Lucid Virtual/Augmented Reality (LVAR) Integrated with an Endoskeletal Robot Suit: StillSuit: A new framework for cognitive and physical interventions to support the ageing society

A New Framework for Tracking by Maintaining Multiple Global Hypotheses for Augmented Reality

17th International Conference on Artificial Reality and Telexistence (ICAT 2007) ◽

10.1109/icat.2007.45 ◽

2007 ◽

Cited By ~ 1

Author(s):

Kenichi Hayashi ◽

Hirokazu Kato ◽

Shogo Nishida

Keyword(s):

Augmented Reality ◽

New Framework

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FRAMEWORK OF CONTROLLING 3D VIRTUAL HUMAN EMOTIONAL WALKING USING BCI

Jurnal Teknologi ◽

10.11113/jt.v75.5062 ◽

2015 ◽

Vol 75 (4) ◽

Cited By ~ 2

Author(s):

Faris Amin M. Abuhashish ◽

Hoshang Kolivand ◽

Mohd Shahrizal Sunar ◽

Dzulkifli Mohamad

Keyword(s):

Signal Processing ◽

Augmented Reality ◽

Brain Computer Interface ◽

Computer Interface ◽

Virtual Human ◽

Eeg Signals ◽

Brain Signals ◽

Electroencephalogram Eeg ◽

The Brain ◽

New Framework

A Brain-Computer Interface (BCI) is the device that can read and acquire the brain activities. A human body is controlled by Brain-Signals, which considered as a main controller. Furthermore, the human emotions and thoughts will be translated by brain through brain signals and expressed as human mood. This controlling process mainly performed through brain signals, the brain signals is a key component in electroencephalogram (EEG). Based on signal processing the features representing human mood (behavior) could be extracted with emotion as a major feature. This paper proposes a new framework in order to recognize the human inner emotions that have been conducted on the basis of EEG signals using a BCI device controller. This framework go through five steps starting by classifying the brain signal after reading it in order to obtain the emotion, then map the emotion, synchronize the animation of the 3D virtual human, test and evaluate the work. Based on our best knowledge there is no framework for controlling the 3D virtual human. As a result for implementing our framework will enhance the game field of enhancing and controlling the 3D virtual humans’ emotion walking in order to enhance and bring more realistic as well. Commercial games and Augmented Reality systems are possible beneficiaries of this technique.

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Guitarist Fingertip Tracking by Integrating a Bayesian Classifier into Particle Filters

Advances in Human-Computer Interaction ◽

10.1155/2008/384749 ◽

2008 ◽

Vol 2008 ◽

pp. 1-10 ◽

Cited By ~ 5

Author(s):

Chutisant Kerdvibulvech ◽

Hideo Saito

Keyword(s):

Augmented Reality ◽

Human Computer Interaction ◽

Particle Filters ◽

Bayesian Classifier ◽

Dynamic Background ◽

Musical Piece ◽

Virtual Spaces ◽

Illumination Changes ◽

Online Process ◽

New Framework

We propose a vision-based method for tracking guitar fingerings made by guitar players. We present it as a new framework for tracking colored finger markers by integrating a Bayesian classifier into particle filters. This adds the useful abilities of automatic track initialization and recovery from tracking failures in a dynamic background. Furthermore, by using the online adaptation of color probabilities, this method is able to cope with illumination changes. Augmented Reality Tag (ARTag) is then utilized to calculate the projection matrix as an online process which allows the guitar to be moved while being played. Representative experimental results are also included. The method presented can be used to develop the application of human-computer interaction (HCI) to guitar playing by recognizing the chord being played by a guitarist in virtual spaces. The aforementioned application would assist guitar learners by allowing them to automatically identify if they are using the correct chords required by the musical piece.

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Applying Fuzzy Delphi Method (FDM) to obtaining the Expert Consensus in Aesthetic Experience (AX) and User Experience (UX) Elements in Augmented Reality Comic (AR Comic)

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i3.787 ◽

2021 ◽

Vol 12 (3) ◽

pp. 802-807

Author(s):

Mohd Ekram AlHafis bin Hashim Et.al

Keyword(s):

Augmented Reality ◽

Human Computer Interaction ◽

User Experience ◽

Delphi Method ◽

Aesthetic Experience ◽

Expert Consensus ◽

Fuzzy Delphi Method ◽

Art Form ◽

Fuzzy Delphi ◽

New Framework

This paper discusses the application of Fuzzy Delphi Method (FDM) to obtain the expert consensus inAesthetic Experience (AX) and User Experience (UX) elements for Augmented Reality Comic (AR Comic). Theoretically, AR and comics are two distinctive fields that represent the technology and art. The former is Human Computer Interaction (HCI) for AR and the later is an art form for comic. Consequently, the UX elements are commonly used by scholars to measure AR, while the AX elements are used for evaluate comics. The purpose of this study is to formulate a new elements in AR comic.Thus,both AX and UX elements are subsequently being merged and the consensus from expertsfrom both fields are required. The FDM was selected in this study based on the ability of this method to obtain the constructs and the elements objectively with suggestion and reflection from the selected experts. Expected results from expert consensus are the combination of both elements as a new framework of AR comic.

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Native Mobile Applications With Augmented Reality Development Framework

Russian Digital Libraries Journal ◽

10.26907/1562-5419-2020-23-5-997-1010 ◽

2020 ◽

Vol 23 (5) ◽

pp. 997-1010

Author(s):

Dmitriy Andreevich Evdokimenko ◽

Rinat Gafurovich Khanov

Keyword(s):

Augmented Reality ◽

Mobile Applications ◽

Game Development ◽

Development Framework ◽

New Framework

Framework for development of native mobile applications with augmented reality. Analysis of various development spheres: game development, mobile applications development. The concept of a new framework and a set of tools for developing mobile applications with augmented reality is presented.

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