umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Real 3D Interaction Behind Mobile Phones for Augmented Environments
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
2011 (Engelska)Ingår i: 2011 IEEE International Conference on Multimedia and Expo (ICME), IEEE conference proceedings, 2011, s. 1-6Konferensbidrag, Publicerat paper (Refereegranskat)
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. This paper suggests the use of particular patterns from local orientation of the image called Rotational Symmetries to detect and localize human gesture. Relative rotation and translation of human gesture between consecutive frames are estimated by means of extracting stable features. Consequently, this information can be used to facilitate the 3D manipulation of virtual objects in various applications in mobile devices.

Ort, förlag, år, upplaga, sidor
IEEE conference proceedings, 2011. s. 1-6
Serie
IEEE International Conference on Multimedia and Expo, ISSN 1945-7871
Nyckelord [en]
Mobile interaction, rotational symmetries, SIFT, 3D manipulation
Nationell ämneskategori
Interaktionsteknik
Identifikatorer
URN: urn:nbn:se:umu:diva-52816DOI: 10.1109/ICME.2011.6012155ISI: 000304354700154ISBN: 978-1-61284-349-0 (tryckt)OAI: oai:DiVA.org:umu-52816DiVA, id: diva2:507239
Konferens
Multimedia and Expo (ICME), 2011 IEEE International Conference on, Barcelona, Spain, July 11-15, 2011
Tillgänglig från: 2012-03-02 Skapad: 2012-03-02 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
Ingår i avhandling
1. Human Motion Analysis for Creating Immersive Experiences
Öppna denna publikation i ny flik eller fönster >>Human Motion Analysis for Creating Immersive Experiences
2012 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå University, 2012. s. 71
Serie
Digital Media Lab, ISSN 1652-6295 ; 15
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
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 (Engelska)
Handledare
Tillgänglig från: 2012-06-04 Skapad: 2012-06-04 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
2. Bring Your Body into Action: Body Gesture Detection, Tracking, and Analysis for Natural Interaction
Öppna denna publikation i ny flik eller fönster >>Bring Your Body into Action: Body Gesture Detection, Tracking, and Analysis for Natural Interaction
2014 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Due to the large influx of computers in our daily lives, human-computer interaction has become crucially important. For a long time, focusing on what users need has been critical for designing interaction methods. However, new perspective tends to extend this attitude to encompass how human desires, interests, and ambitions can be met and supported. This implies that the way we interact with computers should be revisited. Centralizing human values rather than user needs is of the utmost importance for providing new interaction techniques. These values drive our decisions and actions, and are essential to what makes us human. This motivated us to introduce new interaction methods that will support human values, particularly human well-being.

The aim of this thesis is to design new interaction methods that will empower human to have a healthy, intuitive, and pleasurable interaction with tomorrow’s digital world. In order to achieve this aim, this research is concerned with developing theories and techniques for exploring interaction methods beyond keyboard and mouse, utilizing human body. Therefore, this thesis addresses a very fundamental problem, human motion analysis.

Technical contributions of this thesis introduce computer vision-based, marker-less systems to estimate and analyze body motion. The main focus of this research work is on head and hand motion analysis due to the fact that they are the most frequently used body parts for interacting with computers. This thesis gives an insight into the technical challenges and provides new perspectives and robust techniques for solving the problem.

Ort, förlag, år, upplaga, sidor
Umeå: Umeå Universitet, 2014. s. 70
Serie
Digital Media Lab, ISSN 1652-6295 ; 19
Nyckelord
Human Well-Being, Bodily Interaction, Natural Interaction, Human Motion Analysis, Active Motion Estimation, Direct Motion Estimation, Head Pose Estimation, Hand Pose Estimation.
Nationell ämneskategori
Signalbehandling
Forskningsämne
signalbehandling; datoriserad bildanalys
Identifikatorer
urn:nbn:se:umu:diva-88508 (URN)978-91-7601-067-9 (ISBN)
Disputation
2014-06-04, Naturvetarhuset, N420, Umeå universitet, Umeå, 13:00 (Engelska)
Opponent
Handledare
Tillgänglig från: 2014-05-14 Skapad: 2014-05-08 Senast uppdaterad: 2018-06-07Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Abedan Kondori, FaridYousefi, ShahrouzLi, Haibo

Sök vidare i DiVA

Av författaren/redaktören
Abedan Kondori, FaridYousefi, ShahrouzLi, Haibo
Av organisationen
Institutionen för tillämpad fysik och elektronik
Interaktionsteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 1284 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf