Low-power activity recognition from triaxial accelerometer data

Maximiliano Chiossi; Matias Miguez

doi:10.1109/PRIME-LA47693.2020.9062703

Low-power activity recognition from triaxial accelerometer data

Maximiliano Chiossi, Matias Miguez

Department of Engineering

Universidad Católica del Uruguay

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

Abstract

In this work, a low power triaxial accelerometer data acquisition prototype is presented, which is used to derive physical activity recognition algorithms to be used for implantable or wearable applications. There different characterization methods were implemented and can predict the different activities with good accuracy (380 cases out of 386).

Original language	English
Title of host publication	PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728131467
DOIs	https://doi.org/10.1109/PRIME-LA47693.2020.9062703
State	Published - Feb 2020
Event	3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, PRIME-LA 2020 - San Jose, Costa Rica Duration: 25 Feb 2020 → 28 Feb 2020

Publication series

Name	PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings

Conference

Conference	3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, PRIME-LA 2020
Country/Territory	Costa Rica
City	San Jose
Period	25/02/20 → 28/02/20

Keywords

Low power
accelerometer
activity recognition

Access to Document

10.1109/PRIME-LA47693.2020.9062703

Cite this

Chiossi, M., & Miguez, M. (2020). Low-power activity recognition from triaxial accelerometer data. In PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings Article 9062703 (PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRIME-LA47693.2020.9062703

Chiossi, Maximiliano ; Miguez, Matias. / Low-power activity recognition from triaxial accelerometer data. PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings).

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title = "Low-power activity recognition from triaxial accelerometer data",

abstract = "In this work, a low power triaxial accelerometer data acquisition prototype is presented, which is used to derive physical activity recognition algorithms to be used for implantable or wearable applications. There different characterization methods were implemented and can predict the different activities with good accuracy (380 cases out of 386).",

keywords = "Low power, accelerometer, activity recognition",

author = "Maximiliano Chiossi and Matias Miguez",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, PRIME-LA 2020 ; Conference date: 25-02-2020 Through 28-02-2020",

year = "2020",

month = feb,

doi = "10.1109/PRIME-LA47693.2020.9062703",

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series = "PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Chiossi, M & Miguez, M 2020, Low-power activity recognition from triaxial accelerometer data. in PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings., 9062703, PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, PRIME-LA 2020, San Jose, Costa Rica, 25/02/20. https://doi.org/10.1109/PRIME-LA47693.2020.9062703

Low-power activity recognition from triaxial accelerometer data. / Chiossi, Maximiliano; Miguez, Matias.
PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9062703 (PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings).

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

TY - GEN

T1 - Low-power activity recognition from triaxial accelerometer data

AU - Chiossi, Maximiliano

AU - Miguez, Matias

PY - 2020/2

Y1 - 2020/2

N2 - In this work, a low power triaxial accelerometer data acquisition prototype is presented, which is used to derive physical activity recognition algorithms to be used for implantable or wearable applications. There different characterization methods were implemented and can predict the different activities with good accuracy (380 cases out of 386).

AB - In this work, a low power triaxial accelerometer data acquisition prototype is presented, which is used to derive physical activity recognition algorithms to be used for implantable or wearable applications. There different characterization methods were implemented and can predict the different activities with good accuracy (380 cases out of 386).

KW - Low power

KW - accelerometer

KW - activity recognition

UR - http://www.scopus.com/inward/record.url?scp=85084038063&partnerID=8YFLogxK

U2 - 10.1109/PRIME-LA47693.2020.9062703

DO - 10.1109/PRIME-LA47693.2020.9062703

M3 - Contribución a la conferencia

AN - SCOPUS:85084038063

T3 - PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings

BT - PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, PRIME-LA 2020

Y2 - 25 February 2020 through 28 February 2020

ER -

Chiossi M, Miguez M. Low-power activity recognition from triaxial accelerometer data. In PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9062703. (PRIME-LA 2020 - 3rd IEEE Conference on Ph.D. Research in Microelectronics and Electronics in Latin America, Proceedings). doi: 10.1109/PRIME-LA47693.2020.9062703

Low-power activity recognition from triaxial accelerometer data

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