abstract

Human grasping interaction capture and analysis

Authors:

Benjamin Verdier,

Sheldon Andrews,

Paul G. KryAuthors Info & Claims

SCA '17: Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation

Article No.: 23, Pages 1 - 2

https://doi.org/10.1145/3099564.3108163

Published: 28 July 2017 Publication History

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Abstract

We design a system to capture, clean, and segment a high quality database of hand based grasping and manipulation. We capture interactions with a large collection of everyday objects. Optical marker-based motion capture and glove data are combined in a physics-based filter to improve the quality of thumb motion. Sensors stitched into our glove provide recordings of the pressure image across the fingers and the palm. We evaluate different segmentation techniques for processing motion and pressure data. Finally, we describe examples that explain how the data will be useful in applications such as virtual reality and the design of physics-based control of virtual and robotic hands.

References

[1]

Jernej Barbič, Alla Safonova, Jia-Yu Pan, Christos Faloutsos, Jessica K Hodgins, and Nancy S Pollard. 2004. Segmenting motion capture data into distinct behaviors. In Proceedings of Graphics Interface 2004. Canadian Human-Computer Communications Society, 185--194.

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[2]

Paul G Kry and Dinesh K Pai. 2006. Interaction capture and synthesis. ACM Transactions on Graphics (TOG) 25, 3 (2006), 872--880.

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[3]

Marco Santello, Martha Flanders, and John F Soechting. 1998. Postural hand synergies for tool use. Journal of Neuroscience 18, 23 (1998), 10105--10115.

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Cited By

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Pruszko LGu HBourgeois JLaurillau YCoutrix C(2023)Modular Tangible User Interfaces: Impact of Module Shape and Bonding Strength on InteractionProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572731(1-15)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572731
Worgan PReuss KMueller SKuznetsov SSaakes DWakkary RGeurts LHayes LLau M(2019)Integrating Electronic Components into Deformable Objects Based on User Interaction DataProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3295629(345-350)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3294109.3295629
Pontes HDuarte JPinheiro P(2018)A software library for sign recognition through natural interface devices2018 13th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2018.8399280(1-6)Online publication date: Jun-2018
https://doi.org/10.23919/CISTI.2018.8399280

Index Terms

Human grasping interaction capture and analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        Motion capture
  2. Computer graphics
    1. Animation
      1. Motion processing

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Information & Contributors

Information

Published In

SCA '17: Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation

July 2017

212 pages

ISBN:9781450350914

DOI:10.1145/3099564

Conference Chairs:
Joseph Teran
UCLA
,
Changxi Zheng
Columbia University
,
Editor:
Stephen N. Spencer
University of Washington
,
Program Chairs:
Bernhard Thomaszewski
Disney Research Zurich
,
KangKang Yin
National University of Singapore

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2017

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SCA '17

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SIGGRAPH
EUROGRAPHICS

SCA '17: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation

July 28 - 30, 2017

California, Los Angeles

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Overall Acceptance Rate 183 of 487 submissions, 38%

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Cited By

View all

Pruszko LGu HBourgeois JLaurillau YCoutrix C(2023)Modular Tangible User Interfaces: Impact of Module Shape and Bonding Strength on InteractionProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572731(1-15)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572731
Worgan PReuss KMueller SKuznetsov SSaakes DWakkary RGeurts LHayes LLau M(2019)Integrating Electronic Components into Deformable Objects Based on User Interaction DataProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3295629(345-350)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3294109.3295629
Pontes HDuarte JPinheiro P(2018)A software library for sign recognition through natural interface devices2018 13th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2018.8399280(1-6)Online publication date: Jun-2018
https://doi.org/10.23919/CISTI.2018.8399280

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Recommendations

The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments

Freehand grasping in mixed reality: analysing variation during transition phase of interaction

Coordinated Control of Reaching and Grasping During Prehension Movement