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Emerging Directions in Virtual Worlds and Biometric Security Research Read chapter Read first chapter

2017 | OriginalPaper | Chapter

The Man-Machine Finger-Guessing Game Based on Cooperation Mechanism

Authors : Xiaoyan Zhou, Zhiquan Feng, Yu Qiao, Xue Fan, Xiaohui Yang

Published in: Transactions on Computational Science XXX

Publisher: Springer Berlin Heidelberg

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Abstract

In this study, a Man-machine Finger-guessing game is designed based on the IntelliSense and Man-machine coordination mechanism of hand gesture. The image sequence is obtained by the Kinect and the human hand is extracted using segmentation and skin color modeling. The proposed SCDDF (Shape Context Density Distribution Feature), which combined DDF (Density Distribution Feature) algorithm and shape context recognition algorithm, is used to extract gesture identity. Gestures are finally identified by registering with templates in the pre-established gesture library. Furthermore, we proposed a new human-computer cooperative mechanism, including two points: (1) The virtual interface is used to control the ‘Midas Touch problem’. (2) The whole game is more natural and smooth. In the aspect of gesture recognition, we combined DDF algorithm and shape context recognition algorithm, and proposed the SCDDF algorithm. The new algorithm improved recognition rate by 14.3% compared with DDF algorithm.

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previous chapter Comparison Analysis of Overt and Covert Mental Stimuli of Brain Signal for Person Identification
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Metadata
Title
The Man-Machine Finger-Guessing Game Based on Cooperation Mechanism
Authors
Xiaoyan Zhou
Zhiquan Feng
Yu Qiao
Xue Fan
Xiaohui Yang
Copyright Year
2017
Publisher
Springer Berlin Heidelberg
Book
Transactions on Computational Science XXX

Print ISBN: 978-3-662-56005-1

Electronic ISBN: 978-3-662-56006-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-662-56006-8_6

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