共查询到18条相似文献，搜索用时 203 毫秒
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《中国科技信息》2016,(21)
利用OpenCV计算机视觉库在vs2013平台上设计一个基于实时摄像头的集静态手势、动态手势跟踪、动态手势识别于一体的应用。在动态运动的手势建模中,分析运动轨迹的运动序列即计算运动光流,抽取运动轨迹。最后利用隐马尔可夫模型(HMM)结合动态时间的规划法进行运动轨迹识别,更加方便快捷的控制目标。将这种由电脑做处理器的设备在体积方面受到极大的制约,无法做到便携化,小型化,在正式场合无法使用,因此我们将其集成在树莓派上,用一张卡片大小的微型电脑控制,大大增强了它的实际应用能力,降低他的成本。在此基础上加入电力载波,将其应用到只能家居的通信上,减少线路施工。 相似文献
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随着计算机人机交互技术的发展,手势作为一种自然而直观的人际交流模式,手势识别也是实现新一代人机交互所不可缺少的一项关键技术。现代深度相机如Kinect、TOF等飞速发展,也促使人们对于基于深度相机的手势识别系统研究和应用的重视。文章主要介绍基于深度相机的手势识别系统方法及应用,讨论骨骼、深度图像等信息数据在识别系统中的开发和应用,最后简介深度信息的应用发展前景。 相似文献
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手势在人机交互中的应用是非常普遍的。本文给出了一种基于约束模型的主动约束捕捉的数据结构。在此基础上分析研究了用于笔式用户界面几何教学系统中的手势识别技术。进而提出了主动约束捕捉的求解算法,最后阐述了手势在笔式几何系统中的应用。 相似文献
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Augmented reality is very useful in medical education because of the problem of having body organs in a regular classroom. In this paper, we propose to apply augmented reality to improve the way of teaching in medical schools and institutes. We propose a novel convolutional neural network (CNN) for gesture recognition, which recognizes the human's gestures as a certain instruction. We use augmented reality technology for anatomy learning, which simulates the scenarios where students can learn Anatomy with HoloLens instead of rare specimens. We have used the mesh reconstruction to reconstruct the 3D specimens. A user interface featured augment reality has been designed which fits the common process of anatomy learning. To improve the interaction services, we have applied gestures as an input source and improve the accuracy of gestures recognition by an updated deep convolutional neural network. Our proposed learning method includes many separated train procedures using cloud computing. Each train model and its related inputs have been sent to our cloud and the results are returned to the server. The suggested cloud includes windows and android devices, which are able to install deep convolutional learning libraries. Compared with previous gesture recognition, our approach is not only more accurate but also has more potential for adding new gestures. Furthermore, we have shown that neural networks can be combined with augmented reality as a rising field, and the great potential of augmented reality and neural networks to be employed for medical learning and education systems. 相似文献
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Keiko Kurata Mamiko Matsubayashi Shinji Mine Tomohide Muranushi Shuichi Ueda 《Information processing & management》2007
In recent years, electronic journals are in common use in scholarly communication and we can interpret this situation in various ways. On the one hand, we can say that scholarly communication is now much dependent on electronic resources. On the other hand, it would be too simplistic to say that scholarly communication is now greatly dependent on electronic resources because researchers seldom use other electronic resources. The purpose of this article is to show the position of electronic journals in scholarly communication based on Japanese researchers’ information behavior and estimation. The main focus is on distinguishing the function of scholarly journal and the electronic form. A questionnaire was sent to 1427 physicists, 1026 chemists and 1276 pathologists in universities and other research institutes all over Japan, of whom 775 (54.3%), 494 (48.1%) and 541 (42.4%), respectively, supplied answers. The main results are as follows. Japanese researchers in STM fields use electronic journals as a matter of course, and other electronic resources to some extent, for accessing information; but this shift to electronic resources seemed to be not a transformation but a modification of traditional patterns of use. Researchers still rely on traditional scholarly journals for accessing information and publication, although their recognition has begun to change. 相似文献
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《Information processing & management》2022,59(4):102950
Human skeleton, as a compact representation of action, has attracted numerous research attentions in recent years. However, skeletal data is too sparse to fully characterize fine-grained human motions, especially for hand/finger motions with subtle local movements. Besides, without containing any information of interacted objects, skeleton is hard to identify human–object interaction actions accurately. Hence, many action recognition approaches that purely rely on skeletal data have met a bottleneck in identifying such kind of actions. In this paper, we propose an Informed Patch Enhanced HyperGraph Convolutional Network that jointly employs human pose skeleton and informed visual patches for multi-modal feature learning. Specifically, we extract five informed visual patches around head, left hand, right hand, left foot and right foot joints as the complementary visual graph vertices. These patches often exhibit many action-related semantic information, like facial expressions, hand gestures, and interacted objects with hands or feet, which can compensate the deficiency of skeletal data. This hybrid scheme can boost the performance while keeping the computation and memory load low since only five extra vertices are appended to the original graph. Evaluation on two widely used large-scale datasets for skeleton-based action recognition demonstrates the effectiveness of the proposed method compared to the state-of-the-art methods. Significant accuracy improvements are reported using X-Sub protocol on NTU RGB+D 120 dataset. 相似文献
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J.L. Willems 《Endeavour》1981,5(1):37-43
In many fields of modern medicine, diagnosis and treatment demand the rapid correlation of a very large number of variables. To reduce this task to manageable proportions increasing use is being made of computers. The subject of the use of computers in medicine generally is too broad to review adequately in a brief space. This article is restricted to the use of computers in electrocardiography, which is not only intrinsically important-because of the problem of heart disease in the western world—but has been used as a proving ground for many other applications. 相似文献
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乡村生态转型旨在保护乡村资源环境的同时,实现自然资源及生态服务的经济价值,以达到自然生态与经济社会共赢,是乡村功能认识回归和生态文明建设背景下乡村农业生产和生态维育功能重新得到重视等外在因素,以及乡村生态资源丰富和村民发展诉求强烈等内在驱动共同作用的结果,为地处生态敏感区的传统农业村落实现振兴和可持续发展提供了可行途径。基于生态现代化理论与生态经济发展特质,本文从要素投入和参与主体两方面探讨了乡村生态转型的可能路径,提出乡村生态转型需要从依靠资本转向依靠知识投入,结合政府、社区等主体在乡村知识投入与应用中的行为及作用特点,提出乡村生态转型的知识投入更适合采取社区参与的方式。最后,结合江苏省句容市茅山风景区陈庄村的生态转型实践,对乡村生态转型的知识投入和社区参与策略及其效应进行分析。研究有助于深化对乡村生态转型必要性及其路径的理论认识,并为乡村发展的生态化实践提供一定经验借鉴和路径参考。 相似文献
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旅游地生态持续性评价及其空间分异分析——以云南省丽江纳西族自治县为例 总被引：1，自引：1，他引：1
以云南省丽江纳西族自治县为例，运用生态足迹、旅游生态足迹等方法，构建旅游地生态持续性评价体系，定量评价全县2001年生态持续性状态及其空间分异。研究结果表明，研究区生态持续性在总体上处于可持续性强的状态，说明旅游地社会经济发展与生态保护相协调；受社会经济、旅游业发展与自然环境状态的空间异质性影响，丽江县生态持续性具有明显的空间差异；丽江县生态持续性的空间分异分析表明，游客的空间集聚导致生态需求的空间集中，丽江县主要景区周边区域的生态持续性状态相对其他区域较差。 相似文献
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政府信息故意失真行为分析 总被引：1，自引：0，他引：1
政府信息故意失真是我国政府信息管理中的一个普遍而严重的问题，从行为科学看，一方面，政府官员所处的社会环境和生活状况造成了他进行政府信息故意失真的引力和压力，进而形成政府信息故意失真的动机；另一方面，我国政府制度和政府环境也为之提供了进行政府信息故意失真的客观条件，解决这一问题的根本出路在于实现政府信息的民主化管理。 相似文献
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提升我国知识产权全球治理能力是新时期我国知识产权领域发展的重要任务和战略举措。近年来,知识产权全球治理结构趋势发生了深刻的变化:一方面,国际知识产权规则和制度发生巨大的调整和创新;另一方面,美国以知识产权问题作为借口制造中美经贸摩擦,破坏国际经贸秩序与治理体系,给我国知识产权全球治理带来严峻挑战。目前,我国面临着全球知识产权规则博弈处于劣势,新兴领域知识产权支撑全球竞争作用有限,企业知识产权国际环境日趋严峻,以及政府海外知识产权服务能力仍需改善等诸多挑战。因此,提升我国知识产权全球治理水平,要推动建立区域性知识产权合作组织,强化新兴领域知识产权保护与合作,积极融入全球知识产权治理体系,提升政府海外知识产权公共服务能力。 相似文献