A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)

(1) Background: A disabled student or employee in a certain university faces a large number of obstacles in achieving his/her ordinary duties. An interactive smart search and communication application can support the people at the university campus and Science Park in a number of ways. Primarily, it can strengthen their professional network and establish a responsive eco-system. Therefore, the objective of this research work is to design and implement a unified flexible and adaptable interface. This interface supports an intensive search and communication tool across the university. It would benefit everybody on campus, especially the People with Disabilities (PWDs). (2) Methods: In this project, three main contributions are presented: (A) Assistive Technology (AT) software design and implementation (based on user- and technology-centered design); (B) A wireless sensor network employed to track and determine user’s location; and (C) A novel event behavior algorithm and movement direction algorithm used to monitor and predict users’ behavior and intervene with them and their caregivers when required. (3) Results: This work has developed a comprehensive and universal application with a unified, flexible, and adaptable interface to support the different conditions of PWDs. It has employed an interactive smart based-location service for establishing a smart university Geographic Information System (GIS) solution. This GIS solution has been based on tracking location service, mobility, and wireless sensor network technologies. (4) Conclusion: The proposed system empowered inter-disciplinary interaction between management, staff, researchers, and students, including the PWDs. Identifying the needs of the PWDs has led to the determination of the relevant requirements for designing and implementing a unified flexible and adaptable interface suitable for PWDs on the university campus.

[1]  Michela Bertolotto,et al.  Personalization in adaptive and interactive GIS , 2009, Ann. GIS.

[2]  M. Chan,et al.  Smart homes - current features and future perspectives. , 2009, Maturitas.

[3]  Abdelsalam Helal,et al.  Drishti: an integrated navigation system for visually impaired and disabled , 2001, Proceedings Fifth International Symposium on Wearable Computers.

[4]  Wei Pan,et al.  Simultaneous transmission of multiple wireless services over fiber with reduced network complexities , 2014, IEEE/OSA Journal of Optical Communications and Networking.

[5]  Ling Bian,et al.  A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet , 2009, Expert Syst. Appl..

[6]  Constantine Stephanidis,et al.  The Universal Access Handbook , 2009 .

[7]  Mari Carmen Domingo,et al.  An overview of the Internet of Things for people with disabilities , 2012, J. Netw. Comput. Appl..

[8]  Alex Clark,et al.  Disabled People in Britain and Discrimination: A Case for Anti-discrimination Legislation , 1992 .

[9]  Mohammed Abdul Qadeer,et al.  GPS Locator: An Application for Location Tracking and Sharing Using GPS for Java Enabled Handhelds , 2011, 2011 International Conference on Computational Intelligence and Communication Networks.

[10]  Mandeep Kaur,et al.  RFID Technology Principles, Advantages, Limitations & Its Applications , 2011 .

[11]  Chao Li,et al.  User preferences, information transactions and location-based services: A study of urban pedestrian wayfinding , 2006, Comput. Environ. Urban Syst..

[12]  Salvatore Graziani,et al.  Multisensor Strategies to Assist Blind People: A Clear-Path Indicator , 2009, IEEE Transactions on Instrumentation and Measurement.

[13]  Dhruv Jain,et al.  Path-guided indoor navigation for the visually impaired using minimal building retrofitting , 2014, ASSETS.

[14]  Jordi Forné,et al.  Private location-based information retrieval through user collaboration , 2010, Comput. Commun..

[15]  R. J. Beynon,et al.  Computers , 1985, Comput. Appl. Biosci..

[16]  Christophe Kolski,et al.  Taking context into account in conceptual models using a Model Driven Engineering approach , 2011, Inf. Softw. Technol..

[17]  Andrey Ronzhin,et al.  A Universal Assistive Technology with Multimodal Input and Multimedia Output Interfaces , 2014, HCI.

[18]  Jan C. Galvin,et al.  Evaluating, Selecting, and Using Appropriate Assistive Technology , 2004 .

[19]  Ann Lantz,et al.  Accessibility to electronic communication for people with cognitive disabilities: a systematic search and review of empirical evidence , 2014, Universal Access in the Information Society.

[20]  S Szewcyzk,et al.  Annotating smart environment sensor data for activity learning. , 2009, Technology and health care : official journal of the European Society for Engineering and Medicine.

[21]  Tina M. Butterfield,et al.  Research and case study findings in the area of workplace accommodations including provisions for assistive technology: A literature review , 2004 .

[22]  Rory A Cooper,et al.  Quality-of-life technology for people with spinal cord injuries. , 2010, Physical medicine and rehabilitation clinics of North America.

[23]  Salim Ullah,et al.  RFAIDE — An RFID based navigation and object recognition assistant for visually impaired people , 2011, 2011 7th International Conference on Emerging Technologies.

[24]  Stephen S. Yau,et al.  An Adaptive Approach to Optimizing Tradeoff Between Service Performance and Security in Service-Based Systems , 2011, Int. J. Web Serv. Res..

[25]  Jason J. Jung Contextualized mobile recommendation service based on interactive social network discovered from mobile users , 2009, Expert Syst. Appl..

[26]  M. Mahadevappa,et al.  Ultrasonic spectacles and waist-belt for visually impaired and blind person , 2012, 2012 National Conference on Communications (NCC).

[27]  Constantine Stephanidis,et al.  Universal Access in Human-Computer Interaction. Design and Development Methods for Universal Access , 2014, Lecture Notes in Computer Science.

[28]  Abdelsalam Helal,et al.  RFID information grid for blind navigation and wayfinding , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[29]  Guido Bologna,et al.  See ColOr: an extended sensory substitution device for the visually impaired , 2014 .

[30]  Nicos Maglaveras,et al.  A Novel Design Approach for Multi-device Adaptable User Interfaces: Concepts, Methods and Examples , 2011, HCI.

[31]  Charles M. Bishop,et al.  Novel GPS tracking of sea turtles as a tool for conservation management , 2007 .

[32]  Yassine Salih Alj,et al.  Bus Identification System for Visually Impaired Person , 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.

[33]  Jan Gulliksen,et al.  Universal design, inclusive design, accessible design, design for all: different concepts—one goal? On the concept of accessibility—historical, methodological and philosophical aspects , 2014, Universal Access in the Information Society.

[34]  Steven J. Templeton,et al.  Security aspects of cyber-physical device safety in assistive environments , 2011, PETRA '11.

[35]  Katja Hölttä-Otto,et al.  Identifying Customer Needs: Disabled Persons as Lead Users , 2006 .

[36]  Jörg-Rüdiger Sack,et al.  Intelligent map agents — An ubiquitous personalized GIS ☆ , 2007 .

[37]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[38]  Andrew G. Dempster,et al.  Indoor navigation for people who are blind or vision impaired: where are we and where are we going? , 2014, J. Locat. Based Serv..

[39]  Barbara Stover Gingerich Evaluating, Selecting and Using Appropriate Assistive Technology , 1998 .

[40]  Min Dong,et al.  Blind Path Identification System Design Base on RFID , 2010, 2010 International Conference on Electrical and Control Engineering.

[41]  Chih-Ming Chen,et al.  Intelligent Location-Based Mobile News Service System with Automatic News Summarization , 2009, 2009 International Conference on Environmental Science and Information Application Technology.

[42]  Flora Malamateniou,et al.  Enabling data protection through PKI encryption in IoT m-Health devices , 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

[43]  Mathieu Raynal,et al.  Navigation and space perception assistance for the visually impaired: The NAVIG project Assistance à la navigation et à la perception de l'espace pour les déficients visuels : le projet NAVIG , 2012 .

[44]  Barbara Leporini,et al.  Vibrotactile feedback as an orientation aid for blind users of mobile guides , 2008, Mobile HCI.

[45]  Neeli R. Prasad,et al.  People-centric sensing in assistive healthcare: Privacy challenges and directions , 2011, Secur. Commun. Networks.

[46]  Quynh Lê,et al.  Smart Homes for Older People: Positive Aging in a Digital World , 2012, Future Internet.

[47]  Sha Hu,et al.  Tree-Code modeling and addressing for non-ID physical objects in the Internet of Things , 2015, Telecommun. Syst..

[48]  Kristin L. Wood,et al.  PRODUCT USAGE CONTEXT: IMPROVING CUSTOMER NEEDS GATHERING AND DESIGN TARGET SETTING , 2004 .

[49]  Vincenzo Moscato,et al.  A Context-Aware Framework for Cultural Heritage Applications , 2014, 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems.

[50]  Giancarlo Iannizzotto,et al.  Badge3D for Visually Impaired , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[51]  Joel A. Hesch,et al.  Design and Analysis of a Portable Indoor Localization Aid for the Visually Impaired , 2010, Int. J. Robotics Res..

[52]  Alexander Zipf,et al.  Implementing adaptive mobile GI services based on ontologies: Examples from pedestrian navigation support , 2006, Comput. Environ. Urban Syst..

[53]  Francesco Colace,et al.  An Adaptive Contextual Recommender System: a Slow Intelligence Perspective , 2015, SEKE.

[54]  Patricia Yeager,et al.  Assistive technology and employment: experiences of Californians with disabilities. , 2006, Work.

[55]  Eric Castelli,et al.  User Localization in Complex Environments by Multimodal Combination of GPS, WiFi, RFID, and Pedometer Technologies , 2014, TheScientificWorldJournal.

[56]  S. Federici,et al.  The Assistive Technology Assessment Model and Basic Definitions , 2012 .

[57]  Juan Manuel Cueva Lovelle,et al.  Modeling architecture for collaborative virtual objects based on services , 2011, J. Netw. Comput. Appl..