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人们对高尔夫运动的兴趣在过去的10年间爆发式增长,同时高尔夫球员的数量也显著增加.因此,如何训练一个球员做出适当和准确的挥杆动作已经引起研究者的广泛关注.在此类研究中最重要的步骤是挥杆动作的捕获与重建.至今为止,以Kinect为代表的深度成像设备受其基础条件的限制,其捕获的挥杆运动可能会由于运动中肢体之间的互相遮挡与肢体识别时产生的混乱丧失足够的精确度.为了从肢体互相遮挡并且分辨率较低的深度图像信息中恢复比较精确的运动信息,该文提出一个用于描述人体关节点之间空间关系与关节点动态特性的动态贝叶斯网络(DBN)模型,并基于该模型实现了高尔夫挥杆动作的重建.实验结果表明,该算法能够实现重建精度媲美商用的光学运动捕获系统(OMocap),并且比现有的深度信息修改算法具有更好的性能.  相似文献   
2.
为了在虚拟环境中实现风筝放飞效果,采用Kinect作为输入设备,利用体感设备的骨骼跟踪技术,定义手臂上举、振臂和双手交叉模拟放风筝的常用姿势,设计了虚拟放风筝系统,让用户通过手臂动作在虚拟环境中放飞风筝。在WPF平台上实现风筝场景设计和风筝运动时的动画设计。通过单元测试和集成测试,表明系统使用骨骼数据跟踪技术结合用户自定义手势,操作合理,WPF动画实现场景及风筝运动突破了传统动画限制,用户能在虚拟场景中体验到放风筝的乐趣。  相似文献   
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The landing error scoring system (LESS) assesses the quality of a landing after a jump. The quality of the jump is usually evaluated using a three-dimensional (3-D) motion analysis system or a two-dimensional (2-D) video analysis visually rated by a clinician. However, both methods have disadvantages. The aim of this study was to examine the concurrent validity of a novel portable motion analysis system (‘PhysiMax System’) in assessing the LESS score by comparing it to video analysis. The study population included 48 healthy participants (28.45 ± 5.61 years), each performing the LESS test while two video cameras and the ‘PhysiMax’ simultaneously recorded the jump. The ‘Physimax’ system automatically evaluated the LESS. Subsequently, the examiners scored the test by viewing the video recordings, blinded to the ‘PhysiMax’ results. The mean LESS score, using the video recordings and the ‘PhysiMax’ was 4.77 (±2.29) and 5.15 (±2.58), respectively, (ICC = 0.80, 95% confidence intervals 0.65–0.87), mean absolute differences 1.13 (95% confidence intervals; 0.79–1.46). The results indicate a high consensus between the methods of measurement. The ‘Physimax’ system’s main advantages are portability, objective evaluation and immediate availability of results. The system can be used by athletic trainers and physiotherapists in the clinic and in the field for jumping assessment.  相似文献   
4.
Advanced displays and natural user interfaces (NUI) are a very suitable combination for developing systems to provide an enhanced and richer user experience. This combination can be appropriate in several fields and has not been extensively exploited. One of the fields that this combination is especially suitable for is education. Nowadays, children are growing up playing with computer games, using mobile devices, and other technological devices. New learning methods that use these new technologies can help in the learning process. In this paper, two new methods that use advanced displays and NUI for learning about a period of history are presented. One of the methods is an autostereoscopic system that lets children see themselves as a background in the game and renders the elements in 3D without the need for special glasses; the second method is a frontal projection system that projects the image on a table in 2D and works similarly to a touch table. The Microsoft Kinect© is used in both systems for the interaction. A comparative study to check different aspects was carried out. A total of 128 children from 7 to 11 years old participated in the study. From the results, we observed that the different characteristics of the systems did not influence the children's acquired knowledge, engagement, or satisfaction. There were statistically significant differences for depth perception and presence in which the autostereoscopic system was scored higher. However, of the two systems, the children considered the frontal projection to be easier to use. We would like to highlight that the scores for the two systems and for all the questions were very high. These results suggest that games of this kind (advanced displays and NUI) could be appropriate educational games and that autostereoscopy is a technology to exploit in their development.  相似文献   
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体感交互技术作为新时代人机交互技术的产物,在人机交互领域带来了革命性的改变。实践证明,利用Kinect体感交互技术并借助C#研究定义常用人机互动的手势动作,并将其应用于编程教学中,极大地改善了学生对编程的学习兴趣,提高了学生的编程能力,激发了学生的创新理念,教学效果显著。  相似文献   
6.
结合虚拟维修教学和体感技术,研究了Unity3D开发环境下体感设备Kinect的引入、操作替身设计、维修姿态表态等问题。实际应用证明体感式维修教学系统是一种比传统键盘鼠标操作更加优越的训练方式。  相似文献   
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目前,大多数中招体育考试还停留在老师手工计分,主观评判的阶段.部分考生对评分的公平性和准确性存在质疑,用机器评分代替教师评分已经成为一种趋势.本文将Kinect引入中招考试,检测引体向上动作是否符合标准.实验结果表明本方法检测引体向上快速、准确,实时性高,具有实用性.  相似文献   
8.
要介绍了基于Kinect骨骼跟踪功能开发一套手势模拟鼠标操作的设计思路与实现方法,以实现对计算机的远距离手势遥控。  相似文献   
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