Human Activity Recognition Using Smartphone Sensors

被引：3

作者：

Bugdol, Marcin D. ^{[1
]}

Mitas, Andrzej W. ^{[1
]}

Grzegorzek, Marcin ^{[2
]}

Meyer, Robert ^{[3
]}

Wilhelm, Christoph ^{[2
]}

机构：

[1] Silesian Tech Univ, Fac Biomed Engn, Roosevelta 40, Zabrze, Poland

[2] Univ Siegen, Pattern Recognit Grp, Hoelderlinstr 3, D-57076 Siegen, Germany

[3] Tech Univ Berlin, Neural Informat Proc Grp, Marchstr 23, D-10587 Berlin, Germany

来源：

INFORMATION TECHNOLOGIES IN MEDICINE (ITIB 2016), VOL 2 | 2016年 / 472卷

关键词：

Human activity recognition; Smartphones; Support vector machine; CLASSIFICATION;

D O I：

10.1007/978-3-319-39904-1_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper a human activity recognition system has been presented based on the data gathered with the smartphone sensors. The acceleration, magnetic field and sound have been registered and four different activities of daily living has been recognized i.e. riding a bike, driving in a car, walking and sitting. Two version of Support Vector Machine (SVM) classifier have been employed and the obtained results are promising.

引用

页码：41 / 47

页数：7

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