Open Access

Applied Sciences (Switzerland), volume 7, issue 10, pages 1101

UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

Daniela Micucci ¹

Marco Mobilio ¹

Paolo Napoletano ¹

Hide authors affiliations Show authors affiliations: 1 affiliation

Department of Informatics, System and Communication, University of Milano Bicocca, Viale Sarca 336, 20126 Milan, Italy |

Publication type: Journal Article

Publication date: 2017-10-24

MDPI

Journal: Applied Sciences (Switzerland)

scimago Q2

SJR: 0.508

CiteScore: 5.3

Impact factor: 2.5

ISSN: 20763417

DOI: 10.3390/app7101101

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Computer Science Applications

Process Chemistry and Technology

General Materials Science

Instrumentation

General Engineering

Fluid Flow and Transfer Processes

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Micucci D., Mobilio M., Napoletano P. UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones // Applied Sciences (Switzerland). 2017. Vol. 7. No. 10. p. 1101.

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Micucci D., Mobilio M., Napoletano P. UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones // Applied Sciences (Switzerland). 2017. Vol. 7. No. 10. p. 1101.

RIS |

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RIS Copy

TY - JOUR

DO - 10.3390/app7101101

UR - https://doi.org/10.3390/app7101101

TI - UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

T2 - Applied Sciences (Switzerland)

AU - Micucci, Daniela

AU - Mobilio, Marco

AU - Napoletano, Paolo

PY - 2017

DA - 2017/10/24

PB - MDPI

SP - 1101

IS - 10

VL - 7

SN - 2076-3417

ER -

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@article{2017_Micucci,

author = {Daniela Micucci and Marco Mobilio and Paolo Napoletano},

title = {UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones},

journal = {Applied Sciences (Switzerland)},

year = {2017},

volume = {7},

publisher = {MDPI},

month = {oct},

url = {https://doi.org/10.3390/app7101101},

number = {10},

pages = {1101},

doi = {10.3390/app7101101}

}

MLA

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MLA Copy

Micucci, Daniela, et al. “UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones.” Applied Sciences (Switzerland), vol. 7, no. 10, Oct. 2017, p. 1101. https://doi.org/10.3390/app7101101.

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Publisher

MDPI

Journal

Applied Sciences (Switzerland)

scimago Q2

SJR

0.508

CiteScore

5.3

Impact factor

2.5

ISSN

20763417 (Electronic)

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