ABSTRACT
Tablet computers are often called upon to emulate classical pen-and-paper input. However, touchscreens typically lack the means to distinguish between legitimate stylus and finger touches and touches with the palm or other parts of the hand. This forces users to rest their palms elsewhere or hover above the screen, resulting in ergonomic and usability problems. We present a probabilistic touch filtering approach that uses the temporal evolution of touch contacts to reject palms. Our system improves upon previous approaches, reducing accidental palm inputs to 0.016 per pen stroke, while correctly passing 98% of stylus inputs.
Supplemental Material
- Boring, S., Ledo, D., Chen, X., Marquadt, N., Tang, A. and Greenberg, S. The fat thumb: using the thumb's contact size for single-handed mobile interaction. In Proc. MobileHCI '12, 39--48. Google ScholarDigital Library
- Bamboo Paper. Wacom. http://bamboopaper.wacom.com.Google Scholar
- Camilleri, M., Malige, A., Fujimoto, J., Rempei, D. (2013). Touch Displays: the effects of palm rejection technology on productivity, comfort, biomechanics, and positioning. In Ergonomics. Taylor & Francis Group.Google Scholar
- ClearPadTM Series 3. http://synaptics.com/solutions/products/clearpadGoogle Scholar
- EMR® Technology. Wacom. http://www.wacomcomponents.com/english/technology/emr.html.Google Scholar
- Ewerling, P., Kulik, A, Froehlich, B. Finger and hand detection for multi-touch interfaces based on maximally stable extremal regions. In Proc. ITS '12, 173--182. Google ScholarDigital Library
- Gu, J., Heo, S., Han, J., Kim, S. and Lee, G. LongPad: a touchpad using the entire area below the keyboard of a laptop computer. In Proc. CHI '13, 1421--1430. Google ScholarDigital Library
- Hall, M. A. Correlation-based Feature Subset Selection for Machine Learning. Ph.D. Thesis, 1998. Hamilton, New Zealand.Google Scholar
- Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I. H. The WEKA data mining software: an update. SIGKDD Explorations, 11(1), 10--18. Google ScholarDigital Library
- Hinckley, K. and Sinclair, M. Touch-Sensing Input Devices. In Proc. CHI '99, 223--230. Google ScholarDigital Library
- Hinckley, K., Wigdor, D., (2012). Input Technologies and Techniques (Chapter 9). In The Human-Computer Interaction Handbook, 3rd Edition, published by Taylor & Francis.Google ScholarCross Ref
- Hinckley, K., Yatani, K., Pahud, M., Coddington, N., Rodenhouse, J., Wilson, A., Benko, H., and Buxton, B. Pen + touch = new tools. In Proc. UIST '10, 27--36. Google ScholarDigital Library
- iPen 2. Cregle Inc. http://www.cregle.com/pages/pressure-sensitive-stylus-for-your-imac-and-ipad.Google Scholar
- Jot Touch. Adonit. http://adonit.net/jot/touchGoogle Scholar
- Liang, R., Cheng, K., Su, C., Weng, C., Chen, B. and Yang, D. GaussSense: attachable stylus sensing using magnetic sensor grid. In Proc. UIST '12, 319--326. Google ScholarDigital Library
- MyNote Pen. http://mynote.eu/mynotepen-en.html.Google Scholar
- Notability Ginger Labs. http://www.gingerlabs.com.Google Scholar
- Penultimate. Evernote. http://evernote.com/penultimate.Google Scholar
- Quinlan, J. R. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993. Google ScholarDigital Library
- Rogers, S., Williamson, J., Stewart, C. and Murray-Smith, R. AnglePose: robust, precise capacitive touch tracking via 3D orientation estimation. In Proc. CHI '12, 2575--2584. Google ScholarDigital Library
- Schwarz J., Hudson S., Mankoff, J. and Wilson, A.D. A framework for robust and flexible handling of inputs with uncertainty. In Proc. UIST '10, 47--56. Google ScholarDigital Library
- Steimle, J. (2012). Survey of Pen-and-Paper Computing. In Pen-and-Paper User Interfaces (pp. 19--65). Springer Berlin Heidelberg.Google ScholarCross Ref
- Vogel, D., Cudmore, M., Casiez, G., Balakrishnan, R. and Keliher, L. Hand occlusion with tablet-sized direct pen input. In Proc. CHI '09, 557--566. Google ScholarDigital Library
- Wang, F. and Ren, F. Empirical evaluation for finger input properties in multi-touch interaction. In Proc. CHI '10, 1063--1072. Google ScholarDigital Library
- Wang, F., Cao, X., Ren, X. and Irani, P. Detecting and leveraging finger orientation for interaction with directtouch surfaces. In Proc. UIST '09, 23--32. Google ScholarDigital Library
Index Terms
- Probabilistic palm rejection using spatiotemporal touch features and iterative classification
Recommendations
Exploring and Understanding Unintended Touch during Direct Pen Interaction
The user experience on tablets that support both touch and styli is less than ideal, due in large part to the problem of unintended touch or palm rejection. Devices are often unable to distinguish between intended touch (i.e., interaction on the screen ...
A study on touch & hover based interaction for zooming
CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing SystemsProximity is a useful medium for interaction with high interactive digital contents. It can be used in different contexts such as for navigation through depth in 3D space in zoomable interfaces. In this paper, we propose hover-based zoom interaction as ...
Enhancing physicality in touch interaction with programmable friction
CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsTouch interactions have refreshed some of the 'glowing enthusiasm' of thirty years ago for direct manipulation interfaces. However, today's touch technologies, whose interactions are supported by graphics, sounds or crude clicks, have a tactile sameness ...
Comments