DoubleFlip: a motion gesture delimiter for mobile interactionJaime Ruiz and Yang Li
To make motion gestures more widely adopted on mobile devices it is important that devices be able to distinguish between motion intended for mobile interaction and every-day motion. In this paper, we present DoubleFlip, a unique motion gesture designed as an input delimiter for mobile motion-based interaction. The DoubleFlip gesture is distinct from regular motion of a mobile device. Based on a collection of 2,100 hours of motion data captured from 99 users, we found that our DoubleFlip recognizer is extremely resistant to false positive conditions, while still achieving a high recognition rate. Since DoubleFlip is easy to perform and unlikely to be accidentally invoked, it provides an always-active input event for mobile interaction.
Citation
Jaime Ruiz and Yang Li. 2011. DoubleFlip: a motion gesture delimiter for mobile interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’11). Association for Computing Machinery, New York, NY, USA, 2717–2720. https://doi.org/10.1145/1978942.1979341
Bibtex
@inproceedings{10.1145/1978942.1979341,
author = {Ruiz, Jaime and Li, Yang},
title = {DoubleFlip: A Motion Gesture Delimiter for Mobile Interaction},
year = {2011},
isbn = {9781450302289},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/1978942.1979341},
doi = {10.1145/1978942.1979341},
abstract = {To make motion gestures more widely adopted on mobile devices it is important that devices be able to distinguish between motion intended for mobile interaction and every-day motion. In this paper, we present DoubleFlip, a unique motion gesture designed as an input delimiter for mobile motion-based interaction. The DoubleFlip gesture is distinct from regular motion of a mobile device. Based on a collection of 2,100 hours of motion data captured from 99 users, we found that our DoubleFlip recognizer is extremely resistant to false positive conditions, while still achieving a high recognition rate. Since DoubleFlip is easy to perform and unlikely to be accidentally invoked, it provides an always-active input event for mobile interaction.},
booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
pages = {2717–2720},
numpages = {4},
keywords = {motion gestures, sensors, mobile interaction},
location = {Vancouver, BC, Canada},
series = {CHI '11}
}