Dynamic gesture recognition based on deep information feature fusion

Pan Ou; Qingfeng Yu; Moran Chen

doi:10.1088/1742-6596/1345/5/052067

Dynamic gesture recognition based on deep information feature fusion

Pan Ou
, Qingfeng Yu^*
, Moran Chen

^*此作品的通讯作者

仪器科学与光电工程学院

Beihang University

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.

源语言	英语
文章编号	052067
期刊	Journal of Physics: Conference Series
卷	1345
期	5
DOI	https://doi.org/10.1088/1742-6596/1345/5/052067
出版状态	已出版 - 28 11月 2019
活动	2nd International Conference on Computer Information Science and Application Technology, CISAT 2019 - Guangzhou, 中国期限: 30 8月 2019 → 1 9月 2019

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title = "Dynamic gesture recognition based on deep information feature fusion",

abstract = "Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.",

author = "Pan Ou and Qingfeng Yu and Moran Chen",

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N2 - Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.

AB - Gesture recognition, as one of the mature fields in the field of human-computer interaction, determines whether it can be applied in the field of contactless remote control. This paper focuses on the evolution of low level deep features to high level high recognition ability, but also has a concise descriptor, and from the depth map to improve the recognition rate of dynamic gesture recognition.

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DO - 10.1088/1742-6596/1345/5/052067

M3 - 会议文章

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Dynamic gesture recognition based on deep information feature fusion

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