umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Tracking fingers in 3D space for mobile interaction
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab (DML))
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab (DML))
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Number of mobile devices such as mobile phones or PDAs has been dramatically increased over the recent years. New mobile devices are equipped with integrated cameras and large displays which make the interaction with device easier and more efficient. Although most of the previous works on interaction between humans and mobile devices are based on 2D touch-screen displays, camera-based interaction opens a new way to manipulate in 3D space behind the device in the camera's field of view.In this paper, our gestural interaction relies heavily on particular patterns from local orientation of the image called Rotational Symmetries. This approach is based on finding the most suitable pattern from the large set of rotational symmetries of different orders which ensures a reliable detector for fingertips and human gesture. Consequently, gesture detection and tracking can be used as an efficient tool for 3D manipulation in various applications in computer vision and augmented reality.

Place, publisher, year, edition, pages
2010.
Keyword [en]
Mobile interaction, Rotational Symmetries, Gesture detection, Tracking
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-53536OAI: oai:DiVA.org:umu-53536DiVA: diva2:513180
Conference
20th Conference on Pattern Recognition (ICPR)
Available from: 2012-03-30 Created: 2012-03-30 Last updated: 2013-08-08Bibliographically approved
In thesis
1. Human Motion Analysis for Creating Immersive Experiences
Open this publication in new window or tab >>Human Motion Analysis for Creating Immersive Experiences
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

From an early age, people display the ability to quickly and effortlessly interpret the orientation and movement of human body parts, thereby allowing one to infer the intentions of others who are nearby and to comprehend an important nonverbal form of communication. The ease with which one accomplishes this task belies the difficulty of a problem that has challenged computational systems for decades, human motion analysis.

Technological developments over years have resulted into many systems for measuring body segment positions and angles between segments. In these systems human body is typically considered as a system of rigid links connected by joints. The motion is estimated by the use of measurements from mechanical, optical, magnetic, or inertial trackers. Among all kinds of sensors, optical sensing encompasses a large and varying collection of technologies.

In a computer vision context, human motion analysis is a topic that studies methods and applications in which two or more consecutive images from an image sequences, e.g. captured by a video camera, are processed to produce information based on the apparent human body motion in the images.

Many different disciplines employ motion analysis systems to capture movement and posture of human body for applications such as medical diagnostics, virtual reality, human-computer interaction etc.

This thesis gives an insight into the state of the art human motion analysissystems, and provides new methods for capturing human motion.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2012. 71 p.
Series
Digital Media Lab, ISSN 1652-6295 ; 15
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:umu:diva-55832 (URN)978-91-7459-416-4 (ISBN)
Presentation
2012-04-13, room A305, Department of Applied Physics and Electronics, Umeå University, Umeå, 10:00 (English)
Supervisors
Available from: 2012-06-04 Created: 2012-06-04 Last updated: 2012-06-04Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Yousefi, ShahrouzAbedan Kondori, FaridLi, Haibo
By organisation
Department of Applied Physics and Electronics
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 114 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf