An ambient, personalised, and context-sensitive information system for mobile users

2004 ◽  
Author(s):  
Ayse G�ker ◽  
Stuart Watt ◽  
Hans I. Myrhaug ◽  
Nik Whitehead ◽  
Murat Yakici ◽  
...  
Keyword(s):  
Information System ◽  
Mobile Users ◽  
Sensitive Information ◽  
Context Sensitive

scholarly journals A Citizen-Centric Approach for the Improvement of Territorial Services Management

2020 ◽  
Vol 9 (4) ◽  
pp. 223 ◽  
Author(s):  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Michele Grimaldi ◽  
Antonio De Piano
Keyword(s):  
Decision Making ◽  
Information System ◽  
Positive Impact ◽  
Decision Makers ◽  
The Internet ◽  
Sensitive Information ◽  
Context Sensitive ◽  
The Status ◽  
Mobile Component ◽  
Spatio Temporal

In the last decade, there has been a growing awareness that the involvement of citizens in decision making can produce an immediate and positive impact on actions to be taken, as they are the real owners of knowledge about the place where they live. By collecting and geolocating data through smartphones and the Internet, citizens in fact can help decision makers both create sharable spatio-temporal information about objects and phenomena and interpret territorial dynamics. However, although such a role has been definitely recognized, the lack of a homogeneous paradigm for structuring the sensing process, managing the geo big data produced and handling services makes it difficult to exploit such a potentiality. In this paper, we describe a citizen-centric approach conceived to build territorial knowledge useful to provide decision makers with a timely and reliable picture of the status of a given territory. In particular, a visual representation of geospatial knowledge is described, which summaries context-sensitive information about a territory and its citizens, thus improving the land monitoring tasks. An information system, SAFE, is finally presented, which consists of a Web and a mobile component to manage citizen supplied data to be integrated for building reliable dynamic scenarios.

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.

The Role of Ambient Intelligent Environments for Tracking Functional Decline

2015 ◽  
pp. 152-172
Author(s):  
Usman Naeem ◽  
Richard Anthony ◽  
Abdel-Rahman Tawil ◽  
Muhammad Awais Azam ◽  
David Preston
Keyword(s):  
Activity Recognition ◽  
Functional Decline ◽  
Real Life ◽  
Smart Devices ◽  
Sensitive Information ◽  
Context Sensitive ◽  
Key Characteristics ◽  
Ambient Intelligent ◽  
Rich Information

We live in a ubiquitous world where we are surrounded by context sensitive information and smart devices that are able to capture information about our surroundings unobtrusively. Making use of such rich information can enable recognition of activities conducted by elderly users, and in turn can allow the possibility of tracking any functional decline. This chapter highlights the current methods for unobtrusively recognising activities of daily living within a home environment for people with physical or cognitive disabilities. A main group for which this is important for are Alzheimer's patients. The chapter also bases the discussion of what makes a successful environment for carrying out accurate activity recognition, which is then followed by a proposed taxonomy of the key characteristics that are required for robust activity recognition within a smart environment, contextualised with real-life scenarios.

AR-PDA: A Personal Digital Assistant for VR/AR Content

2002 ◽  
Author(s):  
Juergen Fruend ◽  
Carsten Matysczok ◽  
Peter Ebbesmeyer ◽  
Joerg Maciej
Keyword(s):  
Mobile Radiocommunication ◽  
Personal Digital Assistant ◽  
Video Stream ◽  
Sensitive Information ◽  
Virtual Objects ◽  
Context Sensitive ◽  
Technical Realization ◽  
Real Objects ◽  
Relevant Context ◽  
Text Images

This paper describes the development of an AR-based hard- and software system for a mobile digital assistant (AR-PDA). Target group for using this system is the large group of consumers. Here the AR-PDA uses AR technology to efficiently support users during their daily tasks. The technical realization of the system is based on 3rd generation video supported mobile phones. The user visualizes real objects with the AR-PDA. An integrated camera takes the pictures and the AR-PDA sends the video stream by mobile radiocommunication (e.g. UMTS) to the AR server. The server recognizes the objects by analyzing the image and establishes the relevant context-sensitive information, which is added to the video stream as multimedia elements (e.g. sound, video, text, images or virtual objects) and then sent back to the AR-PDA. The function validity is shown on the basis of close to practice application scenarios in the scope of household appliances.

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