Indoor LBS

Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indoor locations, this study presents the development of a novel intelligent parking service called iParking. With the iParking service, multiple parties such as users, parking facilities and service providers are connected through Internet in a distributed architecture. The client software is a lightweight application running on a smartphone, and it works essentially based on a precise indoor positioning solution, which fuses Wireless Local Area Network (WLAN) signals and the measurements of the built-in sensors of the smartphones. The positioning accuracy, availability and reliability of the proposed positioning solution are adequate for facilitating the novel parking service. An iParking prototype has been developed and demonstrated in a real parking environment at a shopping mall. The demonstration showed how the iParking service could improve the parking experience and increase the efficiency of parking facilities. The iParking is a novel service in terms of cost-and energy-efficient solution.

Indoor environments differ from outdoor in many aspects. This, added to the limitations faced by other common standards for urban features reinforced the need of setting a dedicated standard for indoor applications. IndoorGML was born in this context to provide the basic concepts, data models, and standard that meet the requirements of indoor spatial applications. Indoor spatial information can be generally classified into two categories: indoor objects such as architectural components (walls, stairs, slabs) and interior facilities (furniture); indoor spaces such as cavities (rooms and corridors) or virtual subdivision (sensor and legal spaces). Handling both information is necessary to support applications ranging from Indoor location-based services (LBS), indoor route analysis or indoor geo-tagging to building and asset management. In this paper, we present the proposed changes to the second version of IndoorGML, under preparation and intended to provide the necessary support for applications using information from those two categories. IndoorGML 2.0 is open to all applications that rely on indoor spaces and require analysis that can be performed on a network, extracted from those spaces utilizing neighbourhood relationships. It follows a model-driven approach, i.e. all concepts are presented by the Unified Modelling Language, from which technical implementations are derived (GML, JSON, SQL, etc.). We present the proposed changes to the previous version, illustrate a way of representing indoor objects other than spaces and discuss several use cases of the standard.

Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indoor locations, this study presents the development of a novel intelligent parking service called iParking. With the iParking service, multiple parties such as users, parking facilities and service providers are connected through Internet in a distributed architecture. The client software is a lightweight application running on a smartphone, and it works essentially based on a precise indoor positioning solution, which fuses Wireless Local Area Network (WLAN) signals and the measurements of the built-in sensors of the smartphones. The positioning accuracy, availability and reliability of the proposed positioning solution are adequate for facilitating the novel parking service. An iParking prototype has been developed and demonstrated in a real parking environment at a shopping mall. The demonstration showed how the iParking service could improve the parking experience and increase the efficiency of parking facilities. The iParking is a novel service in terms of cost-and energy-efficient solution.

In recent years there has been a growing interest in the use of multimedia mobile guides in museum environments. Mobile devices have the capabilities to detect the user context and to provide pieces of information suitable to help visitors discover and follow the logical and emotional connections that develop during the visit. In this scenario, location based services (LBS) currently represent an asset, and the choice of the technology to determine users' position, combined with the definition of methods that can effectively convey information, become key issues in the design process. In this work, we present Museum Assistant (MusA), a general framework for the development of multimedia interactive guides for mobile devices. Its main feature is a vision-based indoor positioning system that allows the provision of several LBS, from way-finding to the contextualized communication of cultural contents, aimed at providing a meaningful exploration of exhibits according to visitors' personal interest and curiosity. Starting from the thorough description of the system architecture, the article presents the implementation of two mobile guides, developed to respectively address adults and children, and discusses the evaluation of the user experience and the visitors' appreciation of these applications.

The IP Multimedia Subsystem (IMS) delivers multimedia services using IP integrated voice and packet services. IMS also provide users seamless connectivity. In this paper a location tracking system for IMS is developed track the location of a device. The existing testbed that supports Session Initiated Protocol (SIP) had been developed in the UTM MIMOS Coe, Universiti Teknologi Malaysia. However it is using 2D location tracking mechanism. The 2D location tracking mechanism only supports tracking the mobile unit position in the same level and provides handover or device switching. However if the user need to go to another level, user will have to disconnected the connection. This paper proposed a 3D indoor location tracking for mobile units allow roaming with SIP support. The location tracking will in a way help the user by providing seamless mobility at all services level. This paper present the initial results for the 3D location tracking tested at one level.

Location tracking in an indoor environment is possible with various techniques based on mechanical, acoustical, ultrasonic, optical, infrared, inertial or radio signal measurements. Global Positioning System (GPS) is one of famous tracking system as a feasible and effective outdoor tracking system. Nowadays, location tracking information and visualization of 3D graphics either in outdoor or indoor environment had been presented as one of research issues. Traditional tracking system with 2D-image standard presents only few and dull information to users. In addition 2D localization only supports one level platform (i.e. horizontally). Thus, the 3D location tracking system had been developed to support multilevel network. In this paper we developed a real-time indoor tracking system with 3D locations which are able to provide more useful location tracking information to user using radio signals. This system had been developed for multiple levels building. For this project we used the existing Wireless Local Area Network (WLANs) attached devices called the access point (AP) to the edge of the wired network. Nodes communicate with the AP using a wireless network adapter similar in function to a traditional Ethernet adapter. The signal from the nodes or the APs that using WLAN can be

Abstract—In this paper, we present an approach to estimate the location of mobile unit in an indoor WiFi network environment. The estimated location information is then used to perform seamless session mobility across devices (ie device switching) in an IPv6 network. ...

Indoor positioning technologies have been widely studied with a number of solutions being proposed, yet substantial applications and services are still fairly primitive. Taking advantage of the emerging concept of the connected car, the popularity of smartphones and mobile Internet, and precise indoor locations, this study presents the development of a novel intelligent parking service called iParking. With the iParking service, multiple parties such as users, parking facilities and service providers are connected through Internet in a distributed architecture. The client software is a lightweight application running on a smartphone, and it works essentially based on a precise indoor positioning solution, which fuses Wireless Local Area Network (WLAN) signals and the measurements of the built-in sensors of the smartphones. The positioning accuracy, availability and reliability of the proposed positioning solution are adequate for facilitating the novel parking service. An iParking prototype has been developed and demonstrated in a real parking environment at a shopping mall. The demonstration showed how the iParking service could improve the parking experience and increase the efficiency of parking facilities. The iParking is a novel service in terms of cost-and energy-efficient solution.

Ubiquitous computing for context aware system collects information from many static and moving devices as well as sensor integrated objects. To provide valuable services, it is necessary to track the location of the users or objects. There are many possible applications that can apply location-assisted service such as child tracking, supermarket trolley alert system, firefighter tracking and many more. This paper proposed an indoor location assisted device switching for Voice over Internet Protocol (VoIP) application using session initiated protocol (SIP) for Wireless Local Area Network (WLAN) based. We present real test-bed measurements for indoor environment giving the results of the system operation as well as the system performance. The system performance shows excellent accuracy of 1m.

Ubiquitous computing for context aware system collects information from many static and moving devices as well as sensor integrated objects. To provide valuable services, it is necessary to track the location of the users or objects. There are many possible applications that can apply location-assisted service such as child tracking, supermarket trolley alert system, firefighter tracking and many more. This paper proposed an indoor location assisted device switching for Voice over Internet Protocol (VoIP) application using session initiated protocol (SIP) for Wireless Local Area Network (WLAN) based. We present real test-bed measurements for indoor environment giving the results of the system operation as well as the system performance. The system performance shows excellent accuracy of 1m.

With funding from an Institute of Museum and Library Services (IMLS) Sparks! Ignition Grant, researchers from the University of Illinois Library designed and tested a mobile recommender app with augmented reality features. By embedding open source optical character recognition software into a “Topic Space” module, the augmented reality app can recognize call numbers on a book in the library and suggest relevant items that are not shelved nearby. Topic Space can also show users items that are normally shelved in the starting location but that are currently checked out. Using formative UX methods, grant staff shaped app interface and functionality through early user testing. This paper reports results of UX testing; a redesigned mobile interface, and provides considerations on the future development of personalized recommendation functionality.

The purpose of this paper is to report results of a formative usability study that investigated first-year student use of an optical character recognition (OCR) mobile application (app) designed to help students find resources for course assignments. The app uses textual content from the assignment sheet to suggest relevant library resources of which students may not be aware.

More devices in the future will be connected to the Internet wirelessly and also these devices can move within the coverage area of the mobile network. A mobile ad hoc network consists of devices or nodes that are able to communicate among themselves. These nodes also serve as routers and can dynamically move around arbitrarily at any speed in any direction resulting in an ever-changing topology for the MANET. Due to the node mobility, the most challenging issue is to design a routing protocol that guarantees delivery of packets. In order to improve the network routing performance, a limited casting technique is adopted which requires the ability to establish position information. Once each node's location is determined, the distance between nodes can be derived and the number of hops to the destination can be computed. A GPS-free indoor position tracking system has been developed that provides knowledge of the geometric location of nodes in a MANET.

Ubiquitous computing for context aware system collects information from many static and moving devices as well as sensor integrated objects. To provide valuable services, it is necessary to track the location of the users or objects. There are many possible applications that can apply location-assisted service such as child tracking, supermarket trolley alert system, firefighter tracking and many more. This paper proposed an indoor location assisted device switching for Voice over Internet Protocol (VoIP) application using session initiated protocol (SIP) for Wireless Local Area Network (WLAN) based. We present real test-bed measurements for indoor environment giving the results of the system operation as well as the system performance. The system performance shows excellent accuracy of 1m.