Polar Sine Based Siamese Neural Network for Gesture Recognition

被引：0

作者：

Berlemont, Samuel ^{[1
]}

Lefebvre, Gregoire ^{[1
]}

Duffner, Stefan ^{[2
]}

Garcia, Christophe ^{[2
]}

机构：

[1] Orange Labs, R&D, Grenoble, France

[2] INSA Lyon, LIRIS, UMR CNRS 5205, F-69621 Villeurbanne, France

来源：

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT II | 2016年 / 9887卷

关键词：

Siamese neural network; Metric learning; Polar sine; Gesture recognition;

D O I：

10.1007/978-3-319-44781-0_48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Our work focuses on metric learning between gesture sample signatures using Siamese Neural Networks (SNN), which aims at modeling semantic relations between classes to extract discriminative features. Our contribution is the notion of polar sine which enables a redefinition of the angular problem. Our final proposal improves inertial gesture classification in two challenging test scenarios, with respective average classification rates of 0.934 +/- 0.011 and 0.776 +/- 0.025.

引用

页码：406 / 414

页数：9

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