolve, to express nuances and to
stress details. A mathematical tool for dealing with such freedom already exists: Size Functions.
We support the idea of keypics with some experiments on a 498 images dataset
A proposal for image indexing: keypics, plastic graphical metadata
No full textWe propose a graphical indexing of images to be exposed on the Web. This should be accomplished by “keypics”,
i.e. auxiliary, simplified pictures referring to the geometrical and/or the semantic content of the indexed image.
Keypics should not be rigidly standardized; they should be left free to evolve, to express nuances and to
stress details. A mathematical tool for dealing with such freedom already exists: Size Functions.
We support the idea of keypics with some experiments on a 498 images dataset
Methods and technologies for gait analysis
No full textGait analysis is a highly active research area with a wide range of applications in clinical settings, surveillance and human-computer interaction. The focus of this chapter is the clinical aspect of gait analysis, in which accuracy and precision are essential. Subsequently, the chapter focuses on various techniques of measuring gait and introduces taxonomy for their analysis. From this perspective, motion measurements using motion capture and inertial sensors are presented. Motion capture techniques are analyzed under sections of marker-based and markerless techniques and their common applications are exemplified. Additionally, accelerometers, gyroscopes, magnetometers and their applications are presented in the inertial measurements section. Finally, force measurements and measurement of electrical activity of muscles are explained briefly
Synchronization Overhead in SOC Compressed Test
No full textTest data compression is an enabling technology for low-cost test. Compression schemes however, require communication between the system under test and the automated test equipment. This communication, referred to in this paper as synchronization overhead, may hinder the effective deployment of this new test technology for core-based systems-on-a-chip. This paper analyzes the sources of synchronization overhead and discusses the different trade-offs, such as area overhead, test time and automatic test equipment extensions. A novel scalable and programmable on-chip distribution architecture is proposed, which addresses the synchronization overhead problem and facilitates the use of low cost testers for manufacturing test. The design of the proposed architecture is introduced in a generic framework, and the implementation issues (including the test controller and test set preparation) have been considered for a particular case
Fifty Forensic Fables
No full textThis book does for the legal profession in England what George Ade's fables do more broadly. These are enjoyable tales with pleasing caricatures. All the actors are humans. A funny appendix follows The Story of an Ancient Line through twelve generations. The book shows what fable meant earlier in this century.This is a hardbound book (hard cover)This book has a dust jacket (book cover)O (Theo Mathew
Description and evaluation of techniques for transfer learning across sub-categories
No full textThis report presents contributions in sub-categorisation. In the first part we propose a simple approach to build a meta-learner on individual classifier that is supposed to implicitly learn class inter-dependencies. We further study how the performance is modified if we add automatically learned meta-classes (group of similar classes). In the second part, we address the problem using a structured learning approach. The main idea is to build a graphical model which efficiently performs labelling at multiple levels simultaneously
Corporate and Public Real Estate managament
No full textIn this book chapter Theo van der Voordt and Monique Arkesteijn discuss the difference between corporate and public real estate management i.e. the perspective of the end users, and real estate management i.e. the perspective of investors and developers. Furthermore an overview is presented of the legacy of the (C)REM section of the Department of Management in the Built Environment of the Faculty of Architecture and the Built Environment, Delft University of Technology, the Netherlands. The chapter discusses various research themes and introduces key topics such as how to create the best possible fit between supply and demand, adding value through corporate and public real estate, managing of university campuses, workplace management, adaptive reuse as a means to cope with (structural) vacancy, preference modeling and willingness-to-pay, and Corporations & Cities. These topics have been elaborated in other chapters of “Dear is Durable”, a Liber Amicorum for prof. Hans de Jonge that was offered to him due to his farewell as professor of Real Estate Management and Development A pdf of this book can be downloaded from the TU Delft research repository: http://resolver.tudelft.nl/uuid:02789dc2-eb6f-41a7-9d64-21212c2a3da8 .Real Estate Managemen
Facial features matching using a virtual structuring element
No full textFace analysis in a real-world environment is a complex task as it should deal with challenging problems such as pose variations, illumination changes and complex backgrounds. The use of active appearance models for facial features detection is often successful in restricted environments, but the performance decreases when applied in unconstrained environments. Therefore, in this paper, we introduce a novel method that integrates the knowledge of a face detector inside the shape and the appearance models by using what we call a 'virtual structuring element' (VSE). In this way the possible settings of the active appearance models are constrained in an appearance-driven manner. The use of a virtual structuring element in an active appearance model provides increased performance in both accuracy and robustness over standard active appearance models applied to different environments
Continuous Analysis of Affect from Voice and Face
No full textHuman affective behavior is multimodal, continuous and complex. Despite major advances within the affective computing research field, modeling, analyzing, interpreting and responding to human affective behavior still remains a challenge for automated systems as affect and emotions are complex constructs, with fuzzy boundaries and with substantial individual differences in expression and experience [7]. Therefore, affective and behavioral computing researchers have recently invested increased effort in exploring how to best model, analyze and interpret the subtlety, complexity and continuity (represented along a continuum e.g., from −1 to +1) of affective behavior in terms of latent dimensions (e.g., arousal, power and valence) and appraisals, rather than in terms of a small number of discrete emotion categories (e.g., happiness and sadness). This chapter aims to (i) give a brief overview of the existing efforts and the major accomplishments in modeling and analysis of emotional expressions in dimensional and continuous space while focusing on open issues and new challenges in the field, and (ii) introduce a representative approach for multimodal continuous analysis of affect from voice and face, and provide experimental results using the audiovisual Sensitive Artificial Listener (SAL) Database of natural interactions. The chapter concludes by posing a number of questions that highlight the significant issues in the field, and by extracting potential answers to these questions from the relevant literature. The chapter is organized as follows. Section 10.2 describes theories of emotion, Sect. 10.3 provides details on the affect dimensions employed in the literature as well as how emotions are perceived from visual, audio and physiological modalities. Section 10.4 summarizes how current technology has been developed, in terms of data acquisition and annotation, and automatic analysis of affect in continuous space by bringing forth a number of issues that need to be taken into account when applying a dimensional approach to emotion recognition, namely, determining the duration of emotions for automatic analysis, modeling the intensity of emotions, determining the baseline, dealing with high inter-subject expression variation, defining optimal strategies for fusion of multiple cues and modalities, and identifying appropriate machine learning techniques and evaluation measures. Section 10.5 presents our representative system that fuses vocal and facial expression cues for dimensional and continuous prediction of emotions in valence and arousal space by employing the bidirectional Long Short-Term Memory neural networks (BLSTM-NN), and introduces an output-associative fusion framework that incorporates correlations between the emotion dimensions to further improve continuous affect prediction. Section 10.6 concludes the chapter
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