Online gesture recognition system for mobile interaction

被引：0

作者：

Kallio, S ^{[1
]}

Kela, J ^{[1
]}

Mäntyjärvi, J ^{[1
]}

机构：

[1] VTT Tech Res Ctr Finland, VTT Elect, FIN-90771 Oulu, Finland

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年

关键词：

gesture recognition; mobile interaction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces an accelerometer-based online gesture recognition system. Recognition of gestures can be utilised as a part of a human computer interaction for mobile devices, e.g. cell phones, PDAs and remote controllers. Gestures are captured with a small wireless sensor-box that produces three dimensional acceleration signal. Acceleration signal is preprocessed, vector quantised and finally classified using Hidden Markov Models. The design of online gesture recognition for mobile devices sets requirements for data processing. Thus, the system uses a small size codebook and simple preprocessing methods. The recognition accuracy of system is tested with gestures of four degrees of complexity. Experimental results show great potential for recognising simple and even more complex gestures with good accuracy.

引用

页码：2070 / 2076

页数：7

共 14 条

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