A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

被引：9

作者：

Amato, Giuseppe ^{[1
]}

Bacciu, Davide ^{[2
]}

Chessa, Stefano ^{[1
,2
]}

Dragone, Mauro ^{[3
]}

Gallicchio, Claudio ^{[2
]}

Gennaro, Claudio ^{[1
]}

Lozano, Hector ^{[4
]}

Micheli, Alessio ^{[2
]}

O'Hare, Gregory M. P. ^{[5
]}

Renteria, Arantxa ^{[4
]}

Vairo, Claudio ^{[1
]}

机构：

[1] CNR, ISTI, Via Moruzzi 1, I-56124 Pisa, Italy

[2] Univ Pisa, Dept Comp Sci, Largo Pontecorvo 3, Pisa, Italy

[3] Heriot Watt Univ, Sensors Signals & Syst, Edinburgh, Midlothian, Scotland

[4] Tecnalia, Bilbao, Spain

[5] Univ Coll Dublin, Dublin, Ireland

来源：

AMBIENT INTELLIGENCE - SOFTWARE AND APPLICATIONS (ISAMI 2016) | 2016年 / 476卷

关键词：

Ambient assisted living; Human Activity Recognition; Datasets; SYSTEMS;

D O I：

10.1007/978-3-319-40114-0_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a data benchmark for the assessment of human activity recognition solutions, collected as part of the EU FP7 RUBICON project, and available to the scientific community. The dataset provides fully annotated data pertaining to numerous user activities and comprises synchronized data streams collected from a highly sensor-rich home environment. A baseline activity recognition performance obtained through an Echo State Network approach is provided along with the dataset.

引用

页码：1 / 9

页数：9

共 20 条

[1]

Amato G., 2015, J INTELLIGE IN PRESS

[2]

Amato Giuseppe., 2012, ICSNC 2012 7 INT C S, P35

[3]

[Anonymous], 2014, RECENT ADV NEURAL NE

[4]

[Anonymous], 2009, ICRA WORKSH OP SOURC