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3D Accelerometer-based Gestures for Interacting with Mobile Devices

Published: 23 October 2016 Publication History

Abstract

Mobile devices and apps have become an essential part of our daily life activities. Multi-touch gesture interaction directly on the touch screen is one of the most common ways to interact with mobile devices. However, in special circumstances (e.g., disabilities, wet hands, wearing heavy gloves outside in cold weather, etc.) it is difficult to interact directly on the touch screen. In this work, we focus on utilizing the 3D accelerometer sensor, available in most of the current mobile devices, as a way to provide an alternative set of gestures to the standard set of multi-touch gestures. We defined these 3D accelerometer-based gestures' definitions based on a user study and built an opens-source library, called 3DA-Gest, for providing the functionality to be used by mobile application developers. Further, we built a proof of concept map-based mobile app to check the working of our library. The preliminary conducted user study shows that users prefer to use our accelerometer-based gestures in special circumstances.

References

[1]
Akl, A. and Valaee, S. Accelerometer-based Gesture Recognition via Dynamic-Time Warping, Affinity Propagation, & Compressive Sensing. ICASSP 2010, IEEE, pp. 2270--2273, 2010.
[2]
Alizadeh, A. Gesture Recognition based on Hidden Markov Models from Joints' Coordinates of a Depth Camera for Kids age of 3-8. (MSc Thesis) Department of Computer Science, University of Helsinki, May 29, 2014.
[3]
Humayoun, S. R. and Dubinsky, Y. MobiGolog: Formal Task Modelling for Testing User Gestures Interaction in Mobile Applications. MOBILESoft 2014, ACM, pp. 46--49, 2014.
[4]
Joselli, M. and Clua, E. gRmobile: A Framework for Touch and Accelerometer Gesture Recognition for Mobile Games. SBGAMES '09), IEEE Computer Society, pp. 141--150, 2009.
[5]
Liu, J., Wang, Z., Zhong, L., Wickramasuriya, J., and Vasudevan, V. Wwave: Accelerometer-based Personalized Gesture Recognition and its Applications. Pervasive and Mobile Computing, vol. 5, pp. 657--675, December 2009.
[6]
Liu, J., Pan, h. An Accelerometer-Based Gesture Recognition Algorithm and its Application for 3D Interaction. Computer Science and Information Systems, Vol. 7, No. 1, 2010.
[7]
Ruiz, J, Li, Y, and Lank E. User-defined motion gestures for mobile interaction. CHI '11, ACM, pp. 197--206, 2011.
[8]
Wu, J., Pan, G., Zhang, D., Qi, G., and Li, S. Gesture Recognition with a 3-D Accelerometer. Ubiquitous Intelligence and Computing, LNCS 5585, pp. 25--38, 2009.

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  1. 3D Accelerometer-based Gestures for Interacting with Mobile Devices

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      NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction
      October 2016
      1045 pages
      ISBN:9781450347631
      DOI:10.1145/2971485
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 23 October 2016

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      Author Tags

      1. 3D accelerometer
      2. mobile gestures
      3. mobile interaction

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      NordiCHI '16 Paper Acceptance Rate 58 of 231 submissions, 25%;
      Overall Acceptance Rate 379 of 1,572 submissions, 24%

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