scholarly journals AR360: Dynamic Illumination for Augmented Reality with Real-Time Interaction

2019 ◽  
Author(s):  
A'aeshah Alhakamy ◽  
Mihran Tuceryan
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Time Interaction

scholarly journals Real-time Augmented Reality Demo Platform for Exploring Consumer Emotional Responses with Shopping Applications

2013 ◽  
Vol 9 (S8) ◽  
pp. 41 ◽  
Author(s):  
Jasmina Stoyanova ◽  
Ricardo Gonçalves ◽  
Pedro Quelhas Brito ◽  
Antoniio Coelho
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Marketing Research ◽  
Evaluation Process ◽  
Physical World ◽  
Interactive Systems ◽  
3D Registration ◽  
Time Interaction ◽  
Consumer Experiences ◽  
The Impact

The present-day revival of Augmented reality (AR) technology has led to its vast expansion in various applications. In marketing, the hunt for more inventive and intriguing approaches for immersive consumer experiences has endorsed the implementation of AR in multiple brand advertising campaigns, specifically for improved product display. The engaging potential of this technology is established in the fusion between computer-generated data and the physical world as seen by the user, where 3D registration and real time interaction are inseparable parts of this system. Alternatively, impressions from user experiences serve as a principal instrument in the evaluation process of the effectiveness of interactive systems. In order to get deeper insight into consumersâ?? reflections from a real-time AR shopping experience, we present a demo platform for the purchase of sneakers, focusing on usersâ?? behavior and more precisely on their perceptions, emotions, personal preferences before, during and after use of the platform. To fully evaluate and compare consumer experiences with the main AR platform, two other shopping systems were designed: a marker-based and a static one. Consecutively, we aim at defining a system of metrics for measuring shopping experiences with AR, as well as at establishing a ground base for subsequent marketing research in the field. Motivated by the large application of the technology and aiming at understanding the impact of AR on consumer psychology, the application will assist in exploring the antecedents of consumer purchase intentions.

Study on the Development and Application of osgART Based on MFC

2012 ◽  
Vol 220-223 ◽  
pp. 2788-2793
Author(s):  
Kang Gao ◽  
Jing Song Fan ◽  
Ming Shao ◽  
Jun An
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Matrix Multiplication ◽  
Interactive System ◽  
Virtual Objects ◽  
Time Interaction ◽  
System A ◽  
The Operating Mechanism ◽  
User Friendly ◽  
Rendering Engine

In order to achieve a convenient Augmented Reality interactive system, a rendering engine called osgART was integrated into MFC. The system manipulates the interactive transformation of virtual objects by utilizing the message sending from controllers. The operating mechanism of osgART in MFC was explored in this paper. Besides, the controller message had been successfully sent to the update callback, and the SRT order of matrix multiplication was used in update callback class. Finally, a user-friendly interactive AR application has been successfully developed, which shows that an effectively real-time interaction in MFC environment has been achieved.

Pengembangan Media Pembelajaran Mengenal Organ Pencernaan Manusia Menggunakan Teknologi Augmented Reality

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Rujianto Eko Saputro ◽  
Dhanar Intan Surya Saputra
Keyword(s):  
Augmented Reality ◽  
Real Time

Media pembelajaran ternyata selalu mengikuti perkembangan teknologi yangada, mulai dari teknologi cetak, audio visual, komputer sampai teknologi gabunganantara teknologi cetak dengan komputer. Saat ini media pembelajaran hasil gabunganteknologi cetak dan komputer dapat diwujudkan dengan media teknologi AugmentedReality (AR). Augmented Reality (AR) adalah teknologi yang digunakan untukmerealisasikan dunia virtual ke dalam dunia nyata secara real-time. Organ pencernaanmanusia terdiri atas Mulut, Kerongkongan atau esofagus, Lambung, Usus halus, danUsus besar. Media pembelajaran mengenal organ pencernaan manusia pada saat inisangat monoton, yaitu melalui gambar, buku atau bahkan alat proyeksi lainnya.Menggunakan Augmented Reality yang mampu merealisasikan dunia virtual ke dunianyata, dapat mengubah objek-objek tersebut menjadi objek 3D, sehingga metodepembelajaran tidaklah monoton dan anak-anak jadi terpacu untuk mengetahuinya lebihlanjut, seperti mengetahui nama organ dan keterangan dari masing-masing organtersebut.

A Simple and Practical Method for Incorporating Augmented Reality into the Classroom and Laboratory

2018 ◽  
Author(s):  
Kyle Plunkett
Keyword(s):  
Organic Chemistry ◽  
Augmented Reality ◽  
Real Time ◽  
Real World ◽  
Smart Phone ◽  
Practical Method ◽  
Virtual Expert ◽  
Video Projection

This manuscript provides two demonstrations of how Augmented Reality (AR), which is the projection of virtual information onto a real-world object, can be applied in the classroom and in the laboratory. Using only a smart phone and the free HP Reveal app, content rich AR notecards were prepared. The physical notecards are based on Organic Chemistry I reactions and show only a reagent and substrate. Upon interacting with the HP Reveal app, an AR video projection shows the product of the reaction as well as a real-time, hand-drawn curved-arrow mechanism of how the product is formed. Thirty AR notecards based on common Organic Chemistry I reactions and mechanisms are provided in the Supporting Information and are available for widespread use. In addition, the HP Reveal app was used to create AR video projections onto laboratory instrumentation so that a virtual expert can guide the user during the equipment setup and operation.

scholarly journals Augmented Reality Maintenance Assistant Using YOLOv5

2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Object Recognition ◽  
Augmented Reality ◽  
Real Time ◽  
Recognition System ◽  
High Accuracy ◽  
Video Streams ◽  
The Neural Network ◽  
Deep Learning Neural Network

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.

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