z A Gesture Recognition based on Accelerometer and Hidden Markov Model for Human Computer Communication

被引：0

作者：

Wang, Shu-Lin ^{[1
]}

Zhang, Zhe-George ^{[2
]}

Guo, You-Gang ^{[3
]}

机构：

[1] Natl Taichung Univ Sci & Technol, Dept Informat Management, 129 Sec 3,Sanmin Rd, Taichung, Taiwan

[2] Simon Fraser Univ, Management Sci, Beedie Sch Business, Burnaby, BC, Canada

[3] Natl Taichung Univ Sci & Technol, Dept Informat Applicat & Technol, Taichung, Taiwan

来源：

APPLIED SCIENCE AND PRECISION ENGINEERING INNOVATION, PTS 1 AND 2 | 2014年 / 479-480卷

关键词：

Gesture Recognition; Hidden Markov Model; Accelerometer; Human Computer Interaction; Human Computer Communication; SYSTEM;

D O I：

10.4028/www.scientific.net/AMM.479-480.938

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

With the continuous improvement of information technology, remote controls are widely used in smart living, robot control, Sign language systems, and so on. However, the human-computer communication becomes more diversified in the future. In particular, users may not feel intuitive with a special application or in a remote control environment. This study uses the Nintendo Wii remote as a human-computer interface device to capture motion data by built-in three-axis accelerometer sensor. Hand Gestures are recognized by the Hidden Markov Model. Finally, this study had issued a Gesture Recognition approach for intelligent interactive system design and for future study.

引用

页码：938 / +

页数：2

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