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Cheng, Hong, Dai, Zhongjun, Liu, Zicheng, Zhao, Yang (2016) An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition. Pattern Recognition, 55. 137-147 doi:10.1016/j.patcog.2016.01.011

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Reference TypeJournal (article/letter/editorial)
TitleAn image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition
JournalPattern Recognition
AuthorsCheng, HongAuthor
Dai, ZhongjunAuthor
Liu, ZichengAuthor
Zhao, YangAuthor
Year2016 (July)Volume55
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2016.01.011Search in ResearchGate
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Mindat Ref. ID9366492Long-form Identifiermindat:1:5:9366492:9
GUID0
Full ReferenceCheng, Hong, Dai, Zhongjun, Liu, Zicheng, Zhao, Yang (2016) An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition. Pattern Recognition, 55. 137-147 doi:10.1016/j.patcog.2016.01.011
Plain TextCheng, Hong, Dai, Zhongjun, Liu, Zicheng, Zhao, Yang (2016) An image-to-class dynamic time warping approach for both 3D static and trajectory hand gesture recognition. Pattern Recognition, 55. 137-147 doi:10.1016/j.patcog.2016.01.011
In(2016) Pattern Recognition Vol. 55. Elsevier BV

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Tang, Jingren, Cheng, Hong, Zhao, Yang, Guo, Hongliang (2018) Structured dynamic time warping for continuous hand trajectory gesture recognition. Pattern Recognition, 80. 21-31 doi:10.1016/j.patcog.2018.02.011
Herrmann, Matthieu, Webb, Geoffrey I. (2023) Amercing: An intuitive and effective constraint for dynamic time warping. Pattern Recognition, 137. 109333 doi:10.1016/j.patcog.2023.109333
Zhou, Yimin, Jiang, Guolai, Lin, Yaorong (2016) A novel finger and hand pose estimation technique for real-time hand gesture recognition. Pattern Recognition, 49. 102-114 doi:10.1016/j.patcog.2015.07.014
Zhao, Jiaping, Itti, Laurent (2018) shapeDTW: Shape Dynamic Time Warping. Pattern Recognition, 74. 171-184 doi:10.1016/j.patcog.2017.09.020
Li, Yangke, Wei, Guangshun, Desrosiers, Christian, Zhou, Yuanfeng (2024) Decoupled and boosted learning for skeleton-based dynamic hand gesture recognition. Pattern Recognition, 153. 110536 doi:10.1016/j.patcog.2024.110536
Wang, Teng, Wu, Lin, Sun, Changyin (2022) A coarse-to-fine approach for dynamic-to-static image translation. Pattern Recognition, 123. 108373pp. doi:10.1016/j.patcog.2021.108373
Alam, Mohammad Mahmudul, Islam, Mohammad Tariqul, Rahman, S.M. Mahbubur (2022) Unified learning approach for egocentric hand gesture recognition and fingertip detection. Pattern Recognition, 121. 108200pp. doi:10.1016/j.patcog.2021.108200
Jain, Brijnesh J. (2019) Making the dynamic time warping distance warping-invariant. Pattern Recognition, 94. 35-52 doi:10.1016/j.patcog.2019.05.016
Modanwal, Gourav, Sarawadekar, Kishor (2016) Corrigendum to “Towards hand gesture based writing support system for blinds” [Pattern Recognit. 57 (2016) 50–60]. Pattern Recognition, 60. 1pp. doi:10.1016/j.patcog.2016.05.026
Padam Priyal, S., Bora, Prabin Kumar (2013) A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments. Pattern Recognition, 46 (8). 2202-2219 doi:10.1016/j.patcog.2013.01.033
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