A study on human activity recognition using accelerometer data from smartphones

Akram Bayat; Marc Pomplun; Due A. Tran

doi:10.1016/j.procs.2014.07.009

A study on human activity recognition using accelerometer data from smartphones

Akram Bayat
, Marc Pomplun
, Due A. Tran

Computer Science

University of Massachusetts Boston

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	450-457
Number of pages	8
Journal	Procedia Computer Science
Volume	34
DOIs	https://doi.org/10.1016/j.procs.2014.07.009
State	Published - 2014
Event	9th International Conference on Future Networks and Communications, FNC 2014 and the 11th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2014 - Niagara Falls, ON, Canada Duration: Aug 17 2014 → Aug 20 2014

ASJC Scopus Subject Areas

General Computer Science

Keywords

Accelerometer
Activity recognition
Smartphone

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10.1016/j.procs.2014.07.009

Cite this

@article{26852962ff644c6a950f9000680caf74,

title = "A study on human activity recognition using accelerometer data from smartphones",

keywords = "Accelerometer, Activity recognition, Smartphone",

author = "Akram Bayat and Marc Pomplun and Tran, \{Due A.\}",

year = "2014",

doi = "10.1016/j.procs.2014.07.009",

language = "English",

volume = "34",

pages = "450--457",

journal = "Procedia Computer Science",

issn = "1877-0509",

note = "9th International Conference on Future Networks and Communications, FNC 2014 and the 11th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2014 ; Conference date: 17-08-2014 Through 20-08-2014",

}

TY - JOUR

T1 - A study on human activity recognition using accelerometer data from smartphones

AU - Bayat, Akram

AU - Pomplun, Marc

AU - Tran, Due A.

PY - 2014

Y1 - 2014

KW - Accelerometer

KW - Activity recognition

KW - Smartphone

UR - https://www.scopus.com/pages/publications/84906814157

UR - https://www.scopus.com/pages/publications/84906814157#tab=citedBy

U2 - 10.1016/j.procs.2014.07.009

DO - 10.1016/j.procs.2014.07.009

M3 - Conference article

AN - SCOPUS:84906814157

SN - 1877-0509

VL - 34

SP - 450

EP - 457

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 9th International Conference on Future Networks and Communications, FNC 2014 and the 11th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2014

Y2 - 17 August 2014 through 20 August 2014

ER -

A study on human activity recognition using accelerometer data from smartphones

ASJC Scopus Subject Areas

Keywords

Access to Document

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