Mova: Interactive movement analytics platform

ACM International Conference Proceeding Series

Volumn , Issue , 2014, Pages 37-42

  Alemi, Omid ^a   Pasquier, Philippe ^a   Shaw, Chris ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Human movement analysis; Movement feature extraction; Movement visualization

Indexed keywords

ARTS COMPUTING; DATA VISUALIZATION; INFORMATION SYSTEMS; VISUALIZATION;

FEATURE EXTRACTION METHODS; HUMAN MOVEMENT ANALYSIS; HUMAN MOVEMENTS; INFORMATION VISUALIZATION; MOVEMENT ANALYSIS; MULTIPLE FEATURES; PARALLEL VISUALIZATION; QUALITATIVE CHARACTERISTICS;

FEATURE EXTRACTION;

EID: 84903979403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2617995.2618002     Document Type: Conference Paper

References (18)

1. G. Aisch. Mastering Multi-hued Color Scales with Chroma.js, Dec 2013. URL https://vis4.net/blog/posts/mastering-multi-hued-color-scales/. Accessed: 2013-12-15.
2. J. Assa, Y. Caspi, and D. Cohen-Or. Action synopsis: pose selec- tion and illustration. ACM Transactions on Graphics (TOG), 24(3):667-676, 2005.
3. F. Bevilacqua, F. Guedy, N. Schnell, E. Flety, and N. Leroy. Wire-less sensor interface and gesture-follower for music pedagogy. In Proceedings of the 7th International Conference on New interfaces for Musical Expression, NIME, page 124-129, 2007.
4. M. Bostock. Data-Driven Documents (d3.js), Dec 2013. URL http://d3js.org/. Accessed: 2013-12-15.
5. A. Camurri, M. Ricchetti, and R. Trocca. EyesWeb-toward gesture and affect recognition in dance/music interactive systems. In IEEE International Conference on Multimedia Computing and Systems, 1999, volume 1, pages 643-648 vol.1, 1999.
6. K. Carlson, T. Schiphorst, and C. Shaw. Actionplot: A visualiza- tion tool for contemporary dance analysis. In Proceedings of the International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, pages 113-120, 2011.
7. Y. Hu, S. Wu, S. Xia, J. Fu, and W. Chen. Motion track: Visualizing variations of human motion data. In Pacific Visualization Symposium (PacificVis), 2010 IEEE, pages 153-160, 2010.
8. M. Kapadia, I. Chiang, T. Thomas, N. Badler, and J. Kider, Jr. Efficient motion retrieval in large motion databases. In Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D '13, pages 19-28, New York, NY, USA, 2013.
9. D. Maranan, S. Fdili Alaoui, P. Schiphorst, T. Pasquier, P. Subyen, and L. Bartram. Designing for movement: Evaluating computational models using LMA effort qualities. In Proceedings of ACM SIGCHI Conference on Human Factors in Com- puting Systems (CHI), 2014.
10. H. Mentis and C. Johansson. Seeing movement qualities. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, page 3375-3384, New York, NY, USA, 2013. ACM.
11. M. Palazzi and N. Shaw. Synchronous objects for one flat thing, Dec 2013. URL http://synchronousobjects.osu.edu. Accessed: 2013-12-15.
12. R. Perret. Bodycloud. Master's thesis, Zucher Hochschule der Kunste, Germany, 2009.
13. Y. Sakamoto, S. Kuriyama, and T. Kaneko. Motion map: Image- based retrieval and segmentation of motion data. In Proceedings of the 2004 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA '04, pages 259-266, 2004.
14. P. Subyen, T. Schiphorst, and P. Pasquier. EMVIZ(flow): An artistic tool for visualizing movement quality. In Proceedings of Electronic Visualisation and the Arts (EVA 2013), 2013.
15. The jQuery Foundation. jQuery, Dec 2013. URL http://jquery.com/. Accessed: 2013-12-15.
16. G. Volpe. Computational models of expressive gesture in multimedia systems. Phd thesis, InfoMus Lab, DIST-University of Genova, 2003.
17. H. Yasuda, R. Kaihara, S. Saito, and M. Nakajima. Motion belts: Visualization of human motion data on a timeline. IEICE - Transactions on Information Systems, E91-D(4):1159-1167, Apr. 2008.
18. L. Zhao and N. Badler. Acquiring and validating motion qualities from live limb gestures. Graph. Models, 67(1):1-16, Jan. 2005.