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Journal of System Simulation

Abstract

Abstract: Museum display many exhibits, but its display way is single. The ancient buildings are displayed by texts and pictures, so it cannot bring a realistic experience to the visitors. Therefore, the ancient architectural scene roaming based on Myo combined with virtual reality is proposed. Kaifeng Tower Park is used as an example to achieve the system. In the design, system gets visitors’ acceleration and gyroscope values of forward, turn, squat and stop by wearing Myo. SVM-based gesture recognition algorithm is designed to complete the classification of feature values. Contrast experiment is designed to verify accuracy and efficiency of algorithm. Database is established to draw a line graph of its change in a fixed time. T-distribution method is used to obtain the confidence interval. Grid search and K-fold verification method are used to test the gesture recognition. 95% accuracy can be achieved in a dynamic environment. The system realizes the recognition of user gestures and improves users’ interaction with the scene. It can be widely applied to similar systems.

First Page

1907

Revised Date

2019-04-02

Last Page

1915

CLC

TP391.9

Recommended Citation

Xue Yanping, Wang Xuesong, Wu Zhongke, Wang Xingce, Zhou Mingquan. Application of Myo Gesture Recognition Method in Ancient Building Roaming System[J]. Journal of System Simulation, 2019, 31(9): 1907-1915.

DOI

10.16182/j.issn1004731x.joss.18-0847

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