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2015 | Buch

Designing a Multi-sided Health and Wellbeing Platform: Results of a First Design Cycle Kapitel lesen Erstes Kapitel lesen

Smart Homes and Health Telematics

12th International Conference, ICOST 2014, Denver, CO, USA, June 25-27, 2014, Revised Papers

herausgegeben von: Cathy Bodine, Sumi Helal, Tao Gu, Mounir Mokhtari

Verlag: Springer International Publishing

Buchreihe : Lecture Notes in Computer Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Smart Homes and Health Telematics, ICOST 2014, held in Denver, CO, USA in June 2014.

The 21 revised full papers presented together with three keynote papers and 9 short papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Design and Usability, assistive and sentient environments, cognitive technology, activity recognition, context and situation awareness, Health IT and short contributions.

Inhaltsverzeichnis

Frontmatter

Design and Usability

Frontmatter
Designing a Multi-sided Health and Wellbeing Platform: Results of a First Design Cycle
Abstract
While worldwide several health and wellbeing products and services are being developed to support people to live comfortable and independently in their home environment, widespread adoption of these smart living solutions is still not envisioned. A hindering factor is that users are not aware of possible solutions or where to find them, which could be solved through promoting solutions on shared platforms. Designing such platforms is challenging as multiple stakeholders need to be satisfied and start-up problems need to be overcome. Most theory on platforms is explored in ex-post studies and there is a lack of knowledge on how platforms should be designed and implemented. In this paper, we elicit functional requirements for the design of a multi-sided health and wellbeing platform based on interviews with both end-users and stakeholders. These requirements provide the basis for future design cycles in which, the development and actual implementation of a platform is foreseen.
W. J. W. Keijzer-Broers, G. A. de Reuver, N. A. Guldemond
Design and Usability of a Smart Home Sensor Data User Interface for a Clinical and Research Audience
Abstract
Motion, bed, and gait analysis sensors are installed in the homes of seniors and monitored continuously for the purpose of detecting early signs of health change and functional decline. Automated health alerts are sent to clinical staff as part of a clinical decision support system. Embedded in each health alert is a link to a web interface for interactively displaying the sensor data patterns. The health alerts facilitate early interventions; however, the design and usability of the web interface greatly affect the effectiveness of the clinical decision support system. Here, we present the analysis and redesign of the interactive web-based interface for displaying the in-home sensor data. The current design is analyzed for inconsistencies and potential user frustrations, and a new design is proposed to correct these problems.
Mary Sheahen, Marjorie Skubic
EasiSocial: An Innovative Way of Increasing Adoption of Social Media in Older People
Abstract
Online Social Networking has become one of the biggest successes of the Internet. Facebook is the most popular service with over 1.23 billion users. Online Social Networks have the potential to combat feelings of social isolation amongst the aging population. Nevertheless, many older people do not use online social networks given the barriers resulting from a lack of understanding and perceived usefulness. This paper presents the findings from a ten week training course were participants were trained in the use of Facebook and EasiSocial, a newly introduced web application which displays Facebook in a manner which is more suitable for older people. An evaluation study was undertaken of both applications in an effort to gain insight into the reasons why older people (50–80 years old) do not use social media. Findings demonstrated that EasiSocial was statistically easier to learn and easier to use than Facebook and therefore potentially helpful to increase the adoption of Social Media technologies.
Kyle Boyd, Chris Nugent, Mark Donnelly, Roy Sterritt, Raymond Bond, Lorraine Lavery-Bowen
Agile Development for the Creation of Proper Human-Computer Interfaces for the Elderly
Abstract
While computers may greatly enhance the lives of the elderly, many software developers fail to create human-computer interfaces that properly appeal to elderly users. Developers often fail to take into consideration the elderly user from the beginning, and the elderly now face a variety of challenges when using most applications. We believe that the adoption of a modified agile development workflow when developing human-computer interfaces for the elderly will assist in better integrating an inclusive design into applications as early as possible. Agile development relies heavily on user feedback, which is imperative in the development of elderly-friendly human-computer interfaces where the target audience has a diverse set of abilities.
Drew Williams, Mong-Te Wang, Chih-Hung Chang, Sheikh Iqbal Ahamed, William Chu

Assistive and Sentient Environments

Frontmatter
Testing Real-Time In-Home Fall Alerts with Embedded Depth Video Hyperlink
Abstract
A method for sending real-time fall alerts containing an embedded hyperlink to a depth video clip of the suspected fall was evaluated in senior housing. A previously reported fall detection method using the Microsoft Kinect was used to detect naturally occurring falls in the main living area of each apartment. In this paper, evaluation results are included for 12 apartments over a 101 day period in which 34 naturally occurring falls were detected. Based on computed fall confidences, real-time alerts were sent via email to facility staff. The alerts contained an embedded hyperlink to a short depth video clip of the suspected fall. Recipients were able to click on the hyperlink to view the clip on any device supporting play back of MPEG-4 video, such as smart phones, to immediately determine if the alert was for an actual fall or a false alarm. Benefits and limitations of the technology are discussed.
Erik E. Stone, Marjorie Skubic
ShowMeHow: Using Smart, Interactive Tutorials in Elderly Software Development
Abstract
Many elderly users fail to use technology simply because of the fear of failure, and perceiving themselves as “too old” to use new technology. Studies show that coaching is helpful in assisting the elderly with learning new technology, but unfortunately many do not like to ask for help. We propose the development of smart tutorials that detect user frustration by tracking various affective markers, communicate with the user clearly and offer customized tutorials for the users’ convenience. We hope that such a system will benefit the elderly by giving them on-demand, customized assistance while allowing them to retain their independence.
Drew Williams, Mong-Te Wang, Chih-Hung Chang, Sheikh Iqbal Ahamed, William Chu
Actimetry@home: Actimetric Tele-surveillance and Tailored to the Signal Data Compression
Abstract
An early diagnosis of a neurodegenerative process like the Alzheimer’s disease needs a tele-surveillance at home based on the recording of pathologic signals coming both from the cardiac activity (for detecting the loss of the sinus respiratory arrhythmia) and from the repetition of tasks of the daily life (signing a pathologic behavior called perseveration), whose non-invasive detection can lead to an early diagnosis, if it triggers secondly a battery of tests based on brain imaging, clinical neurology and cognitive sciences to confirm the suspicion of neuronal degeneration. For increasing the efficiency of alarms triggering these tests, we use dedicated tailored data compression methods, whose two examples will be presented, the Dynalets method for quantitative compression of the physiologic signals and the monotonic signature for qualitative compression.
Jacques Demongeot, Olivier Hansen, Ali Hamie, Hana Hazgui, Gilles Virone, Nicolas Vuillerme
Monitoring Patient Recovery Using Wireless Physiotherapy Devices
Abstract
We aim to improve physiotherapy patients’ recovery time by monitoring various prescribed tasks and displaying a score associated with how well the patient has performed said task. This kind of feedback would be desirable in situations where physical proximity between the physiotherapist and his patient is not always convenient or achievable. Having a way to remotely perform and receive feedback on prescribed tasks remedies that problem. We used a wireless device that contains accelerometer (acceleration) and gyroscope (angular velocity) sensors to collect motion information from the patient. After this information has been collected, it is processed in order to provide a more accurate representation of the performed task. The processed data is then broken up into micro-exercises, parts that make up the specified exercise, to evaluate qualitatively how accurately the exercise was performed and quantitatively how many times the task was performed. Finally, a task score is provided to the user that is based on the Functional Ability Scale and a weighted linear algorithm of the sum of the micro-exercise scores. This allows a patient to receive instant feedback on a performed task without the need to physically interact with a physiotherapist.
Nirmalya Roy, Brooks Reed Kindle

Cognitive Technology

Frontmatter
Comparison of Two Prompting Methods in Guiding People with Traumatic Brain Injury in Cooking Tasks
Abstract
This study aims to examine the effectiveness of two prompting methods (i.e., a paper-based method vs a step-by-step user-controlled method on an iPad mini) in guiding individuals with traumatic brain injury (TBI) through the cooking tasks. Eight individuals with traumatic brain injury participated in this study. They were asked to prepare two meals in their home kitchens following the guidance of the two methods, respectively. Their performance were evaluated using the Performance Assessment of Self-Care Skills (PASS) tool. The perceived ease-of-use, usefulness, and cognitive loads of the two prompting methods were assessed using a custom questionnaire. In addition, problems of participants in completing the cooking tasks with both prompting methods were categorized. Results showed that four participants completed cooking tasks more independently with the user-controlled prompting method and most participants preferred the user-controlled method to paper-based prompting. Recommendations for future development of prompting methods were also discussed.
Jing Wang, Harshal Mahajan, Pamela Toto, Ashlee McKeon, Michael McCue, Dan Ding
A Collaborative Patient-Carer Interface for Generating Home Based Rules for Self-Management
Abstract
The wide spread prevalence of mobile devices, the decreasing costs of sensor technologies and increased levels of computational power have all lead to a new era in assistive technologies to support persons with Alzheimer’s disease. There is, however, still a requirement to improve the manner in which the technology is integrated into current approaches of care management. One of the key issues relating to this challenge is in providing solutions which can be managed by non-technically orientated healthcare professionals. Within the current work efforts have been made to develop and evaluate new tools with the ability to specify, in a non-technical manner, how the technology within the home environment should be monitored and under which conditions an alarm should be raised. The work has been conducted within the remit of a collaborative patient-carer system to support self-management for dementia. A visual interface has been developed and tested with 10 healthcare professionals. Results following a post evaluation of system usability have been presented and discussed.
Mark Beattie, Josef Hallberg, Chris Nugent, Kare Synnes, Ian Cleland, Sungyoung Lee
Measuring the Impact of ICTs on the Quality of Life of Ageing People with Mild Dementia
Abstract
The growing of ageing population worldwide and the need to focus research efforts on a specific target group motivate our research to focus on frail ageing people with chronic disease and physical/cognitive deficiencies. The primary goal is to enable the frail and dependant persons, through reliable assistive technologies, to maximize their physical and mental functions, and to continue to engage them in social networks, so that he can continue to lead an independent and purposeful life. Our target is to analyze the users’ habits at home through an extensive survey performed in France recently, and to design a suitable assistive system, which is mainly composed of devices available in the market. This research activity led to the deployment of a simplified hardware infrastructure (gateway, sensors, actuators) in the home of end-users with a limited number of wireless sensors, and to the outsourcing of all the software for data analysis in a framework running on a distant server. The research focuses on the quality of life of ageing people having cognitive and functional limitations, and on recent achievements realised in France and Singapore through several European and national projects, and through Quality of Life Chair (QoL) directed by Mounir Mokhtari and supported by two major health insurance companies in France, namely la Mutuelle Generale and REUNICA.
Mounir Mokhtari, Romain Endelin, Hamdi Aloulou, Thibaut Tiberghien
VA SmartHome for Veterans with TBI: Implementation in Community Settings
Abstract
Individuals with traumatic brain injury (TBI) are at risk for reduced levels of independence, safety issues, falls, and institutionalization. VA SmartHome (SH) technology, developed for Veterans with TBI, uses an accurate indoor tracking technology capable of following numerous individuals simultaneously and resolving their location to approximately 15 cm in an open environment. In addition, SH technologies provide time- and location-dependent prompts to promote independence of the participant by providing reminders for the management of daily activities such as medication, meal planning, and other necessary tasks. SH tech-nology was initially developed for clinical rehabilitation settings, however, was recently expanded to private homes of Veterans with TBI. Current features available in the SH and the process of implementation are presented.
Kristina M. Martinez, Karen M. Mann, Christina Dillahunt-Aspillaga, Jan M. Jasiewicz, Deborah Rugs, Yorick Wilks, Steven G. Scott

Activity Recognition

Frontmatter
Regression Analysis for Gesture Recognition Using RFID Technology
Abstract
The recognition of gestures performed by humans always attracted researchers that applied such algorithms in a broad range of disciplines. In particular, it was exploited on pervasive environments to enable simple communication with automation systems. In this paper, we present a novel gesture recognition algorithm that works under uncertainty. The algorithm is based on the tracking of passive RFID tags installed on everyday life objects. The method is able to perform the difficult task of segmentation and recognize basic directions within noisy dataset of positions. A set of tests was conducted in a realistic environment, and the results obtained are encouraging.
Kevin Bouchard, Bruno Bouchard, Abdenour Bouzouane
Improving Activity Recognition in Smart Environments with Ontological Modeling
Abstract
The problem of activity recognition in smart environments has produced multiple divergent paths of research in an attempt to improve the usability and usefulness of smart environments. In this paper we merge these research paths by defining a method for mapping smart environment sensor activities into an ontologically defined semantic feature space. We show that by using this approach we are able to improve activity recognition by between 5–20 %.
Zachary Wemlinger, Lawrence Holder
Remote Monitoring Using Smartphone Based Plantar Pressure Sensors: Unimodal and Multimodal Activity Detection
Abstract
Automatic activity detection is important for remote monitoring of elderly people or patients, for context-aware applications, or simply to measure one’s activity level. Recent studies have started to use accelerometers of smart phones. Such systems require users to carry smart phones with them which limit the practical usability of these systems as people place their phones in various locations depending on situation, activity, location, culture and gender. We developed a prototype for shoe based activity detection system that uses pressure data of shoe and showed how this can be used for remote monitoring. We also developed a multimodal system where we used pressure sensor data from shoes along with accelerometers and gyroscope data from smart phones to make a robust system. We present the details of our novel activity detection system, its architecture, algorithm and evaluation.
Ferdaus Kawsar, Sheikh Ahamed, Richard Love
Mining for Patterns of Behaviour in Children with Autism Through Smartphone Technology
Abstract
A requirement to maintain detailed recording of child behaviour is commonplace for families engaged in home-based autism intervention therapy. Periodically, a Behaviour Analyst reviews this data to formulate new behaviour change plans and as such, the quality and accuracy of data is paramount. We present a smartphone application that aims to streamline the traditional paper based approaches, which are prone to non-compliance and erroneous detail. In addition, we have applied association rule mining to the collected behaviour data to extract patterns in terms of behaviour causes and effects with a view to offer intelligent support to the Behaviour Analysts when formulating new interventions. The paper outlines the results of a small evaluation of the smartphone component before introducing the methodology used to mine that data to highlight behaviour rules and patterns. Consequently, based on an initial sample of child behaviours, the methodology is then compared to a Behaviour Analyst’s assessment of corresponding paper based records.
William Burns, Mark Donnelly, Nichola Booth

Context and Situation Awareness

Frontmatter
Ontology Based Context Fusion for Behavior Analysis and Prediction
Abstract
Current healthcare systems facilitate patients in provision of healthcare services by using their context information. However, the problem is that the context information received from various sources is of heterogeneous nature which is not useful for conventional systems. To overcome this issue, we propose an ontology-based context fusion framework in this research that fuses the related and relevant context information collected about the patient’s daily life activities for better understanding of patient’s situation and behavior. The fused context information is logged using ontological representation in Life Log deployed on cloud server. On top of the Life Log, behavior analysis and prediction services are developed to analyze the behavior of the patient and provide better healthcare, wellness, and behavior prediction services. System execution flow is demonstrated using a running case study that shows how the overall process is initialized and performed.
Asad Masood Khattak, Amjad Usman, Sungyoung Lee
Quantifying Semantic Proximity Between Contexts
Abstract
Autonomic Agents in Open intelligent space face a wide diversity of Context providers and formats. With a micro approach to Context-awareness, individual Agents perform their own assessment of individual Context relevance. This assessment relies in part on the semantic proximity between requested and candidate Contexts. We present a quantitative semantic distance function that supports subjective Context relevance assessment in Agents.
Patrice Roy, Bessam Abdulrazak, Yacine Belala
Emotion Aware System for the Elderly
Abstract
The growth in elderly population challenges technologists to develop applications explicitly designed for the elderly which are innovative yet intuitive to use. According to recent studies in Gerontology, one of the challenges that an elderly person has to confront is solitude and boredom. With the detectability of emotions through Brain Computer Interfaces (BCI), one can provide reliable services to the elderly that address their emotional needs. In this paper the applications of the Emotiv EPOC, a BCI, is explained by developing a system called AWARE which helps mitigate loneliness in the life of an elderly and provides emergency services and other services based on their real-time emotional state. The AWARE system uses a model of computation that has taken pervasive computing to the next level by reducing the need for an explicit user input and facilitates the understanding of the user’s emotions by the system to address theirs emotional needs.
Hai Yu, Celine Maria Amrita Anthony Sunderraj, Carl K. Chang, Johnny Wong

Health IT

Frontmatter
Dual Locks: Partial Sharing of Health Documents in Cloud
Abstract
While working with the sensitive data e.g., related to health, there is a barrier of mistrust while selecting cloud services. To overcome this barrier various standards of cryptosystem are used like encrypted outsourcing, attribute based encryption and oblivious access policies. The default access model of authorization on encrypted data gives full access permission to its user. To narrow down the access scope as a subset on given authorization is a non-trivial task. To design such systems multiple encryption and decryption keys, data partitioning or attribute based encryption are few available options. These techniques involve extra computation cost and complex issue of key management. In this paper we have proposed a framework to restrict authorization on encrypted data with selective access. The underlying model is independent from complex issue of key management. The proposed model also avoids one dimension of side channel attacks on secure data and that is to learn from the patterns of encrypted traffic. Our experimental results show that selective authorization based on proposed model is compute efficient and create random pattern for user access even for similar queries.
Mahmood Ahmad, Zeeshan Pervez, Sungyoung Lee
Biomedical Ontology Matching as a Service
Abstract
Ontology matching is among the core techniques used for integration and interoperability resolution between biomedical systems. However, due to the excess usage and ever-evolving nature of biomedical data, ontologies are becoming large-scale, and complex; consequently, requiring scalable computational environments with performance and availability in mind. In this paper, we present a cloud-based ontology matching system for biomedical ontologies that provides ontology matching as a service. Our proposed system implements parallelism at various levels to improve the overall ontology matching performance especially for large-scale biomedical ontologies and incorporates third-party resources UMLS and Wordnet for comprehensive matched results. Matched results are delivered to the service consumer as bridge ontology and preserved in ubiquitous ontology repository for future request. We evaluate our system by consuming the matching service in an interoperability engine of a clinical decision support system (CDSS), which generates mapping requests for FMA and NCI biomedical ontologies.
Muhammad Bilal Amin, Mahmood Ahmad, Wajahat Ali Khan, Sungyoung Lee

Short Contributions

Frontmatter
Action Prediction in Smart Home Based on Reinforcement Learning
Abstract
This paper presents an “intelligent” environment that can be occupied by an elderly or handicapped person. It is characterized by its online learning and continuous adaptation based on a new algorithm called “Planning Q-learning Algorithm (PQLA)”. The user can make feedback promptly which simulates an algorithm that reconfigures the existing plans. The software adaptation is run under middleware “WCOMP” based on the aspect of assembly concept to adapt to the environmental changes.
Marwa Hassan, Mirna Atieh
A Mobile Survey Tool for Smoking Dependency Among Native Americans
Abstract
Smoking and tobacco related cancers are very common among Native Americans. Gathering information during different phases of smoking cessation can help us understand different factors that may work during smoking cessation. In this paper, we will present a survey system designed to collect data for several phases of smoking cessation. We designed and developed a survey system that helps researchers to collect data from people who are going through different phases of smoking cessation. We evaluate this system from the experiences of end users and by generating reports.
Golam Mushih Tanimul Ahsan, Drew Williams, Ivor D. Addo, S. Iqbal Ahamed, Daniel Petereit, Linda Burhansstipanov, Linda U. Krebs, Mark Dignan
Smart Built Environments and Independent Living: A Public Health Perspective
Abstract
To address the projected global shortfall of gerontological health care workers, we outline a research approach that is informed by the past successes of public health toward the goal of developing and implementing smart homes at the community-level to support independent living. Specifically, we discuss the epidemiologic triad consisting of host, environment, and agent factors in relation to other person-environment fit models. We propose this model as the underlying framework for a smart homes development approach that focuses on creating task advantages to support independence at home. We provide recommendations to implement the approach by including community-level stakeholders and policy makers in research that uses a model well-recognized by public health professionals.
Blaine Reeder, George Demiris, Hilaire J. Thompson
iCanLearn: A Mobile Application for Creating Flashcards and Social Stories™ for Children with Autism
Abstract
This paper describes the design, implementation, and evaluation of iCanLearn, a mobile flashcard application (app) that can also be used for creating social stories for children with Autism Spectrum Disorders (ASDs). The app allows users to create personalized content using text, pictures and audio on their mobile devices (smartphones and tablets). Users of this application software can also share the content by connecting their devices over Wi-Fi. An evaluation of the app from both the perspective of children with ASD and their caregivers suggests that the app is easy to use.
Aaron Zaffke, Niharika Jain, Norah Johnson, Mohammad Arif Ul Alam, Marta Magiera, Sheikh Iqbal Ahamed
A Comparison Between Ambient Assisted Living Systems
Abstract
The growing number of older people emerges the need to consider autonomy concerns for those people and their need for intensive care. Plenty of researches, such as those in the domain of Ambient Assisted Living Systems, have been carried out to create enhanced conditions for older people and people with disabilities, based on providing ICT solutions that enhance the well-being of elderly people and provide them with well independent daily living. This paper discusses how the efficiency for AAL solutions is achieved, through the identification and introduction of different essential requirements that should be realized to meet the objectives of ALL systems towards their various users, including family members and caregivers. Set of systems has been introduced with their solutions and architectures, to reach the main goal of this work, by evaluating these systems based on the proposed requirements, whether they meet the requirements, by studying system functionalities.
Molham Darwish, Eric Senn, Christophe Lohr, Yvon Kermarrec
Access My Campus
Abstract
Access My Campus is a mobile phone application in development to make college campuses more accessible to students and visitors. Navigating a new college environment is a difficult task for anyone who has not fully explored it. This task is even harder for students and visitors with disabilities, such as visual impairments. Access My Campus seeks to help these students by tracking their position through Wi-Fi triangulation and providing information about classrooms, offices, and other notable landmarks within proximity. Students will also be able to plan routes and be actively guided to their destination.
Kevin Michael Amaral, Ping Chen, William S. Carter, John Sanchez
Immersive Physiotherapy: Challenges for Smart Living Environments and Inclusive Communities
Abstract
The ability to deliver therapeutic healthcare remotely relying on pervasive computing technologies requires addressing real research challenges ranging from sensing people and their interactions with the environment to software abstractions to move data from low-level signals into representations that are understandable and manipulatable by domain experts who are not computer scientists. In this position paper, we inspect the potential for immersive physiotherapy, just one of many potential application of real smart health. The time is right for delivering real services for immersive physiotherapy, as many technological solutions for remote monitoring of patients and their interactions are ready for prime time. In this paper, we take a critical look at remaining tasks, to propose novel concepts for data processing and service delivery of remote physiotherapy applications. We go beyond the obvious integration tasks to uncover real and tangible research challenges that are solvable in the near term and, when solved, will make the vision of immersive physiotherapy possible.
Nirmalya Roy, Christine Julien
Evaluation of the Barthel Index Presented on Paper and Developed Digitally
Abstract
Within medical applications there are two main types of information design; paper-based and digital information. As technology is ever changing, healthcare is continually being transitioned from traditional paper documents to digital and online resources. This paper presents the findings of a study involving 26 participants who are familiar with Activity of Daily Living charts, and used three scenarios requiring them to complete both a paper ADL and a digital ADL. An evaluation was undertaken to discover if there were any ‘human errors’ in completing the paper ADL and also looked for similarities/differences through using the digital ADL. We also analyzed the variability of the decisions made by all subjects. Results illustrate that 22 participants agreed that the digital ADL is better, if not the same as a paper based ADL. Further positives include the added benefit of the digital ADL being easy to use and also that the final calculation is done automatically.
Elizabeth Sarah Martin, Chris Nugent, Raymond Bond, Suzanne Martin
CALONIS: An Artificial Companion Within a Smart Home for the Care of Cognitively Impaired Patients
Abstract
The paper describes a prototype Embodied Conversational Agent or Companion, called CALONIS, for a brain-injured Veteran with severe cognitive impairment. The CALONIS project is a sub-project of the larger Tampa VA SmartHome implementation initiative. CALONIS is intended to provide increased engagement, diversion and assistance beyond the usual mechanisms of providing assistance through text based prompting and interactions. We hope to eventually integrate CALONIS fully into the next generation of the Tampa VA SmartHome in which the SmartHome itself becomes a fully interactive and intelligent electronic caregiver. The project began with a Wizard-of-Oz version of CALONIS but even at this early stage we appear to have achieved high levels of patient engagement as well as in relation to the caregiver. The full CALONIS prototype is based on the Senior Companion project, originally developed as part of a large-scale EU project [1].
Yorick Wilks, Jan M. Jasiewicz, Roberta Catizone, Lucian Galescu, Kristina M. Martinez, Deborah Rugs
Backmatter
Metadaten
Titel
Smart Homes and Health Telematics
herausgegeben von
Cathy Bodine
Sumi Helal
Tao Gu
Mounir Mokhtari
Copyright-Jahr
2015
Electronic ISBN
978-3-319-14424-5
Print ISBN
978-3-319-14423-8
DOI
https://doi.org/10.1007/978-3-319-14424-5

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