Relevant bibliographies by topics / Motion data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Motion data'

Author: Grafiati
Published: 23 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Motion data"

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Lv, Na, Yan Huang, Zhi Quan Feng, and Jing Liang Peng. "A Survey on Motion Capture Data Retrieval." Applied Mechanics and Materials 556-562 (May 2014): 2944–47. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2944.

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With the rapid development of motion capture technology, large motion capture databases are established. How to effectively retrieve the motions from huge amounts of motion data has become a hot topic in computer animation. In this paper, we give a survey on current motion capture data retrieval methods and point out some still existing problems at the end.
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Dong, Ran, Dongsheng Cai, and Soichiro Ikuno. "Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform." Sensors 20, no. 22 (2020): 6534. http://dx.doi.org/10.3390/s20226534.

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Motion capture data are widely used in different research fields such as medical, entertainment, and industry. However, most motion researches using motion capture data are carried out in the time-domain. To understand human motion complexities, it is necessary to analyze motion data in the frequency-domain. In this paper, to analyze human motions, we present a framework to transform motions into the instantaneous frequency-domain using the Hilbert-Huang transform (HHT). The empirical mode decomposition (EMD) that is a part of HHT decomposes nonstationary and nonlinear signals captured from th
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Trivedi, Urvish, Redwan Alqasemi, and Rajiv Dubey. "CARRT—Motion Capture Data for Robotic Human Upper Body Model." Sensors 23, no. 20 (2023): 8354. http://dx.doi.org/10.3390/s23208354.

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In recent years, researchers have focused on analyzing humans’ daily living activities to study various performance metrics that humans subconsciously optimize while performing a particular task. In order to recreate these motions in robotic structures based on the human model, researchers developed a framework for robot motion planning which is able to use various optimization methods to replicate similar motions demonstrated by humans. As part of this process, it will be necessary to record the motions data of the human body and the objects involved in order to provide all the essential info
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Chiu, H. C., F. J. Wu, C. J. Lin, H. C. Huang, and C. C. Liu. "Effects of rotation motions on strong-motion data." Journal of Seismology 16, no. 4 (2012): 829–38. http://dx.doi.org/10.1007/s10950-012-9301-z.

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Et.al, JIBUM JUNG. "Use of Human Motion Data to Train Wearable Robots." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 807–11. http://dx.doi.org/10.17762/turcomat.v12i6.2100.

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Development of wearable robots is accelerating. Walking robots mimic human behavior and must operate without accidents. Human motion data are needed to train these robots. We developed a system for extracting human motion data and displaying them graphically.We extracted motion data using a Perception Neuron motion capture system and used the Unity engine for the simulation. Several experiments were performed to demonstrate the accuracy of the extracted motion data.Of the various methods used to collect human motion data, markerless motion capture is highly inaccurate, while optical motion cap
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Yong-Qiong Zhu, Yong-Qiong Zhu, Ye-Ming Cai Yong-Qiong Zhu, and Fan Zhang Ye-Ming Cai. "Motion Capture Data Denoising Based on LSTNet Autoencoder." 網際網路技術學刊 23, no. 1 (2022): 011–20. http://dx.doi.org/10.53106/160792642022012301002.

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<p>This paper proposes a novel deep learning-based optical motion capture denoising model encoder-LSTNet- decoder (ELD). ELD uses an autoencoder for manifold learning and decoder to remove jitter noise and missing noise effectively. It uses recurrent units in LSTNet to effectively obtain the spatial-temporal information of motion sequences, especially the periodic long-term and short-term features. In the denoising procedure, the kinetical characteristics of the motion are also considered so that the reconstructed deviation is smaller and can more accurately reflect the real action. We s
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Manns, Martin, Michael Otto, and Markus Mauer. "Measuring Motion Capture Data Quality for Data Driven Human Motion Synthesis." Procedia CIRP 41 (2016): 945–50. http://dx.doi.org/10.1016/j.procir.2015.12.068.

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Li, Bo, Chao Zhang, Cheng Han, and Baoxing Bai. "Gesture Recognition Based on Kinect v2 and Leap Motion Data Fusion." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 05 (2019): 1955005. http://dx.doi.org/10.1142/s021800141955005x.

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This study proposed a method for multiple motion-sensitive devices (i.e. one Kinect v2 and two Leap Motions) to integrate gesture data in Unity. Other depth cameras could replace the Kinect. The general steps in integrating gesture data for motion-sensitive devices were introduced as follows. (1) A method was proposed to recognize the fingertip from depth images for the Kinect v2. (2) Coordinates observed by three motion-sensitive devices were aligned in space in three steps. First, preliminary coordinate conversion parameters were obtained through joint calibration of the three devices. Secon
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I-Chen Lin, Jen-Yu Peng, Chao-Chih Lin, and Ming-Han Tsai. "Adaptive Motion Data Representation with Repeated Motion Analysis." IEEE Transactions on Visualization and Computer Graphics 17, no. 4 (2011): 527–38. http://dx.doi.org/10.1109/tvcg.2010.87.

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Wang, Xiaoting, Xiangxu Meng, Chenglei Yang, and Junqing Zhang. "Data Driven Avatars Roaming in Digital Museum." International Journal of Virtual Reality 8, no. 3 (2009): 13–18. http://dx.doi.org/10.20870/ijvr.2009.8.3.2736.

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This paper describes a motion capture (mocap) data-driven digital museum roaming system with high walking reality. We focus on three main questions: the animation of avatars; the path planning; and the collision detection among avatars. We use only a few walking clips from mocap data to synthesize walking motions with natural transitions, any direction and any length. Let the avatars roam in the digital museum with its Voronoi skeleton path, shortest path or offset path. And also we use Voronoi diagram to do collision detection. Different users can set up their own avatars and roam along their
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Dissertations / Theses on the topic "Motion data"

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Kröger, Viktor. "Classification in Functional Data Analysis : Applications on Motion Data." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184963.

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Anterior cruciate knee ligament injuries are common and well known, especially amongst athletes.These injuries often require surgeries and long rehabilitation programs, and can lead to functionloss and re-injuries (Marshall et al., 1977). This work aims to explore the possibility of applyingsupervised classification on knee functionality, using different types of models, and testing differentdivisions of classes. The data used is gathered through a performance test, where individualsperform one-leg hops with motion sensors attached to their bodies. The obtained data representsthe position over
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Miller, Iain. "Finding associations in motion capture data." Thesis, University of the West of Scotland, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729427.

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Tanco, L. Molina. "Human motion synthesis from captured data." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/844411/.

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Animation of human motion is one of the most challenging topics in computer graphics. This is due to the large number of degrees of freedom of the body and to our ability to detect unnatural motion. Keyframing and interpolation remains the form of animation that is preferred by most animators because of the control and flexibility it provides. However this is a labour intensive process that requires skills that take years to acquire. Human motion capture techniques provide accurate measurement of the motion of a performer that can be mapped onto an animated character to provide strikingly natu
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Gonzalez, Rojas Paloma (Paloma Francisca). "Space and motion : data based rules of public space pedestrian motion." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99288.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2015.<br>Title as it appears in MIT Commencement Exercises program, June 5, 2015: Space and motion : the case of pedestrian in public spaces. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 106-107).<br>The understanding of space relies on motion, as we experience space by crossing it. While in motion we sense the environment in time, interacting with space. The vision of this thesis is to incorporate people's motion into architecture design process, enabled by technology. Simul
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Larsson, Albin. "MC.d.o.t : Motion capture data och dess tillgänglighet." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9622.

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Hårdvara kan bli gammal, program kan sluta utvecklas, filer som skapats från sådan hårdvara respektive mjukvara kan bli oanvändbara med tiden. Samt att hålla ordning på många individuella filer kan i längden bli jobbigt för användare. Med en databasorienterad lagrinsgslösning kan olika API:er användas för att göra data kompatibel med flera olika verktyg och program, samt att det kan användas för att skapa en centraliserad lösning för att enkelt hålla ordning på information. Bland databaser finns det två primära grupperingar: SQL och NoSQL. Detta arbete ämnar undersöka vilken typ som passar för
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Williams, Ben H. "Extracting motion primitives from natural handwriting data." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3221.

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Humans and animals can plan and execute movements much more adaptably and reliably than current computers can calculate robotic limb trajectories. Over recent decades, it has been suggested that our brains use motor primitives as blocks to build up movements. In broad terms a primitive is a segment of pre-optimised movement allowing a simplified movement planning solution. This thesis explores a generative model of handwriting based upon the concept of motor primitives. Unlike most primitive extraction studies, the primitives here are time extended blocks that are superimposed with character s
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Rogers, Bennett Lee. "Query-by-example for motion capture data." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42255.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (p. 57-58).<br>Motion capture datasets are employed widely in animation research and industry, however there currently exists no efficient way to index and search this data for diversified use. Motion clips are generally searched by filename or keywords, neither of which incorporates knowledge of actions in the clip aside from those listed in the descriptions. We present a method for indexing and searching a large database of motion capture cl
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Wang, Zhao. "Motion capture data processing, retrieval and recognition." Thesis, Bournemouth University, 2018. http://eprints.bournemouth.ac.uk/31038/.

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Character animation plays an essential role in the area of featured film and computer games. Manually creating character animation by animators is both tedious and inefficient, where motion capture techniques (MoCap) have been developed and become the most popular method for creating realistic character animation products. Commercial MoCap systems are expensive and the capturing process itself usually requires an indoor studio environment. Procedural animation creation is often lacking extensive user control during the generation progress. Therefore, efficiently and effectively reusing MoCap d
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Svensson, Niclas. "Structure from Motion with Unstructured RGBD Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302553.

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This thesis covers the topic of depth- assisted Structure from Motion (SfM). When performing classic SfM, the goal is to reconstruct a 3D scene using only a set of unstructured RGB images. What is attempted to be achieved in this thesis is adding the depth dimension to the problem formulation, and consequently create a system that can receive a set of RGBD images. The problem has been addressed by modifying an already existing SfM pipeline and in particular, its Bundle Adjustment (BA) process. Comparisons between the modified framework and the baseline framework resulted in conclusions regardi
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Hosseini, Babak [Verfasser]. "Interpretable analysis of motion data / Babak Hosseini." Bielefeld : Universitätsbibliothek Bielefeld, 2021. http://d-nb.info/1237815509/34.

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Books on the topic "Motion data"

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Corporation, International Business Machines, ed. N Series data motion. Vervante, 2010.

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Khalid, Sayood, and United States. National Aeronautics and Space Administration., eds. Data compression for full motion video transmission. National Aeronautics and Space Administration, 1991.

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Corporation, International Business Machines, ed. IBM Infosphere Streams harnessing data in motion. Vervante, 2010.

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Gerald, Brady A., and Geological Survey (U.S.), eds. BAP: BASIC strong-motion accelerogram processing software. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Qu, Tongbin. Traffic-load forecasting using weigh-in-motion data. Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1997.

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Gerald, Brady A., and Geological Survey (U.S.), eds. BAP: BASIC strong-motion accelerogram processing software. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Gerald, Brady A., and Geological Survey (U.S.), eds. BAP: BASIC strong-motion accelerogram processing software. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Gerald, Brady A., and Geological Survey (U.S.), eds. BAP: BASIC strong-motion accelerogram processing software. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Gerald, Brady A., and Geological Survey (U.S.), eds. BAP: BASIC strong-motion accelerogram processing software. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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J, Mangum L., McPhaden Michael J, and Pacific Marine Environmental Laboratory (U.S.), eds. Temperature errors in TAO data induced by mooring motion. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1997.

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Book chapters on the topic "Motion data"

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Kokaram, Anil C. "Heuristics for Reconstructing Missing Data." In Motion Picture Restoration. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3485-5_6.

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Lerner, Alon, Yiorgos Chrysanthou, Ariel Shamir, and Daniel Cohen-Or. "Data Driven Evaluation of Crowds." In Motion in Games. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10347-6_7.

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Benter, Martin, and Peter Kuhlang. "Analysing Body Motions Using Motion Capture Data." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20040-4_12.

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Buchanan, William J. "Motion Video Compression." In Advanced Data Communications and Networks. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8670-2_7.

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Buchanan, W. "Motion Video Compression." In Advanced Data Communications and Networks. CRC Press, 2023. http://dx.doi.org/10.1201/9781003420415-7.

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Kokaram, Anil C. "Model Based Reconstruction for Missing Data." In Motion Picture Restoration. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3485-5_7.

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Bakir, Ahmed, Gheorghe Chesler, and Manny de la Torriente. "Using Core Motion to Save Motion Data." In Program the Internet of Things with Swift for iOS. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1194-6_4.

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Eargle, John M. "Typical Motion Picture Screen Losses." In Electroacoustical Reference Data. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2027-6_129.

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Lan, Rongyi, Huaijiang Sun, and Mingyang Zhu. "Text-Like Motion Representation for Human Motion Retrieval." In Intelligent Science and Intelligent Data Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36669-7_10.

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Müller, Meinard, and Tido Röder. "A Relational Approach to Content-based Analysis of Motion Capture Data." In Human Motion. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6693-1_20.

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Conference papers on the topic "Motion data"

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Hu, Yuhang, Yunzhe Wang, Ruibo Liu, Zhou Shen, and Hod Lipson. "Reconfigurable Robot Identification from Motion Data." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801809.

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G, Akshara, and Ms Sheena Mohammed. "Human Motion Recognition with Smartphone Data." In 2024 2nd International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR). IEEE, 2024. https://doi.org/10.1109/icaitpr63242.2024.10959774.

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Sei, Yuto, and Hiroki Nomiya. "Motion Analysis of the Japanese Tea Ceremony." In 2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD). IEEE, 2024. http://dx.doi.org/10.1109/bcd61269.2024.10743080.

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Carr, Thomas, and Depeng Xu. "User Privacy in Skeleton-based Motion Data." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825650.

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Andrews, Sheldon, Marc Jarvis, and Paul G. Kry. "Data-driven Fingertip Appearance for Interactive Hand Simulation." In Motion. ACM Press, 2013. http://dx.doi.org/10.1145/2522628.2522903.

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Heithausen, Cordula, Maria Meyer, Max Blaser, and Jens-Rainer Ohm. "Temporal Prediction of Motion Parameters with Interchangeable Motion Models." In 2017 Data Compression Conference (DCC). IEEE, 2017. http://dx.doi.org/10.1109/dcc.2017.30.

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Roberts, Derek, and Ying Zhu. "Motion Tracking for Volumetric Motion Capture Data." In 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW). IEEE, 2019. http://dx.doi.org/10.1109/massw.2019.00025.

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Faraway, Julian J. "Data-Based Motion Prediction." In Digital Human Modeling for Design and Engineering Conference and Exhibition. SAE International, 2003. http://dx.doi.org/10.4271/2003-01-2229.

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Hu, Yueqi, Shuangyuan Wu, Shihong Xia, Jinghua Fu, and Wei Chen. "Motion track: Visualizing variations of human motion data." In 2010 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2010. http://dx.doi.org/10.1109/pacificvis.2010.5429596.

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Ren, Cheng, Xiaoyong Lei, and Guofeng Zhang. "Motion Data Retrieval from Very Large Motion Databases." In 2011 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2011. http://dx.doi.org/10.1109/icvrv.2011.50.

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Reports on the topic "Motion data"

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Deng D. P. LONGITUDINAL MOTION - DATA PRESENTATION. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/1151258.

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Lades, M. Motion description for data compression and classification. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/8300.

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Wei, Ting, and Jon Fricker. Weigh-In-Motion Data Checking and Imputation. Purdue University, 2003. http://dx.doi.org/10.5703/1288284313349.

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NA. Ground Motion Saturation Evaluation (GMSE) Data Needs Workshop. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/837690.

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Dai, Chengxin. Exploring Data Quality of Weigh-In-Motion Systems. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1018.

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Nichols, Andrew, and Darcy Bullock. Quality Control Procedures for Weigh-in-Motion Data. Purdue University, 2004. http://dx.doi.org/10.5703/1288284313299.

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Levine, S. Interactive 3D Motion Graphics with Large Data Bases. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1453942.

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Abrahamson, Norman, Nicolas Kuehn, Zeynep Gulerce, et al. Update of the BC Hydro Subduction Ground-Motion Model using the NGA- Subduction Dataset. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2018. http://dx.doi.org/10.55461/oycd7434.

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An update to the BCHydro ground-motion model for subduction earthquakes has been developed using the 2018 PEER NGA-SUB dataset. The selected subset includes over 70,000 recordings from 1880 earthquakes. The update modifies the BCHydro model to include regional terms for the VS30 scaling, large distance (linear R) scaling, and constant terms, which is consistent with the regionalization approach used in the NGA-W2 ground-motion models. A total of six regions were considered: Cascadia, Central America, Japan, New Zealand, South America, and Taiwan. Region- independent terms are used for the smal
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Briggs, Michael J., Stephen T. Maynord, Charles R. Nickles, and Terry N. Waller. Charleston Harbor Ship Motion Data Collection and Squat Analysis. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada457976.

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Sanders, M. L. Description of ground motion data processing codes: Volume 3. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/60459.

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