Recently, indoor positioning systems (IPSs) have been designed to provide location information of persons and devices. The position information enables location-based protocols for user applications. Personal networks (PNs) are designed to meet the users' needs and interconnect users' devices equipped with different communications technologies in various places to form one network. Location-aware services need to be developed in PNs to offer flexible and adaptive personal services and improve the quality of lives. This paper gives a comprehensive survey of numerous IPSs, which include both commercial products and research-oriented solutions. Evaluation criteria are proposed for assessing these systems, namely security and privacy, cost, performance, robustness, complexity, user preferences, commercial availability, and limitations.We compare the existing IPSs and outline the trade-offs among these systems from the viewpoint of a user in a PN.

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A survey of indoor positioning systems for wireless personal networks

Nowadays, numerous journals and conferences have published articles related to context-aware systems, indicating many researchers' interest. Therefore, the goal of this paper is to review the works that were published in journals, suggest a new classification framework of context-aware systems, and explore each feature of classification framework. This paper is based on a literature review of context-aware systems from 2000 to 2007 using a keyword index and article title search. The classification framework is developed based on the architecture of context-aware systems, which consists of the following five layers: concept and research layer, network layer, middleware layer, application layer and user infrastructure layer. The articles are categorized based on the classification framework. This paper allows researchers to extract several lessons learned that are important for the implementation of context-aware systems.

Context-aware systems

In this article we survey ambient intelligence (AmI), including its applications, some of the technologies it uses, and its social and ethical implications. The applications include AmI at home, care of the elderly, healthcare, commerce, and business, recommender systems, museums and tourist scenarios, and group decision making. Among technologies, we focus on ambient data management and artificial intelligence; for example planning, learning, event-condition-action rules, temporal reasoning, and agent-oriented technologies. The survey is not intended to be exhaustive, but to convey a broad range of applications, technologies, and technical, social, and ethical challenges.

https://romisatriawahono.net/lecture/rm/survey/computer%20vision/Sadri%20-%20Ambient%20Intelligence%20-%202012.pdf

Ambient intelligence: A survey

We define Augmented Reality (AR) as a real-time direct or indirect view of a physical real-world environment that has been enhanced/augmented by adding virtual computer-generated information to it [1]. AR is both interactive and registered in 3D as well as combines real and virtual objects. Milgram’s Reality-Virtuality Continuum is defined by Paul Milgram and Fumio Kishino as a continuum that spans between the real environment and the virtual environment comprise Augmented Reality and Augmented Virtuality (AV) in between, where AR is closer to the real world and AV is closer to a pure virtual environment, as seen in Fig. 1.1 [2].

/pdf/augmented-reality-an-overview-3xvvb32kvv.pdf

Augmented Reality: An Overview

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

Targeted television advertisements based on online behavior

We propose the Agent Network for Bluetooth Devices, a system that uses personal mobile devices as adaptive human-environment interfaces to supply people with ad hoc information and high-level services. The ANBD system operates with a hierarchical framework of service-providing nodes, dynamically composed and managed by mobile agents.

/pdf/an-agent-based-service-network-for-personal-mobile-devices-46w2gksr54.pdf

An agent-based service network for personal mobile devices

This paper discusses a three step procedure to perform high definition positioning by the use of low cost Bluetooth devices. The three steps are: Sampling, Deployment, and Real Time Positioning. A genetic algorithm is discussed for deployment optimization and a neural network for real time positioning. A case study, along with experiments and results, are finally discussed dealing with a castle in Sicily where many trials were carried out to the end of arranging a positioning system for context aware service provision to visitors.

Three step bluetooth positioning

The use of a PDA with ad-hoc built-in information retrieval and auto-localization functionalities can help people in visiting a museum in a natural manner instead of traditional audio/visual pre-recorded guides. The goal of this paper is to build an user-friendly virtual-guide system adaptable to the user needs of mobility and therefore usable on different mobile devices (e.g. PDAs, Smartphones). An information retrieval service is included which is easily accessible through a spoken language interaction or an auto-localization service. The system takes the advantages of Chatbot, speech recognition technologies and RFID detection, allowing a natural interaction with the user.

/pdf/maga-a-mobile-archaeological-guide-at-agrigento-3xte6ljv5c.pdf

MAGA: A Mobile Archaeological Guide at Agrigento

A pervasive, multimodal virtual guide for a cultural heritage site tour is illustrated. The guide is based on the integration of different technologies such as conversational agents, commonsense reasoning knowledge bases, multimodal interfaces and self-location detection systems. The aim of the work is to offer a more natural, context sensitive access to information with respect to traditional audio/visual pre-recorded guides. A prototype has been developed and implemented on a Qtek 9090 with Windows Mobile 2003 in order to deal with the "Museo Archeologico Regionale di Agrigento" domain.

A Multimodal Interaction Guide for Pervasive Services Access

In this work we propose a smart, human-like PDA-based personal shopper assistant. The system is able to understand the user needs through a spoken natural language interaction and then stores the preferences of the potential customer. Subsequently the personal shopper suggests the most suitable items and shops that match the user profile. The interaction is given by automatic speech recognition and text-to-speech technologies; localization is allowed by the use of Wireless technologies, while the interaction is performed by an Alice-based chat-bot endowed with reasoning capabilities. Besides, being implemented on a PDA, the personal shopper satisfies the user needs of mobility and it is also usable on different mobile devices.

A. Genco

Papers

An agent-based service network for personal mobile devices

Three step bluetooth positioning

MAGA: A Mobile Archaeological Guide at Agrigento

A Multimodal Interaction Guide for Pervasive Services Access

A Virtual Shopper Customer Assistant in Pervasive Environments.