An early characterisation of wearing variability on motion signals for wearables

Chulhong Min; Akhil Mathur; Alessandro Montanari; Fahim Kawsar

doi:10.1145/3341163.3347716

An early characterisation of wearing variability on motion signals for wearables

Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar

Internet of Things

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

Abstract

We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.

Original language	English
Title of host publication	ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers
Editors	Robert Harle, Katayoun Farrahi, Nicholas Lane
Publisher	Association for Computing Machinery (ACM)
Pages	166-168
Number of pages	3
ISBN (Electronic)	978-145036870-4
DOIs	https://doi.org/10.1145/3341163.3347716
Publication status	Published - 2019
Event	2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 - London, United Kingdom Duration: 9 Sept 2019 → 13 Sept 2019

Conference

Conference	2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
Country/Territory	United Kingdom
City	London
Period	9/09/19 → 13/09/19

Keywords

Motion sensing
Wearable
Wearing variability

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10.1145/3341163.3347716

Cite this

@inproceedings{cd5d2da0f56c454e805effccb9935fb6,

title = "An early characterisation of wearing variability on motion signals for wearables",

abstract = "We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.",

keywords = "Motion sensing, Wearable, Wearing variability",

author = "Chulhong Min and Akhil Mathur and Alessandro Montanari and Fahim Kawsar",

year = "2019",

doi = "10.1145/3341163.3347716",

language = "English",

pages = "166--168",

editor = "Harle, {Robert } and Farrahi, {Katayoun } and Nicholas Lane",

booktitle = "ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 ; Conference date: 09-09-2019 Through 13-09-2019",

}

Min, C, Mathur, A, Montanari, A & Kawsar, F 2019, An early characterisation of wearing variability on motion signals for wearables. in R Harle, K Farrahi & N Lane (eds), ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers. Association for Computing Machinery (ACM), pp. 166-168, 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019, London, United Kingdom, 9/09/19. https://doi.org/10.1145/3341163.3347716

An early characterisation of wearing variability on motion signals for wearables. / Min, Chulhong; Mathur, Akhil; Montanari, Alessandro et al.
ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers. ed. / Robert Harle; Katayoun Farrahi; Nicholas Lane. Association for Computing Machinery (ACM), 2019. p. 166-168.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - An early characterisation of wearing variability on motion signals for wearables

AU - Min, Chulhong

AU - Mathur, Akhil

AU - Montanari, Alessandro

AU - Kawsar, Fahim

PY - 2019

Y1 - 2019

N2 - We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.

AB - We explore a new variability observed in motion signals acquired from modern wearables. Wearing variability refers to the variations of the device orientation and placement across wearing events. We collect the accelerometer data on a smartwatch and an earbud and analyse how motion signals change due to the wearing variability. Our analysis shows that the wearing variability can bring an unexpected change to motion signals, not only from different users but also from different wearing sessions of the same user. We also provide empirical ranges of changes in device orientations.

KW - Motion sensing

KW - Wearable

KW - Wearing variability

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U2 - 10.1145/3341163.3347716

DO - 10.1145/3341163.3347716

M3 - Conference contribution

AN - SCOPUS:85072792432

SP - 166

EP - 168

BT - ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers

A2 - Harle, Robert

A2 - Farrahi, Katayoun

A2 - Lane, Nicholas

PB - Association for Computing Machinery (ACM)

T2 - 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019

Y2 - 9 September 2019 through 13 September 2019

ER -

An early characterisation of wearing variability on motion signals for wearables

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Keywords

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