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Titlebook: Distributed, Ambient and Pervasive Interactions; 4th International Co Norbert Streitz,Panos Markopoulos Conference proceedings 2016 Springe

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發(fā)表于 2025-3-23 12:40:04 | 只看該作者
Design and Sensitive Configurations: Memory and Learning Neural Circuits Correlated with the Creativocess in design. Based on Eric Kandel’s research on the multiple forms of learning using . (a giant sea slug), we have established correlated visual graphics that approach learning neural analogs to the apprehension of the sensible. The contemporary design sets subjective aspects of our being in the
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發(fā)表于 2025-3-23 13:57:07 | 只看該作者
Data-Driven Smart Home System for Elderly People Based on Web Technologieshe governments want to reduce these social costs through advanced technologies. The physician or medical center evaluates health conditions from the reports of elderly people. However, self-reports are often inaccurate, and sometimes reports by family or caregivers can be more accurate. To solve the
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發(fā)表于 2025-3-23 18:54:03 | 只看該作者
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發(fā)表于 2025-3-23 22:29:01 | 只看該作者
Game Design and Neuroscience Cooperation in the Challenge-Based Immersion in Mobile Devices as Tablethe impact that the application of design elements may have in the construction of the gameplay experience. This concern is intensified when involving children on the stage of brain and cognitive development. This scenario is favorable to the cooperation between Game Design and Neuroscience, which a
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發(fā)表于 2025-3-24 04:41:19 | 只看該作者
Exploring Machine Learning Object Classification for Interactive Proximity Surfaces larger distance. As they are not disturbed by non-conductive materials, they can be used to track hands above arbitrary surfaces, creating flexible interactive surfaces. Since the resolution is lower compared to many other sensing technologies, it is necessary to use sophisticated data processing m
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發(fā)表于 2025-3-24 09:43:40 | 只看該作者
Machine Learning and Location Fingerprinting to Improve UX in a Ubiquitous Applicationst version of the application (GREatPrint V1) was evaluated and showed a low accuracy in the detection of the closest printer. In order to improve the application, this study proposes a new version of GREatPrint (GREatPrint V2) based on a machine learning algorithm and location fingerprinting techni
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發(fā)表于 2025-3-24 11:05:46 | 只看該作者
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發(fā)表于 2025-3-24 15:41:45 | 只看該作者
Norbert Streitz,Panos MarkopoulosIncludes supplementary material:
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發(fā)表于 2025-3-24 22:22:47 | 只看該作者
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發(fā)表于 2025-3-25 00:41:10 | 只看該作者
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