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Fine Grained Group Gesture Detection Using Wearable Devices

Published: 22 February 2019 Publication History

Abstract

No abstract available.

References

[1]
D. Gordon, J. Hanne, M. Berchtold, A. A. N. Shirehjini, and M. Beigl. 2013. Towards Collaborative Group Activity Recognition Using Mobile Devices. Mobile Networks and Applications (2013), 326--340.
[2]
R. Sen, Y. Lee, K. Jayarajah, A. Misra, and R. K. Balan. 2014. GruMon: Fast and Accurate Group Monitoring for Heterogeneous Urban Spaces. In SenSys.
[3]
N. Yu, Y. Zhao, Q. Han, W. Zhu, and H. Wu. 2016. Identification of Partitions in a Homogeneous Activity Group Using Mobile Devices. Mobile Information Systems 2016 (2016), 3545327:1--3545327:14.

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  1. Fine Grained Group Gesture Detection Using Wearable Devices

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    cover image ACM Conferences
    HotMobile '19: Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications
    February 2019
    200 pages
    ISBN:9781450362733
    DOI:10.1145/3301293
    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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    Published: 22 February 2019

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    Author Tags

    1. group detection
    2. wearable devices

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