Falls are the leading cause of injuries and death in elderly individuals who live alone at home. The core service of assistive living technology is to monitor elders’ activities through wearable devices, ambient sensors, and vision systems. Vision systems are among the best solutions, as their implementation and maintenance costs are the lowest. However, current vision systems are limited in their

The majority of services that deliver personalized content in smart buildings require accurate localization of their clients. This article presents an analysis of the localization accuracy using Bluetooth Low Energy (BLE) beacons. The aim is to present an approach to create accurate Indoor Positioning Systems (IPS) using algorithms that can be implemented in real time on platforms with low computing

Nowadays, cities are intended to change to a smart city. According to recent studies, the use of data from contributors and physical objects in many cities play a key element in the transformation towards a smart city. The ‘smart city’ standard is characterized by omnipresent computing resources for the observing and critical control of such city’s framework, healthcare management, environment, transportation

The world of computation has shown wide variety of wonders in the past decade with Internet of Things (IoT) being one of the most promising technology. Emergence of IoT brings a lot of good to the technology pool with its capability to provide intelligent services to the users. With ease to use, IoT is backed by a strong Cloud based infrastructure which allows the sensory IoT devices to perform specific

Nowadays, smart applications are increasing day by day to improve the standard of living in smart cities. A modern-day smart city is characterized by the presence of numerous smart Information and Communication Technology (ICT)-enabled services such as automated healthcare, automatic building monitoring, home automation, smart parking, traffic management, data security, among others. Such cities employ

In the popular field of cloud computing, millions of job requests arrive at the data centre for execution. The job of the data centre is to optimally allocate virtual machines (VMs) to these job requests in order to use resources efficiently. In the future smart cities, huge amount of job requestsand data will be generated by the Internet of Things (IoT) devices which will influence the designing of

New technologies and automation systems have changed the traditional smart grid systems into new and integrated intelligent systems. These new smart systems are adopted for energy efficiency, demand and response, management and control, fault recovery, reliability and quality of services. With various benefits, smart grids have vulnerabilities due to open communication systems, and open infrastructures

Abstract Smart manufacturing is a challenging trend being fostered by the Industry 4.0 paradigm. In this scenario Multi-Agent Systems (MAS) are particularly elected for modeling such types of intelligent, decentralised processes, thanks to their autonomy in pursuing collective and cooperative goals. From a human perspective, however, increasing the confidence in trustworthiness of MAS based Cyber-physical

Intelligent buildings are at the forefront due to its main objective of providing comfort to users and saving energy through intelligent control systems. Intelligent systems have been reported to offer comfort to a single user or averaging the comfort of multiple users without considering that their needs may be different from those of other users. This work defines a versatile model for a multi-user

In the current health care scenario, security is the major concern in IoT-WSN with more devices or nodes. Attack or anomaly detection in the IoT infrastructure is increasing distress in the field of medical IoT. With the enormous usage of IoT infrastructure in every province, threats and attacks inthese infrastructures are also mounting commensurately. This paper intends to develop a security mechanism

Over the years, conventional monitoring devices such as video cameras and tape-recorders have been redesigned into smarter and smaller forms which can be integrated seamlessly into an environment. The purpose of these ubiquitous monitoring devices is to enable the provision of innovative applications and services that support user wellbeing. Despite improving operations in essential areas such as health

Nowadays, the advancement of sensing and communication technologies has led to the possibility of collecting a large amount of sensor data, however, to build a reliable computational model and accurately recognise human activities we still need the annotations on sensor data. Acquiring high-quality, detailed, continuous annotations is a challenging task. In this paper, we explore the solution space

In recent years, with the development of advanced mobile applications, people’s various daily behavior data, such as geographic location, social information, hobbies, are more easily collected. To process these data, data cross-boundary fusion has become a key technology, and there are some challenges, such as solving the problems of the cross-boundary business integrity, cross-boundary value complementarity

With the pervasiveness of GPS-enabled devices, a considerable number of GPS traces are accumulating continuously and unobtrusively in online communities. However, almost all current applications directly use raw GPS data, such as coordinates and time stamps, without interpreting these data. Thus far, online communities cannot offer much support to users in terms of recommending geospatial locations

The development of Road Information Acquisition Systems (RIASs) based on the Mobile Crowdsensing (MCS) paradigm has been widely studied for the last years. In that sense, most of the existing MCS-based RIASs focus on urban road networks and assume a car-based scenario. However, there exist a scarcity of approaches that pay attention to rural and country road networks. In that sense, forest paths are

Although spatial and temporal information has often been considered to improve recommendation performances, existing multi-criteria recommender systems often neglect to leverage spatial and temporal information. Also, it is a non-trivial task to simultaneously apply such information to recommendation services since the factors have interrelations to each other. In this paper, we propose a multi-criteria

Abstract CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which can augment CasAware with additional services

This paper argues that energy consideration should be central to software development. It speculates that including the notion of energy awareness in programming language design for domain specific languages (DSLs) is a novel way in which energy-aware and energy-efficient applications can be developed. It outlines the design criteria and rationale for using a language-focused approach for energy-awareness

On November 20, 2018 at 11 am, Andrés Camilo Jiménez Alvarez defended his Ph.D. thesis entitled Decentralized navigation model for multiagent cooperative robotic systems at the Distrital University Francisco José de Caldas. Andrés Camilo Jiménez Alvarez presented his dissertation in a public open event held in the “Wise Caldas Auditory”, and was able to expose and defend all his research, it was approved

Internet of Things (IoT) based systems have revolutionised the way real world systems are inter-connected through internet. At present the application of IoT based systems is extend to real time detection and warning system. However, cost has been a major factor for development and implementation of IoT systems. Considering the cost, ease of implementation, this paper proposes a low cost yet efficient

The number of elderly is increasing in recent years. According to the United Nations (UN), in 2050 there will be 2.1 billion people above 60 years of age worldwide. In addition, the World Health Organization (WHO) reported that more than 1 billion people live with some form of disability, the leading causes of which are chronic diseases and accidents. Thus, many opportunities for the application of

As the Internet of Things (IoT) penetrates different domains and application areas, it has recently entered also the world of robotics. Robotics constitutes a modern and fast-evolving technology, increasingly being used in industrial, commercial and domestic settings. IoT, together with the Web ofThings (WoT) could provide many benefits to robotic systems. Some of the benefits of IoT in robotics have

The presence of pollutants in the air has a direct impact on our health and causes detrimental changes to our environment. Air quality monitoring is therefore of paramount importance. The high cost of the acquisition and maintenance of accurate air quality stations implies that only a small numberof these stations can be deployed in a country. To improve the spatial resolution of the air monitoring

Abstract Air quality is a critical matter of concern in terms of the impact on public health and well-being. Although the consequences of poor air quality are more severe in developing countries, they also have a critical impact in developed countries. Healthcare costs due to air pollution reach $150 billion in the USA, whereas particulate matter causes 412,000 premature deaths in Europe, every year

Precision agriculture has different strategies to collect, process and analyze different types and nature data to be able to make decisions that improve the efficiency, productivity, quality, profitability and sustainability of agricultural production. Specifically, crop sustainability is directlyrelated to reducing costs for farmers and minimizing environmental impact. In this paper, an application

This paper presents a detection method of Alternaria solani in tomatoes. Several machine learning models were used to detect the pathogen, such as the implementation of decision trees and ensemble learning methods. The use of these methods requires the acquisition of large volumes of data and adequate preprocessing of this data. For the presented study the dataset of hyperspectral measurements of two

Large scale real-time water quality monitoring system usually produces vast amounts of high frequency data, and it is difficult for traditional water quality monitoring system to process such large and high frequency data generated by wireless sensor network. A real-time processing and early warning system framework is proposed to solve this problem, Apache Storm is used as the big data processing

Smartphones, with built-in array of sensors, provide an opportunity to ubiquitously collect user’s behavioral data. This leads to variety of founding applications that identifies interesting patterns in the smartphone data to learn human behavior. In this paper, we propose an approach that enhancesthe productivity of individual’s by unobtrusively learning their routine through smartphones. We design

This manuscript presents a new approach to the use of Internet of Things technologies in a practical and significant way in the system of smart data loggers. The subject of research is the observation and control of the microclimate using Internet of Things technology and smart sensor nodes. It isknown that working environments take into account the ambient parameters that influence the concentration

Ambient Assisted Living (AAL) systems are increasingly being deployed in real-world environments and for long periods of time. This significantly challenges current approaches that require substantial setup investment and cannot account for frequent, unpredictable changes in human behaviours, health conditions, and sensor deployments. The state-of-the-art methodology in studying human activity recognition

Abstract We are moving towards ‘smart’ world in which industries, such as healthcare, smart cities, transportation, and agriculture have started using IoT (Internet of Things). These applications involve huge number of sensors and devices that generate high volume of real time data. To perform useful analytics on this data, location and spatial awareness characteristics of devices need to be considered

People spend their leisure time on cultural and historical stories by visiting exhibitions and museums with family members and friends. This small gathering establishes a voluntary platform to engage in activities and share experiential knowledge. Since members of a small group tend to have diversepreferences, both individual and group preferences should be considered for a cohesive and harmonious

Formal modeling and analysis of human behavior can properly advance disciplines ranging from psychology to economics. The ability to perform such modeling has been limited by a lack of ecologically-valid data collected regarding human daily activity. We propose a formal model of indoor routine behavior based on data from automatically-sensed and recognized activities. A mechanistic description of behavior

The way people interact in daily life is a challenging phenomenon to be captured and studied without altering the natural rhythm of the interactions. We investigate the development of automated tools that may provide information to the researchers that analyse interactions among humans. One important requirement of these tools is that should not interfere with the subjects under observation, in order

Vehicular networking has gained considerable interest within the research community and industry. The automotive industry is supporting the notion of pervasive connectivity by agreeing to equip vehicles with devices required for vehicular ad hoc networking. Equipped with these devices, mobile nodesin vehicular ad hoc networks (VANETs) are capable of hosting many types of applications as services for

Currently, smartwatches are mainly used as an extension of smartphones. However, equipped with various motion sensors, they are also effective devices for human activity recognition, particularly for those involving hand and arm movements. In this paper, we investigate the smoking recognition problem with motion sensors on smartwatches using supervised learning algorithms. For this purpose, we collected

Abstract Predicting the footfall in a new brick-and-mortar shop (and thus, its prosperity), is a problem of strategic importance in business. Few previous attempts have been made to address this problem in the context of big data analytics in smart cities. These works propose the use of social network check-ins as a proxy for business popularity, concentrating however only on singular business types

Abstract In this paper, we present our study regarding facilitating storytelling of older adults living in the nursing home with their children. The paper was driven by the following research questions: (1) What life stories would the older adults like to share? And (2) In which ways, could design enable the older adults to tell their stories? We designed a tangible device named Slots-Story, and conducted

Smart environments can already observe the actions of a human through pervasive sensors. Based on these observations, our work aims to predict the actions a human is likely to perform next. Predictions can enable a robot to proactively assist humans by autonomously executing an action on their behalf. In this paper, Action Graphs are introduced to model the order constraints between actions. Action

The rapid growth of the world’s population increases the demand for more efficient management of ambient and environment. To address the demand, modern technologies are applied to enhance the surrounding to become more intelligent and efficient such as the development of intelligent building (IB) via the enhancement of the building with interconnected sensors, advanced event detection mechanism and

Diabetes is among the most common medical issues which people are facing nowadays. It may cause physical incapacity or even death in some cases. It has two core types, namely type I and type II. Both types are chronic and influence the functions of the human body that regulate blood sugar. In the human body, glucose is the main element that boosts cells. However, insulin is a key that enters the cells

Smart homes equipped with ambient wireless sensor networks provide new opportunities to help older adults age-in-place, improve their quality of life and help better manage their health and wellness. In this paper, we present a methodology that estimates occupants’ status as active, sedentary, in-bed, out-of-home and unobservable, their location in the house, and their daily activities related to overall

First and the foremost, universities and businesses will need to address new or amplified existing societal issues, such as poverty, unemployment, isolation, mental health problems, a lack of digital literacy and many others and re-invent their institutional roles in society For organisations to embrace ethically and socially responsible thinking, the provision of social responsibility education is

Over the past eleven years of its life, our Journal has been supported by a large number of colleagues who contributed with their time and expertise to assess the quality of the submissions to JAISE and helped decide which papers qualify to be published. These reviewers are an important part of the JAISE community and we would like to explicitly thank all of them for their valuable contributions. The

Andrés Muñoz a, Juan Carlos Augusto b, Vincent Tam c and Hamid Aghajan d a Polytechnic School, Universidad Católica de Murcia, Spain b Department of Computer Science and Research Group on Development of Intelligent Environments, Middlesex University, UK c Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, China d imec, IPI, Department of Telecommunications

Virtual borders are employed to allow humans the interactive and flexible restriction of their mobile robots' workspaces in human-centered environments, e.g. to exclude privacy zones from the workspace or to indicate certain areas for working. They have been successfully specified in interaction processes using methods from human-robot interaction. However, these methods often lack an expressive feedback

Recently, technological advancements have led to the use of autonomous devices such as robotic devices to facilitate gait rehabilitation and assistance. While autonomous devices have become faster, “smarter”, stronger, more accurate and reliable, challenges remain in adaptability, decision making and robustness to changing and uncertain situations. To address these shortfalls and improve flexibility

Written by an outstanding group of experts in the field, this book presents an exciting and fresh compilation of the last advances and developments in one of the most popular nanostructured materials, nanoporous anodic alumina. The electrochemical and synthetic methods, as well as characterization techniques and applications will be discussed in detail throughout this book. Nanoporous anodic alumina

Rapid population aging and the availability of sensors and intelligent objects motivate the development of healthcare systems; these systems, in turn, meet the needs of older adults by supporting them to accomplish their day-to-day activities. Collecting information regarding older adults daily activity potentially helps to detect abnormal behavior. Anomaly detection can subsequently be combined with

Adaptive context-aware learning environments (ACALEs) can detect the learner’s context and adapt learning materi-als to match the context. The support for context-awareness and adaptation is essent ...

This Thematic Issue on “Situation-aware Intelligent Environments” of JAISE consists of five selected papers from the 14th International Conference on Intelligent Environments 2018, which was held in Rome (Italy) during June 25–28, 2018. Intelligent Environments is one of the main components of the concept of Ambient Intelligence (AmI) and covers some key areas of research including, but not limited

In smart spaces with connected smart lighting, there is an opportunity to deliver smartphone notifications using peripheral light, along with using standard smartphone modalities such as sound, vibration and LEDs, in order to help a user perceive them without constantly monitoring their mobile device. In this paper, we examine the effectiveness of on-device and extra-device modalities through smart

Process mining is a research field focused on the analysis of event data with the aim of extracting insights related to dynamic behavior. Applying process mining techniques on data from smart home environments has the potential to provide valuable insights in (un)healthy habits and to contribute to ambient assisted living solutions. Finding the right event labels to enable the application of process

This paper introduces the Internet-of-Things (IoT) and describes its evolution from a concept proposed by Kevin Ashton in 1999 through its public emergence in 2005 in a United Nations ITU report entitled “The Internet of Things”, to the present day where IoT devices are available as off-the-shelf products from major manufacturers. Using a systematic study of public literature, the paper presents a

This paper highlights selected grand challenges that concern especially the social and the design dimensions of research and development in Ambient Intelligence (AmI) and Smart Environments (SmE). Due to the increasing deployment and usage of ‘smart’ technologies determining a wide range of everyday life activities, there is an urgent need to reconsider their societal implications and how to address

Ambient intelligence (AmI) is intrinsically and thoroughly connected with artificial intelligence (AI). Some even say that it is, in essence, AI in the environment. AI, on the other hand, owes its success to the phenomenal development of the information and communication technologies (ICTs), based on principles such as Moore’s law. In this paper we give an overview of the progress in AI and AmI interconnected

The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and actuators, which enable their connection to the Internet. The IoT is seen as the key ingredient for the development of smart environments. Nevertheless, the

Assisted living applications can support aging in place efficiently when their context-awareness is based on a real-life-proof approach to activity detection. Recently, Caroux et al. proposed a new approach to monitoring activities dedicated to older adults, named "activity verification". This approach uses a knowledge-driven framework that draws from the literature on older adults. The purpose of

In the past decades, we have witnessed a proliferation of interactive public displays for advertisement, entertainment and exhibition. We believe they also have great potential in the public spaces of caring environments if supported by related knowledge of design and research. This study explores how to design and evaluate interactive public displays in caring environments with a case study. In this

Step counting (SC) algorithms can be applied to different areas such as well-being applications, games, and indoor navigation. Many existing SC algorithms for smartphones use data from inertial sensors to infer the number of steps taken, but their usefulness in real-life situations is limited since typically only a few positions and orientations are supported. Moreover, the algorithms may suffer from