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Application of Kinect-based Motion Recognition Algorithm in Cultural Tourism

Published: 14 December 2018 Publication History

Abstract

With the improvement of people's living standards, cultural tourism has become one of the main ways for people to enjoy daily entertainment. In order to enrich the digital entertainment experience in the process of cultural tourism and promote traditional cultural communication in a novel and interesting way, we studied the human motion recognition algorithm based on the global body part features and the joint space local constraint features based on the bone data obtained by Kinect,. We designed a pose simulation game with the theme of Dunhuang mural culture in China, and developed a somatosensory interactive machine hardware facility for convenient experience. This game has fully played the role of digital somatosensory interactive experience. Users can fully mobilize the subjective initiative of the body in the process of participation, and get close to traditional culture, providing a new experience mode for cultural tourism activities.

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    ICNCC '18: Proceedings of the 2018 VII International Conference on Network, Communication and Computing
    December 2018
    372 pages
    ISBN:9781450365536
    DOI:10.1145/3301326
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 14 December 2018

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    Author Tags

    1. Cultural tourism
    2. motion recognition
    3. somatosensory game

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