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Towards a flexible architecture for interaction with augmented surfaces 朝着与增强表面交互的灵活架构发展
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765543
Paolo Bottoni, K. Kanev
Augmented surfaces are a novel paradigm for supporting interaction, where information is coded on the surface of a physical object, from which it can be read and used for different purposes. We introduce a novel software architecture by which object producers and application designers can independently define the information to be added on surfaces, as well as computational activities to be started upon identification of a coding. Moreover, we also offer the possibility to the end user to choose to set the type of activities to launch as well as to select a specific activity when more than one is available.
增强表面是一种支持交互的新范例,其中信息被编码在物理对象的表面上,可以从中读取和用于不同目的。我们引入了一种新的软件架构,通过该架构,对象生产者和应用程序设计人员可以独立地定义要添加到表面上的信息,以及在识别编码后启动的计算活动。此外,我们还为最终用户提供了选择设置要启动的活动类型的可能性,以及在多个活动可用时选择特定活动的可能性。
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引用次数: 0
The angle coverage algorithm of mobile object in wireless camera sensor networks 无线摄像传感器网络中移动目标的角度覆盖算法
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765477
Hua-Wen Tsai, Jhen-Jhou Jhong, Meng-Ruei Lin
Visual sensor networks offer surveillance applications, particularly object tracking. This study proposed an angle converge algorithm for mobile object to cover all angles of a mobile object in wireless camera sensor networks. This algorithm mainly applies to a security monitor system that can detect the object tracks and need to catch the 360° images of mobile object. This study designs a node selection algorithm to find a set of coverage nodes. The field of views of coverage nodes can cover all angles of mobile object. When the object moves, the set of coverage nodes has to update to maintain full coverage angle. We have to select the minimum number of nodes to cover full coverage angle. The wireless camera sensor network is random deployed in the monitor area environment. Each sensor node has rotational camera lens, and each camera can rotate 360 degrees. When a node detects a mobile object in the monitor area, it starts the tracking task and selects a set of coverage nodes to cover the mobile object. The field of view of camera is turned to follow the tracks of object. The mobile object is monitored by the proposed algorithm.
视觉传感器网络提供监视应用,特别是对象跟踪。提出了一种移动目标的角度收敛算法,以覆盖无线摄像传感器网络中移动目标的所有角度。该算法主要适用于能够检测物体轨迹,需要捕捉移动物体360°图像的安防监控系统。本研究设计了一种节点选择算法来寻找一组覆盖节点。覆盖节点的视场可以覆盖移动物体的所有角度。当目标移动时,覆盖节点集必须更新以保持全覆盖角度。我们必须选择最小数量的节点来覆盖全覆盖角度。无线摄像机传感器网络随机部署在监控区域环境中。每个传感器节点都有旋转摄像机镜头,每个摄像机可以360度旋转。当节点在监控区域检测到移动对象时,启动跟踪任务,并选择一组覆盖节点对移动对象进行覆盖。相机的视场转向跟随物体的轨迹。该算法对移动目标进行监控。
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引用次数: 5
Generating a variety of expressions from visual information and user-designated viewpoints 从视觉信息和用户指定的视点生成各种表达
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765459
Yasuhiro Noguchi, M. Kondo, Satoru Kogure, Tatsuhiro Konishi, Y. Itoh, A. Takagi, H. Asoh, I. Kobayashi
This paper reports the development and evaluation of a natural language generation system which generates a variety of language expressions from visual information taken by a CCD camera. The feature of this system is to generate a variety of language expressions from combinations of different syntactic structures and different sets of vocabulary, while managing the generation process based on the user-designated viewpoints. The system converts the visual information into a concept dependency structure using a semantic representation framework proposed by Takagi and Itoh. The system then transforms the structure and divides it into a set of words, deriving a word dependency structure, which is later arranged into a sentence. The transformation of a concept dependency structure and the variation in word segmentation allow the system to generate a variety of sentences from the same visual information. In this paper, we employ user-designated viewpoints to scenes containing more than one object. We designed the parameters of the user-designated viewpoints which enable the system to manage the generation process and to generate a variety of expressions. An evaluation has confirmed that the system generates certain variations according to parameter values set by the user. The variations include expressions referring to attribute values of the objects in the scenes and relative expressions denoting the relations between the targeted object and others.
本文报道了一个自然语言生成系统的开发和评价,该系统利用CCD相机拍摄的视觉信息生成多种语言表达式。该系统的特点是将不同的句法结构和不同的词汇集组合在一起,生成多种语言表达式,并根据用户指定的视点对生成过程进行管理。该系统使用Takagi和Itoh提出的语义表示框架将视觉信息转换为概念依赖结构。然后,系统对该结构进行转换并将其划分为一组单词,从而得出一个单词依赖结构,然后将其排列成一个句子。概念依赖结构的转换和分词的变化使系统能够从相同的视觉信息生成多种句子。在本文中,我们对包含多个对象的场景使用用户指定的视点。我们设计了用户指定视点的参数,使系统能够管理生成过程并生成各种表达式。经评估确认,系统会根据用户设置的参数值产生一定的变化。这些变化包括指场景中对象的属性值的表达式和表示目标对象与其他对象之间关系的相对表达式。
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引用次数: 0
Autonomie feedback with brain entrainment 自主反馈与大脑活动
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765451
Shu-Hui Tsai, Yue-Der Lin
The study focused on the autonomous feedback with brain entrainment, specifically involving an user-friendly interface to control brainwave entrainment by variation in cardiac autonomie function. In combination with generation of brainwave entrainment, the device would be capable of delivering relief from pressure for user. The platform included several key technologies, such that the device could use measured cardiac rhythmic variation to control a multi-channel oscillators to bring the brain to a specific entrainment state. The excitatory state of autonomie activity, which was reflected by the cardiac rhythmic variation, including the overall potential level of autonomie activity, the potential from the sympathetic branch, and the parasympathetic activity, could be used as biofeedback of body status and an evidence of interaction for more personalized adaptation. This platform could be embedded in beds, chairs, or even the floors to provide a realistic interactive experience.
本研究的重点是脑夹带的自主反馈,特别是通过心脏自主功能的变化来控制脑波夹带的用户友好界面。结合脑电波的产生,该设备将能够为用户减轻压力。该平台包括几项关键技术,例如该设备可以使用测量的心脏节律变化来控制多通道振荡器,从而将大脑带入特定的娱乐状态。通过心律变化反映的自主神经活动的兴奋状态,包括自主神经活动的总电位水平、交感神经分支的电位和副交感神经活动,可以作为身体状态的生物反馈和相互作用的证据,为更个性化的适应提供依据。这个平台可以嵌入在床、椅子甚至地板上,以提供逼真的互动体验。
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引用次数: 0
Pathway prediction using similar users and the N-gram model 使用相似用户和N-gram模型的路径预测
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765422
Kanta Kawase, R. Thawonmas
This paper is about our research on user pathway prediction for being applied to a location aware system. In particular, we propose a prediction method based on an jV-gram model with Kneser-Ney smoothing (KNS), originally developed by other researchers for statistical language model smoothing, and introduce the use of the transition information of similar users into KNS. We then verify the performance of the proposed prediction method by comparing it with an existing prediction method and a prediction method based on KNS using all users' information. The comparison result reveals that the proposed method outperforms its counterparts on all performance metrics: precision, recall, F-measure, and CA.
本文主要研究了应用于位置感知系统的用户路径预测方法。特别地,我们提出了一种基于jV-gram模型和Kneser-Ney平滑(KNS)的预测方法,这是其他研究人员最初为统计语言模型平滑而开发的,并将相似用户的过渡信息引入到KNS中。然后,我们通过将所提出的预测方法与现有的预测方法和基于KNS的使用所有用户信息的预测方法进行比较,验证了所提出的预测方法的性能。比较结果表明,该方法在所有性能指标上都优于同类方法:精度、召回率、F-measure和CA。
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引用次数: 0
Next Stop Recommender 下一站推荐
Pub Date : 2013-11-01 DOI: 10.1109/ICAwST.2013.6765420
B. Ripley, D. Liu, Maiga Chang, Kinshuk
User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.
用户漫游行为可能包括多次不同顺序的地点访问。研究小组提出了一种算法,可以根据用户之间的行为相似性和地点之间的联系为用户提供下次访问的推荐。为了测试所提出算法的有效性,研究团队开发了Android平台的移动应用程序Next Stop Recommender。本文以app本身为重点,讨论了app的潜在用途以及所提出算法的增强方向。
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引用次数: 2
Is autonomy working under unconscious state of sleep? 自主性在无意识睡眠状态下起作用吗?
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765452
M. Nakao, A. Karashima, N. Katayama
Conventionally sleep is understood as an unconscious state in which human and animals are taking rest physically as well as physiologically. However, sleep has been suggested to serve for development and maintenance of the higher-order brain functions as well. Actually neuronal activities show peculiar dynamics to sleep state and some neurons become rather active during sleep than wakefulness. Associated with neuronal activities, molecular and cellular machinery are found to be involved for the functions of sleep. Considering unconsciousness during sleep, neurobiological events characterizing sleep seem to be autonomously regulated. But, are they? In this essay, the neurobiological phenomena during sleep and their possible contribution to the sleep functions are reviewed. In addition, it is examined whether these neurobiological events during unconscious state of sleep are causally regulated or not.
传统上,睡眠被理解为人类和动物在身体和生理上得到休息的一种无意识状态。然而,睡眠也被认为有助于大脑高级功能的发展和维持。实际上,睡眠状态下神经元的活动表现出特殊的动态,有些神经元在睡眠时比清醒时更加活跃。与神经元活动有关的分子和细胞机制被发现参与睡眠的功能。考虑到睡眠中的无意识,表征睡眠的神经生物学事件似乎是自主调节的。但是,真的是这样吗?本文就睡眠中的神经生物学现象及其对睡眠功能的影响作一综述。此外,还研究了无意识睡眠状态下的这些神经生物学事件是否受到因果调节。
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引用次数: 0
Neurophysiological evidence of the cognitive cycle and the emergence of awareness 认知周期和意识出现的神经生理学证据
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765425
J. Davis, R. Kozma, W. Freeman
As part of the developing body of research about neural correlates of higher cognitive functions and awareness we have recently reported that the creation of knowledge and meaning could be manifested via Cortical Singularities. In this work we present new neurophysiological evidence of the hypothesized cognitive cycle in the emergence of awareness when a presumable meaningful stimuli is presented to an animal. This stimulus is manifested in the neocortex, as the creation of the knowledge necessary for intentional behavior and decision making. The results are interpreted through the concept of Pragmatic Information, which is complementary to the Shannon Entropy Index. We identify large-scale synchronization across broad frequency band as potential manifestation of the `aha' effect, indicating the construction of knowledge and meaning from input sensory data and leading to awareness experience.
作为高级认知功能和意识的神经相关研究的一部分,我们最近报道了知识和意义的创造可以通过皮质奇点表现出来。在这项工作中,我们提出了新的神经生理学证据,证明当假设有意义的刺激呈现给动物时,意识出现的假设认知周期。这种刺激在新皮层中表现为有意识行为和决策所必需的知识的创造。结果通过语用信息的概念来解释,这是对香农熵指数的补充。我们将宽频带上的大规模同步识别为“啊哈”效应的潜在表现,表明从输入的感官数据构建知识和意义并导致意识体验。
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引用次数: 16
Adaptive home surveillance system using HTTP streaming 采用HTTP流的自适应家庭监控系统
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765506
Duc V. Nguyen, Hung T. Le, A. Pham, T. Thang, Jin Young Lee, K. Yun
In this paper, we investigate the use of HTTP streaming in home surveillance system. First, we propose a dynamic resource allocation framework among the cameras. Under a set of constraints, e.g. link bandwidth and delay, our resource allocation solution decides which video versions will be requested from which cameras in order to maximize the weighted sum of utility for all cameras. The optimization, which is performed at the client, is based on a utility model for each video stream that takes into account not only perceptual quality but also the delay of a video stream. Video content is obtained through HTTP request/response transaction between the client and the cameras. The experiment results show that the proposed method is able to effectively improve the overall utility while still supporting low end-to-end delay and good perceptual quality for important cameras.
本文研究了HTTP流在家庭监控系统中的应用。首先,我们提出了一个动态资源分配框架。在一组约束条件下,例如链路带宽和延迟,我们的资源分配方案决定从哪个摄像机请求哪个视频版本,以便最大化所有摄像机的加权效用总和。在客户端执行的优化基于对每个视频流的实用新型,该实用新型不仅考虑了视频流的感知质量,而且还考虑了视频流的延迟。视频内容是通过客户端与摄像机之间的HTTP请求/响应事务获取的。实验结果表明,该方法能够有效地提高整体效用,同时仍然支持低端到端延迟和重要摄像机的良好感知质量。
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引用次数: 9
Backpropagation neural network model for detecting artificial emotions with color 带有颜色的人工情绪检测的反向传播神经网络模型
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765479
Min-Feng Lee, Guey-Shya Chen
Nowadays, emotion is leaded into a key position of human behavior clue, and hence it should be included within the sensible model when an intelligent system aims to simulate or forecast human responses. This research utilizes backpropagation one of neural network model to build the emotion detecting mechanism. This research integrates and manipulates the Thayer's emotion mode, Fuzzy Cognitive Maps and color theory into the backpropagation neural network model for an innovative emotion detecting system. This paper uses 100 data in four emotion groups to train the weight in the neural network and use 300 data to verify the accuracy in this system. The result reveals that backpropagation neural network can be effective estimation the emotion by feedback color from human. For the further research, colors will not the only human behavior clues, even more than all the factors from human interaction.
如今,情感被引入到人类行为线索的关键位置,因此,当智能系统旨在模拟或预测人类的反应时,应该将情感纳入到感知模型中。本研究利用神经网络模型中的反向传播模型来构建情感检测机制。本研究将Thayer的情绪模式、模糊认知地图和色彩理论整合并运用到反向传播神经网络模型中,构建了一种创新的情绪检测系统。本文使用四个情绪组的100个数据来训练神经网络中的权重,并使用300个数据来验证该系统的准确性。结果表明,反向传播神经网络可以有效地根据人的反馈颜色对情绪进行估计。对于进一步的研究,颜色将不再是人类行为的唯一线索,甚至超过所有来自人类互动的因素。
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引用次数: 5
期刊
炎黄地理
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