{"title":"Automatic Composition by Body-Part Motion Synthesis for Supporting Dance Creation","authors":"Yuho Yazaki, A. Soga, Bin Umino, M. Hirayama","doi":"10.1109/CW.2015.26","DOIUrl":"https://doi.org/10.1109/CW.2015.26","url":null,"abstract":"This paper describes a system for supporting the creation of contemporary dance choreography using 3D motion data acquired by motion capture. We developed a system that automatically generates short choreographies by combining a basic motion with multiple body-part motions. The generated choreographies are simulated in 3D animation. It runs on a tablet, so users can select a basic motion and body-part categories by touch operations. The motions are selected and synthesized to the base motion at random timing. To reduce the partial motion synthesis and increase the variety of the generated choreographies, the synthesis timing is adjusted. We experimentally evaluated the effectiveness of our system with eight dancers. From questionnaire results gathered after the experiment, we received many comments about the effectiveness for creation of dance, training of dance techniques, and understanding of dance movements.","PeriodicalId":319492,"journal":{"name":"2015 International Conference on Cyberworlds (CW)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128110541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Open Framework Facilitating Automatic Generation of CG Animation from Web Site","authors":"M. Hayashi, Steven Bachelder, M. Nakajima","doi":"10.1109/CW.2015.11","DOIUrl":"https://doi.org/10.1109/CW.2015.11","url":null,"abstract":"We have been studying and developing the system which enables to generate Computer Graphics Animation (CGA) automatically by processing HTML data of Web site. In this paper, we propose an open framework to facilitate this. The framework is functioning all at a server side, obtaining the HTML, converting it to a script describing the CGA story and updating the script. And at a client side, a user accesses the script on the server to visualize it by using real-time CG character with synthesized voice, camera work, superimposing, sound file playback etc. We have constructed the framework on the server and deployed the substantial engines to convert Web sites to CGAs. This paper describes the detail of the framework and also shows some example projects providing automatically generated News show, Talk show and personal Blog visualization.","PeriodicalId":319492,"journal":{"name":"2015 International Conference on Cyberworlds (CW)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132223344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graph Cut Based Mesh Segmentation Using Feature Points and Geodesic Distance","authors":"Lei Liu, Y. Sheng, Guixu Zhang, H. Ugail","doi":"10.1109/CW.2015.31","DOIUrl":"https://doi.org/10.1109/CW.2015.31","url":null,"abstract":"Both prominent feature points and geodesic distance are key factors for mesh segmentation. With these two factors, this paper proposes a graph cut based mesh segmentation method. The mesh is first preprocessed by Laplacian smoothing. According to the Gaussian curvature, candidate feature points are then selected by a predefined threshold. With DBSCAN (Density-Based Spatial Clustering of Application with Noise), the selected candidate points are separated into some clusters, and the points with the maximum curvature in every cluster are regarded as the final feature points. We label these feature points, and regard the faces in the mesh as nodes for graph cut. Our energy function is constructed by utilizing the ratio between the geodesic distance and the Euclidean distance of vertex pairs of the mesh. The final segmentation result is obtained by minimizing the energy function using graph cut. The proposed algorithm is pose-invariant and can robustly segment the mesh into different parts in line with the selected feature points.","PeriodicalId":319492,"journal":{"name":"2015 International Conference on Cyberworlds (CW)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126935283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D Maquetter: Sketch-Based 3D Content Modeling for Digital Earth","authors":"Kaveh Ketabchi, Adam Runions, F. Samavati","doi":"10.1109/CW.2015.41","DOIUrl":"https://doi.org/10.1109/CW.2015.41","url":null,"abstract":"We present a sketch-based system for the creation and editing 3D content such as Digital Elevation Models, vegetation and bodies of water for Digital Earth representations. The proposed system employs a set of sketch-based tools to integrate commonly available data sources, such as orthophotos and Digital Elevation Models (DEM), to facilitate the rapid creation and integration of detailed geospatial content. Consequently, our system can be used to enhance the quality of Digital Earth data by enabling the straightforward creation of new 3D landscape elements.","PeriodicalId":319492,"journal":{"name":"2015 International Conference on Cyberworlds (CW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yisi Liu, W. L. Lim, Xiyuan Hou, O. Sourina, Lipo Wang
{"title":"Prediction of Human Cognitive Abilities Based on EEG Measurements","authors":"Yisi Liu, W. L. Lim, Xiyuan Hou, O. Sourina, Lipo Wang","doi":"10.1109/CW.2015.47","DOIUrl":"https://doi.org/10.1109/CW.2015.47","url":null,"abstract":"The difference in cognitive abilities of humans could be assessed by indexes extracted from EEG. In this paper, we propose and implement an experiment with 60 subjects to study how cognitive abilities can be identified through EEG. We analyzed parameters of the individual frequency band that can be used for prediction of cognitive abilities of subjects. In the experiment, the subjects performed cognitive tests with EEG recording done prior to the tests. Different patterns of alpha band activity are proven to be indicators of cognitive abilities and performances. Our hypothesis is that cognitive abilities can be predicted based on EEG measurements. The results of analysis of the experiment show significant correlation between subjects' cognitive abilities assessed by the tests and the EEG measurements.","PeriodicalId":319492,"journal":{"name":"2015 International Conference on Cyberworlds (CW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}