A Collaborative Augmented Campus Based on Location-Aware Mobile Technology

2012 ◽  
Vol 10 (1) ◽  
pp. 55-73 ◽  
Author(s):  
A. De Lucia ◽  
R. Francese ◽  
I. Passero ◽  
G. Tortora
Keyword(s):  
Augmented Reality ◽  
Mobile Applications ◽  
Collaborative Environments ◽  
Content Areas ◽  
Student Collaboration ◽  
Wall Area ◽  
Content Sharing ◽  
Augmented Reality System ◽  
Location Aware ◽  
Or Groups

Mobile devices are changing the way people work and communicate. Most of the innovative devices offer the opportunity to integrate augmented reality in mobile applications, permitting the combination of the real world with virtual information. This feature can be particularly useful to enhance informal and formal didactic actions based on student collaboration. This paper describes a “collaborative campus”, originated in the physical architectural space, but exposing learning contents and social information structured as augmented virtual areas. ACCampus, a mobile augmented reality system, supporting the sharing of contextualized information is proposed. This system combines the world perceived by the phone camera with information concerning student location and community, enabling users to share multimedia information in location-based content areas. User localization is initially detected through QR codes. The successive positions of the user are determined using the mobile device sensors. Each augmented area is univocally spatially associated to a representative real wall area. Selective content sharing and collaboration are supported, enabling a user to distribute his/her augmented contents to specific users or groups. An evaluation of the proposed environment is also conducted, which considers that learning in collaborative environments is related to perceived member contribution, enjoinment, motivation, and student participation.

A location-aware framework for intelligent real-time mobile applications

2011 ◽  
Vol 10 (3) ◽  
pp. 58-67 ◽  
Author(s):  
Sean J. Barbeau ◽  
Rafael A. Perez ◽  
Miguel A. Labrador ◽  
Alfredo J. Perez ◽  
Philip L. Winters ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Applications ◽  
Location Aware

scholarly journals A Scalable Location Aware Service Platform for Mobile Applications Based on Java RMI

2000 ◽  
pp. 296-301
Author(s):  
Olaf Droegehorn ◽  
Kirti Singh-Kurbel ◽  
Markus Franz ◽  
Roland Sorge ◽  
Rita Winkler ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Service Platform ◽  
Location Aware ◽  
Java Rmi

Mobile applications for client use: Ethical and legal considerations.

2019 ◽  
Vol 16 (2) ◽  
pp. 281-285 ◽  
Author(s):  
Amanda Edwards-Stewart ◽  
Cynthia Alexander ◽  
Christina M. Armstrong ◽  
Tim Hoyt ◽  
William O'Donohue
Keyword(s):  
Mobile Applications ◽  
Ethical And Legal Considerations

Usability and communication of mobile applications for risk management: the experience of MAppERS

2018 ◽  
Vol 46 ◽  
pp. 101-106
Author(s):  
Chiara Bianchizza ◽  
Simone Frigerio ◽  
Luca Schenato ◽  
Daniele Del Bianco
Keyword(s):  
Risk Management ◽  
Mobile Applications

Enhanced Brady-Tachy Heart Automotive (BT-Heartomotive) Device for Heart Rate Monitoring during Driving

2020 ◽  
Vol 17 (1) ◽  
pp. 7599-7606
Author(s):  
M. A. H. Mohd Adib ◽  
N. H. M. Hasni
Keyword(s):  
Heart Rate ◽  
Mobile Applications ◽  
Good Accuracy ◽  
Rate Measurement ◽  
Road Accidents ◽  
Heart Rate Monitoring ◽  
Physical Conditions ◽  
Car Accidents ◽  
Heart Rate Level ◽  
Main Components

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.

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