WaveTrace: motion matching input using Wrist-Worn Motion sensors

D. Verweij, A.E. Esteves, J.V. Khan, S. Bakker

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

8 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

We present WaveTrace, a novel interaction technique based on selection by motion matching. In motion matching systems, targets move continuously in a singular and pre-defined path -- users interact with these by performing a synchronous bodily movement that matches the movement of one of the targets. Unlike previous work which tracks user input through optical systems, WaveTrace is arguably the first motion matching technique to rely on motion data from inertial measurement units readily available in many wrist-worn wearable devices such as smart watches. To evaluate the technique, we conducted a user study in which we varied: hand; degrees of visual angle; target speed; and number of concurrent targets. Preliminary results indicate that the technique supports up to eight concurrent targets; and that participants could select targets moving at speeds between 180 and 270/s (mean acquisition time of 2237ms, and average success rate of 91%).
Originele taal-2Engels
TitelCHI EA 17 : Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Pagina's2180-2186
ISBN van geprinte versie978-1-4503-4656-6
DOI's
StatusGepubliceerd - 2017
Evenement35th Annual ACM CHI Conference on Human Factors in Computing Systems (CHI 2017) - Colorado Convention Center, Denver, Verenigde Staten van Amerika
Duur: 6 mei 201711 mei 2017
Congresnummer: 35
https://chi2017.acm.org/
http://www.scopus.com/inward/record.url?scp=85019570374&partnerID=8YFLogxK

Congres

Congres35th Annual ACM CHI Conference on Human Factors in Computing Systems (CHI 2017)
Verkorte titelACM CHI 2017
LandVerenigde Staten van Amerika
StadDenver
Periode6/05/1711/05/17
Internet adres

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Citeer dit

Verweij, D., Esteves, A. E., Khan, J. V., & Bakker, S. (2017). WaveTrace: motion matching input using Wrist-Worn Motion sensors. In CHI EA 17 : Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (blz. 2180-2186). New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3027063.3053161