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WatchMI: pressure touch, twist and pan gesture input on unmodified smartwatches

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Quigley_2016_ACM_watchmi_AAM.pdf (12.89Mb)
Date
07/09/2016
Author
Yeo, Hui Shyong
Lee, Juyoung
Bianchi, Andrea
Quigley, Aaron John
Keywords
Rich touch
Smart watch
Small screen
Wearable devices
QA76 Computer software
NDAS
BDC
R2C
Metadata
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Abstract
The screen size of a smartwatch provides limited space to enable expressive multi-touch input, resulting in a markedly difficult and limited experience. We present WatchMI: Watch Movement Input that enhances touch interaction on a smartwatch to support continuous pressure touch, twist, pan gestures and their combinations. Our novel approach relies on software that analyzes, in real-time, the data from a built-in Inertial Measurement Unit (IMU) in order to determine with great accuracy and different levels of granularity the actions performed by the user, without requiring additional hardware or modification of the watch. We report the results of an evaluation with the system, and demonstrate that the three proposed input interfaces are accurate, noise-resistant, easy to use and can be deployed on a variety of smartwatches. We then showcase the potential of this work with seven different applications including, map navigation, an alarm clock, a music player, pan gesture recognition, text entry, file explorer and controlling remote devices or a game character.
Citation
Yeo , H S , Lee , J , Bianchi , A & Quigley , A J 2016 , WatchMI: pressure touch, twist and pan gesture input on unmodified smartwatches . in Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16) . ACM , pp. 394-399 , 18th International Conference on Human-Computer Interaction with Mobile Devices and Services , Florence , Italy , 6/09/16 . https://doi.org/10.1145/2935334.2935375
 
conference
 
Publication
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16)
DOI
https://doi.org/10.1145/2935334.2935375
Type
Conference item
Rights
Copyright © 2016 ACM. This is the author's version of the work. It is posted here for personal use. Not for redistribution. The definitive Version of Record was published in MobileHCI '16, http://dx.doi.org/10.1145/2935334.2935375
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/9455

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