TapSkin: Recognizing on-skin input for smartwatches

C Zhang, AK Bedri, G Reyes, B Bercik, OT Inan… - Proceedings of the …, 2016 - dl.acm.org
The touchscreen has been the dominant input surface for smartphones and smartwatches.
However, its small size compared to a phone limits the richness of the input gestures that …

InfiniTouch: Finger-aware interaction on fully touch sensitive smartphones

HV Le, S Mayer, N Henze - Proceedings of the 31st Annual ACM …, 2018 - dl.acm.org
Smartphones are the most successful mobile devices and offer intuitive interaction through
touchscreens. Current devices treat all fingers equally and only sense touch contacts on the …

WatchOut: extending interactions on a smartwatch with inertial sensing

C Zhang, J Yang, C Southern, TE Starner… - Proceedings of the 2016 …, 2016 - dl.acm.org
Current interactions on a smartwatch are generally limited to a tiny touchscreen, physical
buttons or knobs, and speech. We present WatchOut, a suite of interaction techniques that …

BackXPress: Using back-of-device finger pressure to augment touchscreen input on smartphones

C Corsten, B Daehlmann, S Voelker… - Proceedings of the 2017 …, 2017 - dl.acm.org
When people hold their smartphone in landscape orientation, they use their thumbs for input
on the frontal touchscreen, while their remaining fingers rest on the back of the device (BoD) …

A smartphone prototype for touch interaction on the whole device surface

HV Le, S Mayer, P Bader, N Henze - Proceedings of the 19th …, 2017 - dl.acm.org
Previous research proposed a wide range of interaction methods and use cases based on
the previously unused back side and edge of a smartphone. Common approaches to …

BackSwipe: Back-of-device word-gesture interaction on smartphones

W Cui, S Zhu, Z Li, Z Xu, XD Yang… - Proceedings of the …, 2021 - dl.acm.org
Back-of-device interaction is a promising approach to interacting on smartphones. In this
paper, we create a back-of-device command and text input technique called BackSwipe …

Mogeste: A mobile tool for in-situ motion gesture design

A Parnami, A Gupta, G Reyes, R Sadana, Y Li… - Proceedings of the 8th …, 2016 - dl.acm.org
Motion gestures can be expressive, fast to access and perform, and facilitated by ubiquitous
inertial sensors. However, implementing a gesture recognizer requires substantial …

Deep-learning-based unobtrusive handedness prediction for one-handed smartphone interaction

T Chen, K Zhu, MC Yang - Multimedia Tools and Applications, 2023 - Springer
The handedness (ie the side of the holding and operating hand) is an important contextual
information to optimise the one-handed smartphone interaction. In this paper, we present a …

Vidgets: modular mechanical widgets for mobile devices

C Xiao, K Bayer, C Zheng, SK Nayar - ACM Transactions on Graphics …, 2019 - dl.acm.org
We present Vidgets, a family of mechanical widgets, specifically push buttons and rotary
knobs that augment mobile devices with tangible user interfaces. When these widgets are …

Less is more: Efficient back-of-device tap input detection using built-in smartphone sensors

E Granell, LA Leiva - Proceedings of the 2016 ACM International …, 2016 - dl.acm.org
Back-of-device (BoD) interaction using current smartphone sensors (eg accelerometer,
microphone, or gyroscope) has recently emerged as a promising novel input modality …