DOI

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 languageEnglish
Title of host publicationISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers
EditorsRobert Harle, Katayoun Farrahi, Nicholas Lane
PublisherAssociation for Computing Machinery (ACM)
Pages166-168
Number of pages3
ISBN (Electronic)9781450368704
DOIs
Publication statusPublished - 2019
Event2019 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 Sep 201913 Sep 2019

Conference

Conference2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
CountryUnited Kingdom
CityLondon
Period9/09/1913/09/19

    Research areas

  • Motion sensing, Wearable, Wearing variability

ID: 57714746