Preliminary Investigation of Fine-grained Gesture Recognition with Signal Super-resolution

被引：0

作者：

Yoshimura, Naoya ^{[1
]}

Maekawa, Takuya ^{[1
]}

Amagata, Daich ^{[1
]}

Hara, Takahiro ^{[1
]}

机构：

[1] Osaka Univ, Suita, Osaka, Japan

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) | 2018年

关键词：

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 study investigates the feasibility of fine-grained gesture recognition using upsampled acceleration sensor data. Because the maximum sampling rate of smartwatch devices is limited by operating systems, we simulate high resolution acceleration data using a neural network from low resolution signals in order to capture distinguishing features of gestures containing high frequency components.

引用

页数：4

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