Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1166253.1166270acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
Article

Camera phone based motion sensing: interaction techniques, applications and performance study

Published: 15 October 2006 Publication History

Abstract

This paper presents TinyMotion, a pure software approach for detecting a mobile phone user's hand movement in real time by analyzing image sequences captured by the built-in camera. We present the design and implementation of TinyMotion and several interactive applications based on TinyMotion. Through both an informal evaluation and a formal 17-participant user study, we found that 1. TinyMotion can detect camera movement reliably under most background and illumination conditions. 2. Target acquisition tasks based on TinyMotion follow Fitts' law and Fitts law parameters can be used for TinyMotion based pointing performance measurement. 3. The users can use Vision TiltText, a TinyMotion enabled input method, to enter sentences faster than MultiTap with a few minutes of practicing. 4. Using camera phone as a handwriting capture device and performing large vocabulary, multilingual real time handwriting recognition on the cell phone are feasible. 5. TinyMotion based gaming is enjoyable and immediately available for the current generation camera phones. We also report user experiences and problems with TinyMotion based interaction as resources for future design and development of mobile interfaces.

Supplementary Material

JPG File (1166270.jpg)
index.html (index.html)
Slides from the presentation
ZIP File (p101-slides.zip)
Supplemental material for Camera phone based motion sensing: interaction techniques, applications and performance study
Audio only (1166270.mp3)
Video (1166270.mp4)

References

[1]
Ballagas, R., Rohs, M. et al, Sweep and Point & Shoot: Phonecam-Based Interactions for Large Public Displays. In Ext. Abstracts of CHI '05, April 2005
[2]
Drab, S., Artner, N., Motion Detection as Interaction Technique for Games & Applications on Mobile Devices, In Ext. Abstracts of PERVASIVE '05: (PERMID), Munich, Germany.
[3]
EyeMobile, http://www.eyemobile.com
[4]
Fitts, P. M. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47, 381--391, 1954.
[5]
Fitzmaurice, G. W., Zhai, S., Chignell, M., Virtual Reality for Palmtop Computers. In ACM TOIS, pp. 197--218. July 1993.
[6]
Forsyth, D., and Ponce, J. Computer Vision: A Modern Approach. Prentice Hall, Upper Saddle River, NJ, 2003.
[7]
Freeman, W. T., et. al., Computer Vision for Interactive Computer Graphics. In IEEE Computer Graphics and Applications, May-June, pp. 42--53, 1998
[8]
Furht, B., Greenberg, J., Westwater, R., Motion Estimation Algorithm for Video Compression, Kluwer Academic Publishers, Boston/Dordrecht/London, 1997
[9]
Hannuksela, J., Sangi, P., and Heikkila J., A Vision-Based Approach for Controlling User Interfaces of Mobile Devices, In Proc. of IEEE Workshop on Vision for Human-Computer Interaction (V4HCI), 2005
[10]
Hansen, T., et al., Mixed Interaction Space - Designing for Camera Based Interaction with Mobile Devices, In Ext. Abstracts of CHI '05, April 2005
[11]
Harrison, B. L., Fishkin, K., A. et al, Squeeze me, hold me, tilt me! An exploration of manipulative user interfaces. In Proc. of CHI'98, pp. 17--24, April 1998.
[12]
Hinckley, K., Pierce, J., Sinclair, M., Horvitz, E., Sensing Techniques for Mobile Interaction. In Proc. of UIST 2000, pp. 91--100.
[13]
Horn, B., and Schunck, B. Determining optical flow. AI Memo 572. Massachusetts Institue of Technology, 1980.
[14]
Kuhn, P., Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation, Kluwer Academic Publishers.
[15]
Kurtenbach, G., and Buxton, W. User learning and performance with marking menus. In Proc. of CHI'94, pp. 258--264, April 1994
[16]
Moehring, M., Lessig C., and Bimber O. Optical tracking and video see-through AR on consumer cell phones. In Proc. of Workshop on Virtual and Augmented Reality of the GI-Fachgruppe AR/VR, pp. 193--204. 2004
[17]
Moeslund, T. B., and Granum, E. A survey of computer vision-based human motion capture. Computer Vision and Image Understanding 18, pp. 231--268, 2001.
[18]
Rekimoto, J., Tilting Operations for Small Screen Interfaces. In Proceedings of. UIST 1996, pp. 167--168.
[19]
Rekimoto, J., Ayatsuka, Y., CyberCode: designing augmented reality environments with visual tags, In Proc. of DARE 2000, pp. 1--10.
[20]
Rohs, M., Zweifel, P., A Conceptual Framework for Camera Phone-based Interaction Techniques, In Proc. of PERVASIVE 2005, Munich, Germany, May 2005
[21]
The Development of Camera Phone Module Industry, 2005-2006, http://www.okokok.com.cn/Abroad/Abroad_show.asp?ArticleID=1034
[22]
Wang, L., Hu, W., and Tan, T., Recent developments in human motion analysis, Pattern. Recognition, 36 pp. 585--601, 2003
[23]
Want, R. TiltType: Accelerometer-Supported Text Entry for Very Small Devices, In Proc. of UIST 2002.
[24]
Wigdor, D., Balakrishnan, R., TiltText: Using tilt for text input to mobile phones. In Proc. of UIST 2003.
[25]
Yee, K. P., Peephole Displays: Pen Interaction on Spatially Aware Handheld Computers. In Proc. of CHI 2003, pp. 1--8, 2003.

Cited By

View all
  • (2024)Pick, Click, Flick!undefinedOnline publication date: 14-Mar-2024
  • (2023)Utilizing Circumcoronene and BN Circumcoronene for the delivery and adsorption of the anticancer drug floxuridineComputational and Theoretical Chemistry10.1016/j.comptc.2023.1140751222(114075)Online publication date: Apr-2023
  • (2022)Understanding and Creating Spatial Interactions with Distant Displays Enabled by Unmodified Off-The-Shelf SmartphonesMultimodal Technologies and Interaction10.3390/mti61000946:10(94)Online publication date: 19-Oct-2022
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
UIST '06: Proceedings of the 19th annual ACM symposium on User interface software and technology
October 2006
354 pages
ISBN:1595933131
DOI:10.1145/1166253
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 ACM 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Fitts' law
  2. camera phones
  3. computer vision
  4. gesture recognition
  5. handwriting recognition
  6. human performance
  7. input techniques and devices
  8. mobile devices
  9. mobile phones
  10. motion estimation

Qualifiers

  • Article

Conference

UIST06

Acceptance Rates

Overall Acceptance Rate 561 of 2,567 submissions, 22%

Upcoming Conference

UIST '25
The 38th Annual ACM Symposium on User Interface Software and Technology
September 28 - October 1, 2025
Busan , Republic of Korea

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)34
  • Downloads (Last 6 weeks)7
Reflects downloads up to 05 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Pick, Click, Flick!undefinedOnline publication date: 14-Mar-2024
  • (2023)Utilizing Circumcoronene and BN Circumcoronene for the delivery and adsorption of the anticancer drug floxuridineComputational and Theoretical Chemistry10.1016/j.comptc.2023.1140751222(114075)Online publication date: Apr-2023
  • (2022)Understanding and Creating Spatial Interactions with Distant Displays Enabled by Unmodified Off-The-Shelf SmartphonesMultimodal Technologies and Interaction10.3390/mti61000946:10(94)Online publication date: 19-Oct-2022
  • (2021)A Comparison Study on Camera-Based Pointing Techniques for Handheld DisplaysIEICE Transactions on Electronics10.1587/transele.2020DIP0003E104.C:2(73-80)Online publication date: 1-Feb-2021
  • (2020)OddEyeCamProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415889(85-97)Online publication date: 20-Oct-2020
  • (2020)Fingertip-Specific Mobile Interaction Through Camera-Based Fingertip IdentificationJournal of Physics: Conference Series10.1088/1742-6596/1673/1/0120461673(012046)Online publication date: 24-Nov-2020
  • (2019)Tilt Space: A Systematic Exploration of Mobile Tilt for Design PurposeHuman-Computer Interaction – INTERACT 201910.1007/978-3-030-29387-1_29(497-517)Online publication date: 2-Sep-2019
  • (2019)Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile DevicesIntelligent Computing Methodologies10.1007/978-3-030-26766-7_18(189-200)Online publication date: 24-Jul-2019
  • (2018)Pocket6Proceedings of the 2018 ACM Symposium on Spatial User Interaction10.1145/3267782.3267785(2-10)Online publication date: 13-Oct-2018
  • (2018)CaMapProceedings of the 2nd International Conference on Computer Science and Application Engineering10.1145/3207677.3278067(1-5)Online publication date: 22-Oct-2018
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media