Application of Kinect-based Motion Recognition Algorithm in Cultural Tourism

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.