Direct Control of Ambient Devices by Gaze
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Research Journal of Pharmaceutical, Biological and Chemical Sciences
ISSN: 0975-8585 Research Journal of Pharmaceutical, Biological and Chemical Sciences A Novel Framework for Fall Detection by Using Ambient Sensors and Voice Recording. P Megana Santhoshi1*, and Mythili Thirugnanam2. 1PhD scholar, School of Computer Science and Engineering (SCOPE), VIT University, Tamil Nadu, India 2School of Computer Science and Engineering (SCOPE), VIT University, Vellore-632014, Tamil Nadu, India. ABSTRACT Now a day’s falls are the second ruling cause to unintentional injury death of elderly person. Fall detection methods are introduced to assist the elderly person. For any type of patient irrespective of age, first one to two hours treatment is crucial at the time of emergency. Before starting the treatment, it would be very helpful if caregivers know exact injury type. This paper aims to propose a framework on IoT and cloud computing based fall detection scheme using ambient sensors along with voice recording. With the help of voice clip and fall alarm, patient had a feasibility to inform exact injury to hospital. Hospital people will facilitate relevant department services to start quick treatment. Keywords: Ambience based fall detection; voice recorder based health system; wireless sensor networks (WSN’s); IoT (Internet of Things); Cloud computing; smart health care system. *Corresponding author September – October 2016 RJPBCS 7(5) Page No. 2097 ISSN: 0975-8585 INTRODUCTION The number of persons above the age of 60 years is huge growing, especially in India. As per Indian government ministry of statistics, India is the second population country in the world having 1.21 Billion people. In that 35.5% of people are at or over the age of 60. -
Physical Selection in Ubiquitous Computing
ESPOO 2007 VTT PUBLICATIONS 663 VTT PUBLICATIONS 663 Physical Selection in Ubiquitous Computing VTT PUBLICATIONS 645 Laitila, Arja. Microbes in the tailoring of barley malt properties. 2007. 107 p. + app. 79 p. 646 Mäkinen, Iiro. To patent or not to patent? An innovation-level investigation of the propensity to patent. 2007. 95 p. + app. 13 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 647 Mutanen, Teemu. Consumer Data and Privacy in Ubiquitous Computing. 2007. 82 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 + app. 3 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 648 Vesikari, Erkki. Service life management system of concrete structures in nuclear 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 power plants. 2007. 73 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 -
Solving Human Centric Challenges in Ambient Intelligence Environments to Meet Societal Needs
Solving Human Centric Challenges in Ambient Intelligence Environments to Meet Societal Needs A Dissertation Presented to the Faculty of the School of Engineering and Applied Science University of Virginia In Partial Fulfillment of the requirements for the Degree Doctor of Philosophy (Computer Science) by Erin Griffiths December 2019 © 2019 Erin Griffiths Approval Sheet This dissertation is submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science) Erin Griffiths This dissertation has been read and approved by the Examining Committee: Kamin Whitehouse, Adviser Jack Stankovic, Committee Chair Mary Lou Soffa A.J. Brush John Lach Accepted for the School of Engineering and Applied Science: Dean, School of Engineering and Applied Science December 2019 i To everyone who has helped me along the way. ii Abstract In the world today there exists a large number of problems that are of great societal concern, but suffer from a problem called the tragedy of the commons where there isn`t enough individual incentive for people to change their behavior to benefit the whole. One of the biggest examples of this is in energy consumption where research has shown that we can reduce 20-50% of the energy used in buildings if people would consistently modify their behavior. However, consistent behavior modification to meet societal goals that are often low priority on a personal level is often prohibitively difficult in the long term. Even systems design to assist in meeting these needs may be unused or disabled if they require too much effort, infringe on privacy, or are frustratingly inaccurate. -
Understanding Expressions of Internet of Things
Understanding Expressions of Internet of Things Kuo Chun, Tseng*, Rung Huei, Liang ** * Department of Industrial and Commercial Design, National Taiwan University of Science and Technology, Taipei, Taiwan, [email protected] ** Department of Industrial and Commercial Design, National Taiwan University of Science and Technology, Taipei, Taiwan, [email protected] Abstract: A recent surge of research on Internet of Things (IoT) has given people new opportunities and challenges. Unfortunately, little research has been done on conceptual framework, which is a crucial aspect to envision IoT design. We found that designers usually felt helpless when designing smart objects in contrast to traditional ones and needed more resources for potential expressions of interactive embodiment with this new technology. Moreover, it appears to be unrealistic to expect the designer to follow the programming thinking and theory of MEMS (Micro Electro Mechanical Systems) field. Therefore, instead of focusing on exploring the technology, this paper proposes an analytical framing and investigates interactive expressions of embodiment on smart objects that help designers understand and handle the technology as design material to design smart objects during the coming era of IoT. To achieve this goal, first we conceptualize an IoT artifact as an object that has four capabilities and provide a clear framework for understanding a thing and multiple things over time and space in ecology of IoT things powered by a cloud-based mechanism. Second, we show the analytical results of three categories: smart things and design agenda over cloud in respect of time and space. Third, drawing on the taxonomy of embodiment in tangible interfaces by Fishkin K. -
THE UNIVERSITY of CALGARY Contextual Locations in the Home by Kathryn Kylie Elliot a THESIS SUBMITTED to the FACULTY of GRADUATE
THE UNIVERSITY OF CALGARY Contextual Locations in the Home by Kathryn Kylie Elliot A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE CALGARY, ALBERTA DECEMBER, 2006 © Kathryn Kylie Elliot 2006 Approval Page THE UNIVERSITY OF CALGARY FACULTY OF GRADUATE STUDIES The undersigned certify that they have read, and recommend to the Faculty of Graduate Studies for acceptance, a thesis entitled “Contextual Locations in the Home” submitted by Kathryn Kylie Elliot in partial fulfillment of the requirements for the degree of Master of Science. Supervisor, Saul Greenberg Department of Computer Science Sheelagh Carpendale Department of Computer Science External Examiner, Barry Wylant Faculty of Environmental Design University of Calgary Date - ii - Abstract In this thesis, I address the problem of designing technology for communication and coordination information management in the home. First, I use contextual interviews to examine how households currently manage this information. From these interviews, I identify five types of communicative information. I then discuss how these types are created and understood by home inhabitants as a function of contextual locations within the home. The choice of location for a piece of information is important to the functioning of the home, and is highly nuanced. Location helps home inhabitants understand time, ownership and awareness. Finally, I show how this understanding can be applied in design through two case studies in location-based home technology design. This will provide practitioners and designers with a more complete view of information in the home, and a better understanding of how technology embedded within the home can augment communication and coordination of home inhabitants. -
Integrating Usability Models Into Pervasive Application Development
Integrating Usability Models into Pervasive Application Development Paul Holleis München 2008 Integrating Usability Models into Pervasive Application Development Paul Holleis Dissertation an der Fakultät für Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universität München vorgelegt von Paul Holleis aus Bad Reichenhall München, den 15.12.2008 Erstgutachter: Prof. Dr. Albrecht Schmidt Zweitgutachter: Prof. Dr. Heinrich Hußmann Externer Gutachter: Prof. Dr. Antonio Krüger Tag der mündlichen Prüfung: 19.01.2009 To my dad, who would have enjoyed reading this thesis. Table of Contents vii Table of Contents 1 INTRODUCTION AND STRUCTURE .......................................................................................................... 1 1.1 GOALS AND CONTRIBUTIONS .......................................................................................................................... 1 1.2 STRUCTURE ................................................................................................................................................. 2 2 DEVELOPING PERVASIVE APPLICATIONS ................................................................................................ 3 2.1 PERVASIVE COMPUTING ................................................................................................................................. 3 2.1.1 Brief History and Overview .............................................................................................................. 3 2.1.2 Applications and Related Terms ..................................................................................................... -
Internet of Nano-Things, Things and Everything: Future Growth Trends
future internet Review Internet of Nano-Things, Things and Everything: Future Growth Trends Mahdi H. Miraz 1 ID , Maaruf Ali 2, Peter S. Excell 3,* and Richard Picking 3 1 Centre for Financial Regulation and Economic Development (CFRED), The Chinese University of Hong Kong, Sha Tin, Hong Kong, China; [email protected] 2 International Association of Educators and Researchers (IAER), Kemp House, 160 City Road, London EC1V 2NX, UK; [email protected] 3 Faculty of Art, Science and Technology, Wrexham Glyndwrˆ University, Wrexham LL11 2AW, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-797-480-6644 Received: 22 June 2018; Accepted: 25 July 2018; Published: 28 July 2018 Abstract: The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified. -
Ambient Intelligence: Principles, Current Trends, Future Directions Manas Kumar Yogi * K
International Journals of Advanced Research in Computer Science and Software Engineering Research Article February ISSN: 2277-128X (Volume-8, Issue-2) a 2018 Ambient Intelligence: Principles, Current Trends, Future Directions Manas Kumar Yogi * K. Chandrasekhar Bhanu Prakash Asst. Prof., CSE Department, Asst. Prof., CSE Department, B.Tech II Year Student, CSE Pragati Engineering College, Pragati Engineering College, Department, Pragati Engineering Andhra Pradesh, India Andhra Pradesh, India College, Andhra Pradesh, India [email protected] [email protected] [email protected] Abstract— In this paper we have presented the involved principles, trends, future directions of ambient intelligence. in the first section we have elucidated concept of ambient intelligence with the prevalent need of intelligent communication with the help of designing knowledgeable entities. We have presented the design process of I-blocks with its inherent merits. we have also discussed the various design concepts of ambient intelligence objects. Finally, we presented the current research directions to motivate societal needs of human beings. Keywords— ambient, Computer Vision, intelligence, smart, ubiquitous I. INTRODUCTION This introductory paper describes Ambient Intelligence (AmI) from the perspectives of researchers working in the field of Artificial Intelligence and Computer Vision. It is for the reader to get acquainted with some of the ideas .That will be explored in greater detail in the following content .Ambient Intelligence is a term that was introduced by the European community to identify a paradigm to equip environments with advanced technology and computing to create an ergonomic space for the occupant user. Here the term ergonomic is used in a broad sense, encompassing both better living environment, secure space, but also an active, almost living space around us; capable of aiding us with daily chores and professional duties. -
Ambient Sensors for Elderly Care and Independent Living: a Survey
sensors Review Ambient Sensors for Elderly Care and Independent Living: A Survey Md. Zia Uddin * ID , Weria Khaksar and Jim Torresen Department of Informatics, University of Oslo, 0316 Oslo, Norway; weriak@ifi.uio.no (W.K.); jimtoer@ifi.uio.no (J.T.) * Correspondence: mdzu@ifi.uio.no; Tel.: +47-22-85-44-09 Received: 9 May 2018; Accepted: 18 June 2018; Published: 25 June 2018 Abstract: Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. Technologies that assist the elderly in independent living are essential for enhancing care in a cost-effective and reliable manner. Elderly care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the elderly care system in the literature to identify current practices for future research directions. Therefore, this work is aimed at a comprehensive survey of non-wearable (i.e., ambient) sensors for various elderly care systems. This research work is an effort to obtain insight into different types of ambient-sensor-based elderly monitoring technologies in the home. With the aim of adopting these technologies, research works, and their outcomes are reported. Publications have been included in this survey if they reported mostly ambient sensor-based monitoring technologies that detect elderly events (e.g., activities of daily living and falls) with the aim of facilitating independent living. Mostly, different types of non-contact sensor technologies were identified, such as motion, pressure, video, object contact, and sound sensors. -
Indoor Localization Using Accidental Infrastructure
Delft University of Technology Master’s Thesis in Embedded Systems Indoor Localization using Accidental Infrastructure Zsolt Kocsi-Horvath´ Indoor Localization using Accidental Infrastructure Master’s Thesis in Embedded Systems Embedded Software Section Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology Mekelweg 4, 2628 CD Delft, The Netherlands Zsolt Kocsi-Horvath´ [email protected] 4th January 2013 Author Zsolt Kocsi-Horvath´ ([email protected]) Title Indoor Localization using Accidental Infrastructure MSc presentation 15. January 2013 Graduation Committee prof. dr. K. G. Langendoen (chair) Delft University of Technology dr. ir. A. Phillips ARM R&D, Cambridge ir. H. Vincent ARM R&D, Cambridge dr. S.O. Dulman Delft University of Technology dr. A. Iosup Delft University of Technology Abstract The level of the technological development of embedded devices is at a constant rise. We can foresee a near-future scenario where a huge number of semi-intelligent devices are part of our everyday environment, our homes, the public places and the office as well. The intelligent thermostat uploads the temperature readings to an on- line database; the fridge sends a tweet when we are out of milk; the coffee machine texts us when the coffee is ready. Each device has a unique and individual purpose. But what if they could be grouped together as a so-called accidental infrastructure to serve a more advanced cause? We have set out to demonstrate the possibilities of such an accidental infrastructure in the field of indoor localization. An ambient device in itself is not intentionally prepared for localization purposes, but using many of them together and combining the collected data can surpass the devices’ limited individual capabilities. -
Emerging Edge Computing Technologies for Distributed Iot Systems
ACCEPTED FROM OPEN CALL Emerging Edge Computing Technologies for Distributed IoT Systems Ali Alnoman, Shree Krishna Sharma, Waleed Ejaz and Alagan Anpalagan ABSTRACT This remarkable increase in the number of con- nected devices needs to be accompanied by an The ever-increasing growth of connected equivalent increase in resource provisioning to avoid smart devices and IoT verticals is leading to the any sort of service disruption. Although the existing crucial challenges of handling the massive amount cloud computing paradigm is highly capable of han- of raw data generated by distributed IoT systems dling the massive amount of data, it is not suitable and providing timely feedback to the end-users. for distributed IoT systems due to the potentially Although the existing cloud computing paradigm incurred delays [2]. For this reason, providing com- has an enormous amount of virtual computing puting, storage, and communication functionalities power and storage capacity, it might not be able at the network edge helps not only in reducing the to satisfy delay-sensitive applications since com- end-to-end delay, but also can alleviate the burdens puting tasks are usually processed at the distant on cloud-servers and backhaul links. Furthermore, cloud-servers. To this end, edge/fog computing due to the physical proximity of edge devices with has recently emerged as a new computing par- end-users, edge computing can support distributed adigm that helps to extend cloud functionalities IoT applications that require location awareness and to the network edge. Despite several benefits of higher Quality of Service (QoS) [2, 3]. edge computing including geo-distribution, mobil- In contrast to the conventional IoT architec- ity support and location awareness, various com- ture, where storage and computing operations munication and computing related challenges are mostly performed in the cloud-center, distrib- need to be addressed for future IoT systems. -
Emerging Edge Computing Technologies for Distributed Internet of Things (Iot) Systems
IEEE WIRELESS COMMUNICATIONS MAGAZINE (DRAFT) 1 Emerging Edge Computing Technologies for Distributed Internet of Things (IoT) Systems Ali Alnoman, Shree Krishna Sharma, Waleed Ejaz, and Alagan Anpalagan Abstract The ever-increasing growth in the number of connected smart devices and various Internet of Things (IoT) verticals is leading to a crucial challenge of handling massive amount of raw data generated from distributed IoT systems and providing real-time feedback to the end-users. Although existing cloud- computing paradigm has an enormous amount of virtual computing power and storage capacity, it is not suitable for latency-sensitive applications and distributed systems due to the involved latency and its centralized mode of operation. To this end, edge/fog computing has recently emerged as the next generation of computing systems for extending cloud-computing functions to the edges of the network. Despite several benefits of edge computing such as geo-distribution, mobility support and location awareness, various communication and computing related challenges need to be addressed in realizing edge computing technologies for future IoT systems. In this regard, this paper provides a holistic view on the current issues and effective solutions by classifying the emerging technologies in regard to the joint coordination of radio and computing resources, system optimization and intelligent resource management. Furthermore, an optimization framework for edge-IoT systems is proposed to enhance various performance metrics such as throughput, delay, resource utilization and energy consumption. Finally, a Machine Learning (ML) based case study is presented along with some numerical results to illustrate the significance of edge computing. arXiv:1811.11268v1 [cs.NI] 26 Oct 2018 I.