Design aspects of user interfaces increasingly include emotional and hedonistic facets. Withthe steadily rising number of computer users with no technical background and no interest and not willing to understand what...
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Emotions are of increasing interest to the HCI community and there is an enthusiastic spirit of adventure amongst researchers exploring this area. Much technical research has been done focussing on development of vari...
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Emotions influence physiological processes in humans and are controlled by the autonomous nervous system. Emotions result in generally observable variations in a human's behaviour or physiological parameters that ...
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Hongcun Town is located in Huangshan City, Anhui Province, China. It is known as the 'village in painting'. this work uses 3dsmax+Twinmotion software to make a virtual tour of Hongcun, which vividly shows the ...
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To enable more natural face-to-face interactions, conversational agents need to adapt their behavior to their interlocutors. One key aspect of this is generation of appropriate non-verbal behavior for the agent, for e...
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ISBN:
(纸本)9781450375863
To enable more natural face-to-face interactions, conversational agents need to adapt their behavior to their interlocutors. One key aspect of this is generation of appropriate non-verbal behavior for the agent, for example facial gestures, here defined as facial expressions and head movements. Most existing gesture-generating systems do not utilize multi-modal cues from the interlocutor when synthesizing non-verbal behavior. those that do, typically use deterministic methods that risk producing repetitive and non-vivid motions. In this paper, we introduce a probabilistic method to synthesize interlocutor-aware facial gestures - represented by highly expressive FLAME parameters - in dyadic conversations. Our contributions are: a) a method for feature extraction from multi-party video and speech recordings, resulting in a representation that allows for independent control and manipulation of expression and speech articulation in a 3D avatar;b) an extension to MoGlow, a recent motion-synthesis method based on normalizing flows, to also take multi-modal signals from the interlocutor as input and subsequently output interlocutor-aware facial gestures;and c) a subjective evaluation assessing the use and relative importance of the different modalities in the synthesized output. the results show that the model successfully leverages the input from the interlocutor to generate more appropriate behavior. Videos, data, and code are available at: https://***/lets_face_it/.
the proceedings contain 26 papers. the special focus in this conference is on Embedded computer Systems: Architectures, Modeling, and Simulation. the topics include: System Simulation of Memristor Based Computation in...
ISBN:
(纸本)9783030609382
the proceedings contain 26 papers. the special focus in this conference is on Embedded computer Systems: Architectures, Modeling, and Simulation. the topics include: System Simulation of Memristor Based Computation in Memory Platforms;compiler Optimizations for Safe Insertion of Checkpoints in Intermittently Powered Systems;Fine-Grained Power Modeling of Multicore Processors Using FFNNs;from High-Level Synthesis to Bundled-Data Circuits;energy-Aware Partial-Duplication Task Mapping Under Real-Time and Reliability Constraints;A Quantitative Study of Locality in GPU Caches;CHASM: Security Evaluation of Cache Mapping Schemes;DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks;profiling Dilithium Digital Signature Traces for Correlation Differential Side Channel Attacks;Combining Task- and Data-Level Parallelism for High-throughput CNN Inference on Embedded CPUs-GPUs MPSoCs;S-NET: A Confusion Based Countermeasure Against Power Attacks for SBOX;risk and Architecture Factors in Digital Exposure Notification;VGM-Bench: FPU Benchmark Suite for computer Vision, computergraphics and Machine Learning Applications;Decision Support Systems to Promote Health and Well-Being of People During their Working Age: the Case of the WorkingAge EU Project;Technical Debt Management and Energy Consumption Evaluation in Implantable Medical Devices: the SDK4ED Approach;Distributed Training on a Highly Heterogeneous HPC System;AMAIX: A Generic Analytical Model for Deep Learning Accelerators;data Mining in System-Level Design Space Exploration of Embedded Systems;CoPTA: Contiguous Pattern Speculating TLB Architecture;a Fine-Granularity Image Pyramid Accelerator for Embedded Processors;rec2Poly: Converting Recursions to Polyhedral Optimized Loops Using an Inspector-Executor Strategy;DRAMSys4.0: A Fast and Cycle-Accurate SystemC/TLM-Based DRAM Simulator;transpiling Python to Rust for Optimized Performance.
Dielectric Elastomer Actuators (DEAs) represent a promising alternative technology for common small- and micro-drives, due to their lightweight,high energy density, high design flexibility, and silent operations. In o...
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ISBN:
(数字)9781510616851
ISBN:
(纸本)9781510616851
Dielectric Elastomer Actuators (DEAs) represent a promising alternative technology for common small- and micro-drives, due to their lightweight,high energy density, high design flexibility, and silent operations. In order to obtain a stroke, membrane DEAs need to be preloaded with mechanical biasing elements. the use of negative stiffness mechanisms results in a relatively large stroke, in comparison with conventional biasing systems based on masses or linear springs. Centrally loaded, pre-stressed buckled beams show this negative stiffness behavior in a well-defined range. In particular, their force-displacement characteristics is highly nonlinear and depends on the beam geometry and axial pre-compression. this paper provides a fast model-based design approach for large stroke DEA systems biased with pre-stressed and centrally loaded buckled beams. the method is based on a Finite Element model of a buckled beam, implemented in COMSOL Multiphysics (R). Large deformations are considered in order to accurately design compact DEA systems with highly compressed beams. Stroke optimization is achieved by combining nonlinear beam elements with linear spring mechanisms. this method allows the calculation of the required beam geometry and pre-compression in order to achieve the desired characteristics of the preloading mechanism. the proposed methodology is validated by numerous simulations.
Methods and algorithms of formation of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of p...
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ISBN:
(纸本)9781538618103
Methods and algorithms of formation of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of parameters of objects of monitoring are offered. By cognitive machine graphicsthese algorithms form cognitive images as scientific graphic metaphors in consciousness of the user. Efficiency increases in a case of multidimensional terabyte massifs.
Practical technique of the analysis of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of p...
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ISBN:
(纸本)9781538618103
Practical technique of the analysis of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of parameters of objects of monitoring are offered. By cognitive machine graphicsthese algorithms form cognitive images as scientific graphic metaphors in consciousness of the user. Efficiency increases in a case of multidimensional terabyte massifs.
Smith-Waterman is a dynamic programming algorithm that plays a key role in the modern genomics pipeline as it is guaranteed to find the optimal local alignment between two strings of data. the state of the art present...
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ISBN:
(纸本)9783981537093
Smith-Waterman is a dynamic programming algorithm that plays a key role in the modern genomics pipeline as it is guaranteed to find the optimal local alignment between two strings of data. the state of the art presents many hardware acceleration solutions that have been implemented in order to exploit the high degree of parallelism available in this algorithm. the majority of these implementations use heuristics to increase the performance of the system at the expense of the accuracy of the result. In this work, we present an implementation of the pure version of the algorithm. We include the key architectural optimizations to achieve highest possible performance for a given platform and leverage the Berkeley roofline model to track the performance and guide the optimizations. To achieve scalability, our custom design comprises of systolic arrays, data compression features and shift registers, while a custom port mapping strategy aims to maximize performance. Our designs are built leveraging an OpenCL-based design entry, namely Xilinx SDAccel, in conjunction with a Xilinx Virtex 7 and Kintex Ultrascale platform. Our final design achieves a performance of 42.47 GCUPS (giga cell updates per second) with an energy efficiency of 1.6988 GCUPS/W. this represents an improvement of 1.72x in performance and energy efficiency over previously published FPGA implementations and 8.49x better in energy efficiency over comparable GPU implementations.
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