A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

Giuseppe Amato; Davide Bacciu; Stefano Chessa; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Hector Lozano; Alessio Micheli; Gregory M. O´HARE; Arantxa Renteria; Claudio Vairo; Gregory M.P. O’Hare

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

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

Giuseppe Amato, Davide Bacciu, Stefano Chessa, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Hector Lozano, Alessio Micheli, Gregory M. O´HARE, Arantxa Renteria, Claudio Vairo, Gregory M.P. O’Hare

Neuroengineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	unknown
Editors	Juan F. De Paz, Hyun Yoe, Gabriel Villarrubia, Paulo Novais, Helena Lindgren, Antonio Fernández-Caballero, Andres Jiménez Ramírez
Publisher	Springer International Publishing
Pages	1-9
Number of pages	9
ISBN (Print)	978-3-319-40113-3, 9783319401133
DOIs	https://doi.org/10.1007/978-3-319-40114-0_1
Publication status	Published - 2016
Event	7th International Symposium on Ambient Intelligence, ISAmI 2016 - Seville, Spain Duration: 1 Jun 2016 → 3 Jun 2016

Publication series

Name	2194-5357

Conference

Conference	7th International Symposium on Ambient Intelligence, ISAmI 2016
Country/Territory	Spain
City	Seville
Period	1/06/16 → 3/06/16

Keywords

Ambient assisted living
Human Activity Recognition
Datasets

Project and Funding Information

Project ID
info:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICON
Funding Info
European Commission's FP7

Access to Document

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

Cite this

Amato, G., Bacciu, D., Chessa, S., Dragone, M., Gallicchio, C., Gennaro, C., Lozano, H., Micheli, A., O´HARE, G. M., Renteria, A., Vairo, C., & O’Hare, G. M. P. (2016). A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. In J. F. De Paz, H. Yoe, G. Villarrubia, P. Novais, H. Lindgren, A. Fernández-Caballero, & A. J. Ramírez (Eds.), unknown (pp. 1-9). (2194-5357). Springer International Publishing. https://doi.org/10.1007/978-3-319-40114-0_1

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title = "A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living",

abstract = "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.",

keywords = "Ambient assisted living, Human Activity Recognition, Datasets, Ambient assisted living, Human Activity Recognition, Datasets",

author = "Giuseppe Amato and Davide Bacciu and Stefano Chessa and Mauro Dragone and Claudio Gallicchio and Claudio Gennaro and Hector Lozano and Alessio Micheli and O´HARE, {Gregory M.} and Arantxa Renteria and Claudio Vairo and O{\textquoteright}Hare, {Gregory M.P.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 7th International Symposium on Ambient Intelligence, ISAmI 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

year = "2016",

doi = "10.1007/978-3-319-40114-0_1",

language = "English",

isbn = "978-3-319-40113-3",

series = "2194-5357",

publisher = "Springer International Publishing",

pages = "1--9",

editor = "{De Paz}, {Juan F.} and Hyun Yoe and Gabriel Villarrubia and Paulo Novais and Helena Lindgren and Antonio Fern{\'a}ndez-Caballero and Ram{\'i}rez, {Andres Jim{\'e}nez}",

booktitle = "unknown",

}

Amato, G, Bacciu, D, Chessa, S, Dragone, M, Gallicchio, C, Gennaro, C, Lozano, H, Micheli, A, O´HARE, GM, Renteria, A, Vairo, C & O’Hare, GMP 2016, A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. in JF De Paz, H Yoe, G Villarrubia, P Novais, H Lindgren, A Fernández-Caballero & AJ Ramírez (eds), unknown. 2194-5357, Springer International Publishing, pp. 1-9, 7th International Symposium on Ambient Intelligence, ISAmI 2016, Seville, Spain, 1/06/16. https://doi.org/10.1007/978-3-319-40114-0_1

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. / Amato, Giuseppe; Bacciu, Davide; Chessa, Stefano et al.
unknown. ed. / Juan F. De Paz; Hyun Yoe; Gabriel Villarrubia; Paulo Novais; Helena Lindgren; Antonio Fernández-Caballero; Andres Jiménez Ramírez. Springer International Publishing, 2016. p. 1-9 (2194-5357).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

AU - Amato, Giuseppe

AU - Bacciu, Davide

AU - Chessa, Stefano

AU - Dragone, Mauro

AU - Gallicchio, Claudio

AU - Gennaro, Claudio

AU - Lozano, Hector

AU - Micheli, Alessio

AU - O´HARE, Gregory M.

AU - Renteria, Arantxa

AU - Vairo, Claudio

AU - O’Hare, Gregory M.P.

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Ambient assisted living

KW - Human Activity Recognition

KW - Datasets

KW - Ambient assisted living

KW - Human Activity Recognition

KW - Datasets

UR - http://www.scopus.com/inward/record.url?scp=84976479758&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-40114-0_1

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

M3 - Conference contribution

SN - 978-3-319-40113-3

SN - 9783319401133

T3 - 2194-5357

SP - 1

EP - 9

BT - unknown

A2 - De Paz, Juan F.

A2 - Yoe, Hyun

A2 - Villarrubia, Gabriel

A2 - Novais, Paulo

A2 - Lindgren, Helena

A2 - Fernández-Caballero, Antonio

A2 - Ramírez, Andres Jiménez

PB - Springer International Publishing

T2 - 7th International Symposium on Ambient Intelligence, ISAmI 2016

Y2 - 1 June 2016 through 3 June 2016

ER -

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living

Abstract

Publication series

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Keywords

Project and Funding Information

Access to Document

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