Cited By
View all- Chan JHo E(2021)Emotion Transfer for 3D Hand and Full Body Motion Using StarGANComputers10.3390/computers1003003810:3(38)Online publication date: 22-Mar-2021
Emotion Transfer for Hand Animation
Authors: 
Ana-Sabina Irimia, Jacky C. P. Chan, Kamlesh Mistry, Wei Wei, 
Edmond S. L. HoAuthors Info & Claims
Article No.: 41, Pages 1 - 2
Abstract
We propose a new data-driven framework for synthesizing hand motion at different emotion levels. Specifically, we first capture high-quality hand motion using VR gloves. The hand motion data is then annotated with the emotion type and a latent space is constructed from the motions to facilitate the motion synthesis process. By interpolating the latent representation of the hand motion, new hand animation with different levels of emotion strength can be generated. Experimental results show that our framework can produce smooth and consistent hand motions at an interactive rate.
References
[1]
Y. Bai and C. K. Liu. 2014. Dexterous manipulation using both palm and fingers. In Proceedings of ICRA 2014. 1560–1565. https://doi.org/10.1109/ICRA.2014.6907059
[2]
Jinxiang Chai and Jessica K. Hodgins. 2005. Performance Animation from Low-dimensional Control Signals. In ACM SIGGRAPH 2005 Papers(SIGGRAPH ’05). ACM, New York, NY, USA, 686–696. https://doi.org/10.1145/1186822.1073248
[3]
Jacky C. P. Chan, Hubert P. H. Shum, He Wang, Li Yi, Wei Wei, and Edmond S. L. Ho. 2019. A generic framework for editing and synthesizing multimodal data with relative emotion strength. Computer Animation and Virtual Worlds 0, 0 (2019), e1871. https://doi.org/10.1002/cav.1871 e1871 cav.1871.
[4]
Edmond S. L. Ho, Hubert P. H. Shum, Yiu-ming Cheung, and P. C. Yuen. 2013. Topology Aware Data-Driven Inverse Kinematics. Computer Graphics Forum 32, 7 (2013), 61–70. https://doi.org/10.1111/cgf.12212
[5]
Edmond S. L. Ho, Hubert P. H. Shum, H Wang, and L Yi. 2017. Synthesizing Motion with Relative Emotion Strength. In ACM SIGGRAPH ASIA Workshop: Data-Driven Animation Techniques (D2AT). http://eprints.whiterose.ac.uk/121250/
[6]
C. Karen Liu. 2008. Synthesis of Interactive Hand Manipulation. In Proceedings of SCA ’08(SCA ’08). Eurographics Association, Aire-la-Ville, Switzerland, 163–171.
[7]
C. Karen Liu. 2009. Dextrous Manipulation from a Grasping Pose. In ACM SIGGRAPH 2009 Papers(SIGGRAPH ’09). ACM, New York, NY, USA, Article 59, 6 pages.
[8]
H. P. H. Shum, E. S. L. Ho, Y. Jiang, and S. Takagi. 2013. Real-Time Posture Reconstruction for Microsoft Kinect. IEEE Transactions on Cybernetics 43, 5 (Oct 2013), 1357–1369. https://doi.org/10.1109/TCYB.2013.2275945
[9]
Yuting Ye and C. Karen Liu. 2012. Synthesis of Detailed Hand Manipulations Using Contact Sampling. ACM Trans. Graph. 31, 4, Article 41 (July 2012), 10 pages.
- Emotion Transfer for Hand Animation
Recommendations
Sleight of hand: perception of finger motion from reduced marker sets
I3D '12: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and GamesSubtle animation details such as finger or facial movements help to bring virtual characters to life and increase their appeal. However, it is not always possible to capture finger animations simultaneously with full-body motion, due to limitations of ...
Building Hand Motion-Based Character Animation: The Case of Puppetry
CW '10: Proceedings of the 2010 International Conference on CyberworldsAutomatic motion generation for digital character under the real-time user control is a challenging problem for computer graphic research and virtual environment applications such as on-line games. The present study introduces a methodology to generate ...
Motion Capture and Emotion: Affect Detection in Whole Body Movement
ACII '07: Proceedings of the 2nd international conference on Affective Computing and Intelligent InteractionBodily expression of felt emotion was associated with emotion-specific changes in gait parameters and kinematics. The emotions angry, sad, content, joy and no emotion at all were elicited in forty-two undergraduates (22 female, 20 male; 20.1±2.7 yrs) ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
October 2019
329 pages
ISBN:9781450369947
DOI:10.1145/3359566
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 October 2019
Check for updates
Author Tags
Qualifiers
- Abstract
- Research
- Refereed limited
Conference
MIG '19
Sponsor:
Acceptance Rates
Overall Acceptance Rate -9 of -9 submissions, 100%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 123Total Downloads
- Downloads (Last 12 months)4
- Downloads (Last 6 weeks)1
Reflects downloads up to 01 Mar 2025
Other Metrics
Citations
Cited By
View all- Chan JHo E(2021)Emotion Transfer for 3D Hand and Full Body Motion Using StarGANComputers10.3390/computers1003003810:3(38)Online publication date: 22-Mar-2021
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format