Multimodal Gesture Recognition Based on Choquet Integral

被引：0

作者：

Hirota, K. ^{[1
]}

Vu, H. A. ^{[1
]}

Le, P. Q. ^{[1
]}

Fatichah, C. ^{[1
]}

Liu, Z. ^{[1
]}

Tang, Y. ^{[1
]}

Tangel, M. L. ^{[1
]}

Mu, Z. ^{[1
]}

Sun, B. ^{[1
]}

Yan, F. ^{[1
]}

Masano, D. ^{[1
]}

Thet, O. ^{[1
]}

Yamaguchi, M. ^{[1
]}

Dong, F. ^{[1
]}

Yamazaki, Y. ^{[2
]}

机构：

[1] Tokyo Inst Technol, Dept Computat Intelligence & Syst Sci, Yokohama, Kanagawa 227, Japan

[2] Kanto Gakuin Univ, Dept Electr Electron & Informat Engn, Yokohama, Kanagawa, Japan

来源：

IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年

关键词：

Gesture Recognition; Sensor Fusion; Choquet Integral; Human-Robot Interaction; 3D Accelerometer;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A multimodal gesture recognition method is proposed based on Choquet integral by fusing information from camera and 3D accelerometer data. By calculating the optimal fuzzy measures for the camera recognition module and the accelerometer recognition module, the proposal obtains enough recognition rate 92.7% in average for 8 types of gestures by improving the recognition rate approximate 20% compared to that of each module. The proposed method aims to realize the casual communication from humans to robots by integrating nonverbal gesture messages and verbal messages.

引用

页码：772 / 776

页数：5

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