Article

Visualization of hand gestures for pervasive computing environments

Authors:

Sanna Kallio,

Juha Kela,

Jani Mäntyjärvi,

Johan PlompAuthors Info & Claims

AVI '06: Proceedings of the working conference on Advanced visual interfaces

Pages 480 - 483

https://doi.org/10.1145/1133265.1133363

Published: 23 May 2006 Publication History

Get Access

Abstract

Visualization method is proposed as an additional feature for accelerometer-based gesture control. The motivation for visualization of gesture control is justified and the challenges related to visualization are presented. The gesture control is based on Hidden Markov Models. This paper describes basic concepts of the gesture visualization and studies how well the developed visualization method can animate hand movement performed during the gesture control. The results indicate that visualization clearly provides information about the performed gesture, and it could be utilized in providing essential feedback and guidance to the user in future gesture control applications.

References

[1]

Haukijärvi M., Yrjänäinen J. Accelerometer vibration analysis for finding out velocities of pen input device, In Proc. of the 10th European Signal Processing Conference, 2000, pp. 221--224.

Google Scholar

[2]

Kela J., Korpipää P., Mäntyjärvi J., Kallio S., Savino G., Jozzo L., Di Marca S. Accelerometer-based gesture control for a design environment. Personal and Ubiquitous Computing, Springer-Verlag, 2005. Vol 10.

Digital Library

Google Scholar

[3]

Mäntyjärvi J., Kallio S., Korpipää P., Kela J., Plomp J. Gesture interaction for small handheld devices to support multimedia applications. Journal of Mobile Multimedia, Rinton Press, Vol. 1, No. 2, pp. 92--112, 2005.

Digital Library

Google Scholar

[4]

Levinson S. E., Rabiner L. R., Sondhi M. M. An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition. The Bell System Technical Journal, Vol. 62, No. 4, April 1988.

Crossref

Google Scholar

[5]

Mäntyjärvi J., Kela J., Korpipää P., Kallio S. Enabling fast and effortless customisation in accelerometer based gesture interaction. In International Conference on Mobile and Ubiquitous Multimedia (MUM). Maryland, USA, 2004, pp. 25--31.

Digital Library

Google Scholar

Cited By

View all

Batch AButcher PRitsos PElmqvist N(2024)Wizualization: A “Hard Magic” Visualization System for Immersive and Ubiquitous AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332658030:1(507-517)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326580
Anwary AYu HVassallo M(2019)Gait Quantification and Visualization for Digital HealthcareHealth Policy and Technology10.1016/j.hlpt.2019.12.004Online publication date: Dec-2019
https://doi.org/10.1016/j.hlpt.2019.12.004
Chen W(2013)Gesture-based applications for elderly peopleProceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV10.1007/978-3-642-39330-3_20(186-195)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39330-3_20
Show More Cited By

Index Terms

Visualization of hand gestures for pervasive computing environments
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

Recommendations

Enabling fast and effortless customisation in accelerometer based gesture interaction
MUM '04: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia

Accelerometer based gesture control is proposed as a complementary interaction modality for handheld devices. Predetermined gesture commands or freely trainable by the user can be used for controlling functions also in other devices. To support ...
Gesture interaction for small handheld devices to support multimedia applications

Accelerometer-based gesture control is proposed as a complementary interaction modality for small handheld devices to enable a variety of multimedia applications. The motivation for experimenting with gesture interaction is justified by the personal and ...
Characterizing human grasping movements by means of an acceleration sensor
ACC'11/MMACTEE'11: Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing

A majority of systems that take advantage of human motion in order to recognize gestures are developed through temporal image processing algorithms. However, thanks to the increasing development of acceleration sensors in recent years, it has become ...

Comments

Information & Contributors

Information

Published In

AVI '06: Proceedings of the working conference on Advanced visual interfaces

May 2006

512 pages

ISBN:1595933530

DOI:10.1145/1133265

General Chair:
Augusto Celentano
Università Ca' Foscari di Venezia, Mestre(VE), Italy

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

AVI06

AVI06: The International Conference on Advanced Visual Interfaces

May 23 - 26, 2006

Venezia, Italy

Acceptance Rates

Overall Acceptance Rate 128 of 490 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
960
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Batch AButcher PRitsos PElmqvist N(2024)Wizualization: A “Hard Magic” Visualization System for Immersive and Ubiquitous AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332658030:1(507-517)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326580
Anwary AYu HVassallo M(2019)Gait Quantification and Visualization for Digital HealthcareHealth Policy and Technology10.1016/j.hlpt.2019.12.004Online publication date: Dec-2019
https://doi.org/10.1016/j.hlpt.2019.12.004
Chen W(2013)Gesture-based applications for elderly peopleProceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV10.1007/978-3-642-39330-3_20(186-195)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39330-3_20
Armitage JNg K(2013)mConduct: A Multi-sensor Interface for the Capture and Analysis of Conducting GestureElectronic Visualisation in Arts and Culture10.1007/978-1-4471-5406-8_11(153-165)Online publication date: 26-Jul-2013
https://doi.org/10.1007/978-1-4471-5406-8_11
Bhuiyan MPicking R(2011)A Gesture Controlled User Interface for Inclusive Design and Evaluative Study of Its UsabilityJournal of Software Engineering and Applications10.4236/jsea.2011.4905904:09(513-521)Online publication date: 2011
https://doi.org/10.4236/jsea.2011.49059
Kratz SRohs MRich CYang QCavazza MZhou M(2010)The $3 recognizerProceedings of the 15th international conference on Intelligent user interfaces10.1145/1719970.1720051(419-420)Online publication date: 7-Feb-2010
https://dl.acm.org/doi/10.1145/1719970.1720051
Kratz SRohs MRich CYang QCavazza MZhou M(2010)A $3 gesture recognizerProceedings of the 15th international conference on Intelligent user interfaces10.1145/1719970.1720026(341-344)Online publication date: 7-Feb-2010
https://dl.acm.org/doi/10.1145/1719970.1720026
Kratz SBallagas ROlsen DArthur RHinckley KMorris MHudson SGreenberg S(2009)Unravelling seamsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1518701.1518844(937-940)Online publication date: 4-Apr-2009
https://dl.acm.org/doi/10.1145/1518701.1518844
Witt HLawo MDrugge Mter Hofte HMulder I(2008)Visual feedback and different frames of referenceProceedings of the 10th international conference on Human computer interaction with mobile devices and services10.1145/1409240.1409272(293-300)Online publication date: 2-Sep-2008
https://dl.acm.org/doi/10.1145/1409240.1409272

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Enabling fast and effortless customisation in accelerometer based gesture interaction

Gesture interaction for small handheld devices to support multimedia applications

Characterizing human grasping movements by means of an acceleration sensor

Comments

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Enabling fast and effortless customisation in accelerometer based gesture interaction

Gesture interaction for small handheld devices to support multimedia applications

Characterizing human grasping movements by means of an acceleration sensor

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations