Mobile Augmented Reality

2017 ◽  
pp. 153-174 ◽  
Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
Automotive Industry ◽  
Daily Life ◽  
The Other ◽  
Future Trends ◽  
Mobile Augmented Reality ◽  
Daily Life Activities ◽  
Recent Advances

Users who have access to a mobile device have increased in recent years. Therefore, it is possible to use a mobile device as a tool which helps to users in their daily life activities, not only for communication. On the other hand, augmented reality is a growing technology which allows the interaction with real and virtual information at the same time. Mixing mobile devices and augmented reality open the possibility to develop useful applications that users can carry with them all the time. This chapter describes recent advances in the application of mobile augmented reality in automotive industry, commerce, education, entertainment, and medicine; also identifies the different devices used to generate augmented reality, highlights factors to be taken into account for developing mobile augmented applications, introduces challenges to be addressed, and discusses future trends.

Mobile Augmented Reality

2018 ◽  
pp. 200-221 ◽  
Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
Automotive Industry ◽  
Daily Life ◽  
The Other ◽  
Future Trends ◽  
Mobile Augmented Reality ◽  
Daily Life Activities ◽  
Recent Advances

Users who have access to a mobile device have increased in recent years. Therefore, it is possible to use a mobile device as a tool which helps to users in their daily life activities, not only for communication. On the other hand, augmented reality is a growing technology which allows the interaction with real and virtual information at the same time. Mixing mobile devices and augmented reality open the possibility to develop useful applications that users can carry with them all the time. This chapter describes recent advances in the application of mobile augmented reality in automotive industry, commerce, education, entertainment, and medicine; also identifies the different devices used to generate augmented reality, highlights factors to be taken into account for developing mobile augmented applications, introduces challenges to be addressed, and discusses future trends.

The Use of Embedded Mobile, RFID, and Augmented Reality in Mobile Devices

2013 ◽  
pp. 126-137
Author(s):  
Greg Gogolin
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
Radio Frequency Identification ◽  
Smart Phones ◽  
Handheld Devices ◽  
Mobile Augmented Reality ◽  
Rfid Tag ◽  
Frequency Identification ◽  
Mobile Rfid

The proliferation of mobile devices such as smart phones and other handheld devices has stimulated the development of a broad range of functionality, including medical, retail, and personal applications. Technology that has been leveraged to enable many of these uses includes radio frequency identification (RFID), embedded mobile, and augmented reality. RFID involves communication between a tag and a reader. Mobile RFID extends the technology by tagging the mobile device with an RFID tag to perform tasks on the device. Embedded mobile refers to preprogrammed tasks that are performed on a mobile device. Personal care and monitoring is one of the most common uses of embedded mobile. Augmented reality involves the use of computer generated or enhanced sensory input such as audio and visual components to enhance the perception of reality. This is commonly used in situations such as video games where there is feedback in the game controllers.

scholarly journals The Influence of the Frequency of the Internet Use on the Behavioral Relationship Model of the Mobile Device-Based Shopping

2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Internet Use ◽  
Information Quality ◽  
Positive Influence ◽  
The Other ◽  
The Internet ◽  
Relationship Model ◽  
Significant Positive Influence

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>　　With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.

Interactive Books in Augmented Reality for Mobile Devices

2016 ◽  
pp. 1238-1256
Author(s):  
Ana Grasielle Dionísio Corrêa
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
3D Objects ◽  
Geometric Figures ◽  
Augmented Reality Application ◽  
Teachers And Students

One of the methods of teaching that has brought significant contributions to the field of education is augmented reality. This technology transformed learning into a more motivating, enjoyable, fun, and interesting activity. This chapter contributes an augmented reality application for mobile devices that complements and supports the learning of geometric figures. The application, called AGeRA, consists of a geometry book and software capable of reading special markers inserted into the book's content. When this book is placed in front of the camera of a mobile device, 3D objects, sounds, animations, and other interactive elements leap from book pages making learning more fun and exciting. Preliminary tests were made with teachers and students and showed good acceptance of the application to support the teaching of geometry.

Present and Future of Mobile Commerce

2018 ◽  
pp. 1431-1447
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Present and Future of Mobile Commerce

2016 ◽  
pp. 293-308 ◽  
Author(s):  
Barkha Narang ◽  
Jyoti Batra Arora
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Mobile Device ◽  
Context Awareness ◽  
Mobile Commerce ◽  
The Other ◽  
Commercial Activity ◽  
Software Applications ◽  
Information Appliances ◽  
The One

Mobile Commerce is a term to describe any commercial activity on a mobile device, such as a mobile phone (iPhone, Android, Blackberry) or a tablet (iPad, Galaxy Tab, Surface). This includes all steps of the customer journey; reach, attract, choose, convert and retain. Hence mobile commerce is probably best described as shopping that takes advantage of unique properties of mobile devices. It is also called as m-commerce. Pervasive computing aims at availability and invisibility. On the one hand, pervasive computing can be defined as availability of software applications and information anywhere and anytime. On the other hand, pervasive computing also means that computers are hidden in numerous so-called information appliances that we use in our day-to-day lives Characteristics of pervasive computing applications have been identified as interaction transparency, context awareness, and automated capture of experiences.

Know Your World Better

2018 ◽  
pp. 777-793
Author(s):  
Srinivasa K. G. ◽  
Satvik Jagannath ◽  
Aakash Nidhi
Keyword(s):  
Information Retrieval ◽  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
Sensitive Information ◽  
Context Sensitive ◽  
Close Proximity ◽  
Augmented Reality Application ◽  
Device User

Mobile devices are changing the way people live. Users have everything on their fingertips and to support them, there are scores of application which add to the usability and comfort. “Know your world better” is an Augmented Reality application developed for Android. This application helps the user to find friends and locate places in close proximity. In this paper we talk about an application that describes a method of augmenting Point of Interests (POI's) on a mobile device. User has to move his phone pointing in a direction of his choice and POI's if any are shown in real time. The user's interest with respect to the environment is inferred from speech or by selecting from the choices; this data is used for information retrieval from the cloud. The result of context-sensitive information retrieval is augmented onto the view of the mobile and provides speech output.

Interactive Books in Augmented Reality for Mobile Devices

2015 ◽  
pp. 1084-1101
Author(s):  
Ana Grasielle Dionísio Corrêa
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Mobile Device ◽  
3D Objects ◽  
Geometric Figures ◽  
Augmented Reality Application ◽  
Teachers And Students

One of the methods of teaching that has brought significant contributions to the field of education is augmented reality. This technology transformed learning into a more motivating, enjoyable, fun, and interesting activity. This chapter contributes an augmented reality application for mobile devices that complements and supports the learning of geometric figures. The application, called AGeRA, consists of a geometry book and software capable of reading special markers inserted into the book's content. When this book is placed in front of the camera of a mobile device, 3D objects, sounds, animations, and other interactive elements leap from book pages making learning more fun and exciting. Preliminary tests were made with teachers and students and showed good acceptance of the application to support the teaching of geometry.

Distributed Mobile Services and Interfaces for People Suffering from Cognitive Deficits

2009 ◽  
pp. 1069-1079
Author(s):  
Sylvain Giroux ◽  
Hélène Pigot ◽  
Jean-François Moreau ◽  
Jean-Pierre Savary
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Cognitive Deficits ◽  
Mobile Services ◽  
Information Gathering ◽  
The Other ◽  
Cognitively Impaired ◽  
Ecological Information ◽  
Impaired People ◽  
Request Service

The mobile device presented here is designed to offer several services to enhance autonomy, security, and communication for the cognitively impaired people and their caregivers. Two mobile devices are linked through a server; one is dedicated to the patient, the other one to the caregivers. The services fill three functions for patients: a simplified reminder, an assistance request service, and an ecological information gathering service. Three services are available for the caregiver: monitoring patients’ADLs, informing system and colleagues of an intervention, and planning patients’ ADLs.

scholarly journals Noncooperative 802.11 MAC Layer Fingerprinting and Tracking of Mobile Devices

2017 ◽  
Vol 2017 ◽  
pp. 1-21 ◽  
Author(s):  
Pieter Robyns ◽  
Bram Bonné ◽  
Peter Quax ◽  
Wim Lamotte
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Peer To Peer ◽  
Mitigation Strategies ◽  
The Other ◽  
Entropy Analysis ◽  
Mac Layer ◽  
Music Festival ◽  
On Demand ◽  
802.11 Mac

We present two novel noncooperative MAC layer fingerprinting and tracking techniques for Wi-Fi (802.11) enabled mobile devices. Our first technique demonstrates how a per-bit entropy analysis of a single captured frame allows an adversary to construct a fingerprint of the transmitter that is 80.0 to 67.6 percent unique for 50 to 100 observed devices and 33.0 to 15.1 percent unique for 1,000 to 10,000 observed devices. We show how existing mitigation strategies such as MAC address randomization can be circumvented using only this fingerprint and temporal information. Our second technique leverages peer-to-peer 802.11u Generic Advertisement Service (GAS) requests and 802.11e Block Acknowledgement (BA) requests to instigate transmissions on demand from devices that support these protocols. We validate these techniques using two datasets, one of which was recorded at a music festival containing 28,048 unique devices and the other at our research lab containing 138 unique devices. Finally, we discuss a number of countermeasures that can be put in place by mobile device vendors in order to prevent noncooperative tracking through the discussed techniques.

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