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tARget: limbs movement guidance for learning physical activities with a video see-through head-mounted display

Published: 12 August 2018 Publication History

Abstract

In the aging society, people are paying more attention to having good exercise habits. The advancement of technology grants the possibility of learning various kinds of exercises using multi-media equipment, for example, watching instruction videos. However, it is difficult for users to learn accurate movements due to lack of feedback information.

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References

[1]
Philo Tan Chua, Rebecca Crivella, Bo Daly, Ning Hu, Russ Schaaf, David Ventura, Todd Camill, Jessica Hodgins, and Randy Pausch. 2003. Training for physical tasks in virtual environments: Tai Chi. In Virtual Reality, 2003. Proceedings. IEEE. IEEE, 87--94.
[2]
Ping-Hsuan Han, Kuan-Wen Chen, Chen-Hsin Hsieh, Yu-Jie Huang, and Yi-Ping Hung. 2016. Ar-arm: Augmented visualization for guiding arm movement in the first-person perspective. In Proceedings of the 7th Augmented Human International Conference 2016. ACM, 31.
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Chun-Jui Lai, Ping-Hsuan Han, Han-Lei Wang, and Yi-Ping Hung. 2016. Exploring Manipulation Behavior on Video See-Through Head-Mounted Display with View Interpolation. In Asian Conference on Computer Vision Workshops. Springer, 258--270.
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Rajinder Sodhi, Hrvoje Benko, and Andrew Wilson. 2012. LightGuide: projected visualizations for hand movement guidance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 179--188.
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William Steptoe, Simon Julier, and Anthony Steed. 2014. Presence and discernability in conventional and non-photorealistic immersive augmented reality. In Mixed and Augmented Reality (ISMAR), 2014 IEEE International Symposium on. IEEE, 213--218.
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Shuo Yan, Gangyi Ding, Zheng Guan, Ningxiao Sun, Hongsong Li, and Longfei Zhang. 2015. OutsideMe: Augmenting Dancer's External Self-Image by Using A Mixed Reality System. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 965--970.
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Zhengyou Zhang. 2000. A flexible new technique for camera calibration. IEEE Transactions on pattern analysis and machine intelligence 22, 11 (2000), 1330--1334.

Cited By

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  • (2022)ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose EstimationProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545663(1-14)Online publication date: 29-Oct-2022
  • (2022)MobileTutAR: a Lightweight Augmented Reality Tutorial System using Spatially Situated Human Segmentation VideosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519639(1-8)Online publication date: 27-Apr-2022

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  1. tARget: limbs movement guidance for learning physical activities with a video see-through head-mounted display

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    cover image ACM Conferences
    SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
    August 2018
    148 pages
    ISBN:9781450358170
    DOI:10.1145/3230744
    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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    Publication History

    Published: 12 August 2018

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    1. augmented reality
    2. body movement guidance

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    • (2022)ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose EstimationProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545663(1-14)Online publication date: 29-Oct-2022
    • (2022)MobileTutAR: a Lightweight Augmented Reality Tutorial System using Spatially Situated Human Segmentation VideosExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519639(1-8)Online publication date: 27-Apr-2022

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