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.

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

@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}
}