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Surie, Dipak
Publications (10 of 23) Show all publications
Surie, D., Partonia, S. & Lindgren, H. (2013). Human Sensing using Computer Vision for Personalized Smart Spaces. In: 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC) Ubiquitous Intelligence and Computing: . Paper presented at IEEE 10th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 10th International Conference on Autonomic and Trusted Computing (ATC), Sorrento Peninsula, ITALY, DEC 18-21, 2013 (pp. 487-494).
Open this publication in new window or tab >>Human Sensing using Computer Vision for Personalized Smart Spaces
2013 (English)In: 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC) Ubiquitous Intelligence and Computing, 2013, p. 487-494Conference paper, Published paper (Refereed)
Abstract [en]

Smart spaces are everyday environments augmented with computing technologies that enhance human experience and activity performance. Continuous recognition of the presence of people, their identity, location, movement and activity patterns in real-time is a key challenge to address if smart spaces are to be envisioned as personalized and adaptive spaces. This paper introduces the multiple technologies available for human sensing and identification, discussing their advantages and disadvantages. In particular, Kitchen As-A-Pal is described as a smart space with real-time human sensing capabilities using computer vision by fusing fisher face recognition and skeletal tracking approaches. A wall-mounted Kinect is used for both single occupant and multi-occupant settings in kitchen As-A-Pal. The fused approach gives human identity recognition accuracy of 91.75% precision and 66% recall values for single occupant setting with good smart space coverage. Challenges do exist for human identity recognition in multi-occupant settings.

Keywords
human sensing, human identity recognition, computer vision, smart spaces, ubiquitous computing
National Category
Interaction Technologies
Identifiers
urn:nbn:se:umu:diva-87134 (URN)10.1109/UIC-ATC.2013.24 (DOI)000346129800065 ()
Conference
IEEE 10th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 10th International Conference on Autonomic and Trusted Computing (ATC), Sorrento Peninsula, ITALY, DEC 18-21, 2013
Available from: 2014-03-22 Created: 2014-03-22 Last updated: 2018-06-08Bibliographically approved
Surie, D., Lindgren, H. & Qureshi, A. (2013). Kitchen AS-A-PAL: Exploring Smart Objects as Containers, Surfaces and Actuators. In: Berlo, Ad; Hallenborg, Kasper; Rodríguez, Juan M. Corchado; Tapia, Dante I.; Novais, Paulo (Ed.), Ad van Berlo, Kasper Hallenborg, Juan M. Corchado Rodríguez, Dante I. Tapia, Paulo Novais (Ed.), Ambient Intelligence - Software and Applications: 4th International Symposium on Ambient Intelligence (ISAmI 2013). Paper presented at 4th International Symposium on Ambient Intelligence, ISAmI 2013, 22 May 2013 through 24 May 2013, Salamanca (pp. 171-178). Springer Publishing Company, 219
Open this publication in new window or tab >>Kitchen AS-A-PAL: Exploring Smart Objects as Containers, Surfaces and Actuators
2013 (English)In: Ambient Intelligence - Software and Applications: 4th International Symposium on Ambient Intelligence (ISAmI 2013) / [ed] Ad van Berlo, Kasper Hallenborg, Juan M. Corchado Rodríguez, Dante I. Tapia, Paulo Novais, Springer Publishing Company, 2013, Vol. 219, p. 171-178Conference paper, Published paper (Refereed)
Abstract [en]

Technological advancements have taken us closer to the "kitchen of the future" where everyday kitchen activities are seamlessly integrated with smart computing services. While there exist smart kitchen approaches, the explorative nature of the field encourages novel designs. This paper follows the trend by describing the design and development of the Kitchen AS-A-PAL, an infrastructure for facilitating smart kitchen services. Smart objects are the building blocks of Kitchen AS-A-PAL where three types of smart objects namely Containers, Surfaces and Actuators are explored through smart kitchen applications including interactive cookbook, health'n shopping and kaffe, god morgon.

Place, publisher, year, edition, pages
Springer Publishing Company, 2013
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 219
Keywords
Building blockes, Design and Development, Novel design, Smart computing, Smart objects, Technological advancement
National Category
Computer Sciences
Research subject
människa-datorinteraktion
Identifiers
urn:nbn:se:umu:diva-79516 (URN)10.1007/978-3-319-00566-9_22 (DOI)978-3-319-00565-2 (ISBN)978-3-319-00566-9 (ISBN)
Conference
4th International Symposium on Ambient Intelligence, ISAmI 2013, 22 May 2013 through 24 May 2013, Salamanca
Available from: 2013-08-21 Created: 2013-08-21 Last updated: 2018-06-08Bibliographically approved
Surie, D., Berker, B. & Lindgren, H. (2013). Proxemics Awareness in Kitchen AS-A-PAL: Tracking Objects and Human in Perspective. In: Intelligent Environments (IE), 2013 9th International Conference on: . Paper presented at 9th International Conference on Intelligent Environments, IE 2013, 18 July 2013 through 19 July 2013, Athens (pp. 157-164).
Open this publication in new window or tab >>Proxemics Awareness in Kitchen AS-A-PAL: Tracking Objects and Human in Perspective
2013 (English)In: Intelligent Environments (IE), 2013 9th International Conference on, 2013, p. 157-164Conference paper, Published paper (Refereed)
Abstract [en]

Spatial relationships or proxemics play an important role in how humans interact with other people and objects in an environment, yet spatial relationships are not thoroughly exploited within smart environments. Objects designed to be aware of its proxemics facilitate implicit and explicit interaction with humans. Kitchen As-A-Pal is an interactive smart kitchen that provides an infrastructure for sensing and modeling proxemics among objects and human using a sonar network and RFID technology. Position, movement, identity and location are the proxemics dimensions explored in kitchen As-A-Pal. A pilot study of a breakfast scenario comprising of 9 everyday activities in Kitchen As-A-Pal using 2 subjects yielded promising proximity tracking results with a precision of 100% and a recall of 68.3% for spatial zones with high and medium average time percentages (ATP). Also, 53.21% ATP has more than 95% recall values.

Keywords
Proxemics awareness, proximity tracking, smart environments, smart objects, spatial modeling
National Category
Computer Sciences
Research subject
människa-datorinteraktion
Identifiers
urn:nbn:se:umu:diva-79517 (URN)10.1109/IE.2013.43 (DOI)000332557600023 ()978-0-7695-5038-1 (ISBN)
Conference
9th International Conference on Intelligent Environments, IE 2013, 18 July 2013 through 19 July 2013, Athens
Available from: 2013-08-21 Created: 2013-08-21 Last updated: 2018-06-08Bibliographically approved
Surie, D., Pederson, T. & Janlert, L.-E. (2012). A Smart Home Experience using Egocentric Interaction Design Principles. In: 15TH IEEE International Conference On Computational Science And Engineering (CSE 2012) / 10TH IEEE/IFIP International Conference On Embedded And Ubiquitous Computing (EUC 2012): . Paper presented at 15th IEEE International Conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC), DEC 05-07, 2012, Paphos, CYPRUS (pp. 656-665).
Open this publication in new window or tab >>A Smart Home Experience using Egocentric Interaction Design Principles
2012 (English)In: 15TH IEEE International Conference On Computational Science And Engineering (CSE 2012) / 10TH IEEE/IFIP International Conference On Embedded And Ubiquitous Computing (EUC 2012), 2012, p. 656-665Conference paper, Published paper (Refereed)
Abstract [en]

The landscape of ubiquitous computing comprising of numerous interconnected computing devices seamlessly integrated within everyday environments introduces a need to do research beyond human-computer interaction: in particular incorporate human-environment interaction. While the technological advancements have driven the field of ubiquitous computing, the ultimate focus should center on human agents and their experience in interacting with ubiquitous computing systems offering smart services. This paper describes egocentric interaction as a human body-centered interaction paradigm for framing human-environment interaction using proximity and human perception. A smart home environment capable of supporting physical-virtual activities and designed according to egocentric interaction principles is used for exploring the human experience it offers, yielding positive results as a proof of concept.

Series
IEEE International Conference on Computational Science and Engineering, ISSN 1949-0828
Keywords
Egocentric Interaction, Ubiquitous Computing, Human-Computer Interaction, Context-Aware Computing, Smart Home and Human Experience
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:umu:diva-71337 (URN)10.1109/ICCSE.2012.94 (DOI)000317475000088 ()978-1-4673-5165-2 (ISBN)
Conference
15th IEEE International Conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC), DEC 05-07, 2012, Paphos, CYPRUS
Available from: 2013-05-27 Created: 2013-05-26 Last updated: 2018-06-08Bibliographically approved
Surie, D., Janlert, L.-E., Pederson, T. & Roy, D. (2012). Egocentric interaction as a tool for designing ambient ecologies: the case of the easy ADL ecology. Pervasive and Mobile Computing, 8(4), 597-613
Open this publication in new window or tab >>Egocentric interaction as a tool for designing ambient ecologies: the case of the easy ADL ecology
2012 (English)In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 8, no 4, p. 597-613Article in journal (Refereed) Published
Abstract [en]

The visions of ambient intelligence demand novel interaction paradigms that enable designers and system developers to frame and manage the dynamic and complex interaction between humans and environments populated with physical (real) and virtual (digital) objects of interest. So far, many proposed approaches have adhered to a device-centric stance when including virtual objects into the ambient ecology; a stance inherited from existing interaction paradigms for mobile and stationary interactive devices. In this article, we introduce egocentric interaction as an alternative approach, taking the human agent's body and mind as the center of reference. We show how this interaction paradigm has influenced both the conception and implementation of the easy ADL ecology, comprising of smart objects, a personal activity-centric middleware attempting to simplify interaction given available resources, ambient intelligence applications aimed at everyday activity support, and a human agent literally in the middle of it all.

Place, publisher, year, edition, pages
Elsevier, 2012
Keywords
Egocentric interaction, ambient intelligence, smart objects, ambient ecology, ubiquitous computing, human-computer interaction, context-aware computing, mixed-reality
National Category
Interaction Technologies Computer Sciences Human Computer Interaction
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-52467 (URN)10.1016/j.pmcj.2011.12.004 (DOI)000306646200008 ()
Available from: 2012-02-22 Created: 2012-02-22 Last updated: 2018-06-08Bibliographically approved
Surie, D. (2012). Egocentric interaction for ambient intelligence. (Doctoral dissertation). Umeå: Institutionen för datavetenskap, Umeå universitet
Open this publication in new window or tab >>Egocentric interaction for ambient intelligence
2012 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Ambient intelligence refers to the vision of computationally augmented everyday environments that are sensitive, adaptive and responsive to humans and intelligently support their daily lives. Ambient ecologies are the infrastructures of ambient intelligence. To enable system developers to frame and manage the dynamic and complex interaction of humans with ambient ecologies consisting of a mixture of physical (real) and virtual (digital) objects, novel interaction paradigms are needed.

Traditional interaction paradigms like the WIMP (windows, icon, menus, and pointing devices) paradigm for desktop computing operate in a closed world, unaware of the physical, social and cultural context. They restrict human perception and action to screen, mouse and keyboard with the assumption that human attention will be fully devoted to interaction with the computer. Emerging interaction paradigms for ambient intelligence are typically centered on specific devices, specific computing environments or specific human capabilities. Also, many of them are driven by technological advancements rather than viewing the human agent as their starting point. A principled, theoretical approach centered in the individual human agent, their situation and activities that are comprehensive and integrated while at the same time instrumental in the design of ambient ecologies has been lacking.

This thesis introduces egocentric interaction as an approach towards the modeling of ambient ecologies with the distinguishing feature of taking the human agent’s body, situation and activities as center of reference, as opposed to the more common device-centric approaches in facilitating human-environment interaction. Egocentric interaction is encapsulated in a number of assumptions and principles such as situatedness, the proximity principle, the physical-virtual equity principle, perception and action instead of “input” and “output,” and activity-centeredness. A situative space model is proposed based on some of these principles. It is intended to capture what a specific human agent can perceive and not perceive, reach and not reach at any given moment in time. The situative space model is for the egocentric interaction paradigm what the virtual desktop is for the WIMP interaction paradigm: more or less everything of interest to a specific human agent is assumed and supposed to happen here.

In addition, the conception and implementation of the easy ADL ecology based on egocentric interaction, comprising of smart objects, a personal activity-centric middleware, ambient intelligence applications aimed at everyday activity support, and a human agent literally in the middle of it all is described. The middleware was developed to address important challenges in ambient intelligence: (1) tracking and managing smart objects; (2) tracking a human agent’s situative spaces; (3) recognizing human activities and actions; (4) managing and facilitating human-environment interaction; and (5) to ease up the development of ambient intelligence applications.

The easy ADL ecology was first simulated in immersive virtual reality, and then set up physically as a living laboratory to evaluate: (1) the technological and technical performance of individual middleware components, (2) to perform a user experience evaluation assessing various aspects of user satisfaction in relation to the support offered by the easy ADL ecology, and (3) to use it as a research test bed for addressing challenges in ambient intelligence. While it is problematic to directly compare the “proof-of-concept” easy ADL ecology with related research efforts, it is clear from the user experience evaluation that the subjects were positive with the services it offered. 

Place, publisher, year, edition, pages
Umeå: Institutionen för datavetenskap, Umeå universitet, 2012
Series
Report / UMINF, ISSN 0348-0542 ; 12.01
Keywords
Ambient Intelligence, Human-Computer Interaction, Context-Aware computing, Ubiquitous Computing, Mixed-Reality, Smart Environments, Activity-Based Computing, Ambient Ecology
National Category
Human Computer Interaction
Research subject
business data processing
Identifiers
urn:nbn:se:umu:diva-50822 (URN)978-91-7459-352-5 (ISBN)
Public defence
2012-01-19, MIT-Huset, MA 121, Umeå Universitet, Umeå, 13:15 (English)
Opponent
Supervisors
Projects
easy ADL project
Available from: 2011-12-23 Created: 2011-12-23 Last updated: 2018-06-08Bibliographically approved
Surie, D., Pederson, T. & Janlert, L.-E. (2012). Human cognition as a foundation for the emerging egocentric interaction paradigm. In: Human-Computer Interaction: The Agency Perspective: (pp. 349-374). Berlin/Heidelberg: Springer Berlin/Heidelberg
Open this publication in new window or tab >>Human cognition as a foundation for the emerging egocentric interaction paradigm
2012 (English)In: Human-Computer Interaction: The Agency Perspective, Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012, p. 349-374Chapter in book (Refereed)
Abstract [en]

This chapter presents an “egocentric interaction paradigm” (EIP) centered on human agents rather than on the notion of user. More specifically, this paradigm is based on perception, action, intention and attention capabilities and limitations of human agents. Traditional and emerging interaction paradigms are typically related to a specific computing environment, devices or human capabilities. The novelty of the proposed approach stems from aiming at developing a comprehensive and integrated theoretical approach, centered on individual human agent. Development in Human-Computer Interaction (HCI) has been closely related to the understanding and utilization of natural human skills and abilities. This work attempts to understand and model a human agent, and in particular their cognitive capabilities in facilitating HCI. The EIP is based on principles like situatedness and embodiment, the physical-virtual equity principle, and the proximity principle. A situative space model built upon our understanding of human cognition is described in detail, followed by our experience in exploring the egocentric interaction paradigm in the easy ADL home.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012
Series
Studies in Computational Intelligence ; 396
Keywords
Egocentric interaction, human-computer interaction, cognitive science, situation awareness
National Category
Human Computer Interaction Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-52475 (URN)10.1007/978-3-642-25691-2_15 (DOI)000309482200016 ()978-3-642-25690-5 (ISBN)
Available from: 2012-02-22 Created: 2012-02-22 Last updated: 2018-06-08Bibliographically approved
Nieves, J. C., Surie, D. & Lindgren, H. (2012). Modeling Actions Based on a Situative Space Model for Recognizing Human Activities. In: Artificial Intelligence: Methodology, Systems, and Applications. Paper presented at Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2012) (pp. 266-275). Springer
Open this publication in new window or tab >>Modeling Actions Based on a Situative Space Model for Recognizing Human Activities
2012 (English)In: Artificial Intelligence: Methodology, Systems, and Applications, Springer, 2012, p. 266-275Conference paper, Published paper (Refereed)
Abstract [en]

Human activities usually have a motive and are driven bygoal directed sequence of actions. Recognizing and supporting humanactivities is an important challenge for ambient assisted living of elderlyin their home environment. By understanding an activity as a sequence ofactions, we explore action specification languages for recognizing humanactivities. In this setting, we analyze the role of the situative space modelfor modeling indoor human activities in terms of an action specificationlanguage.

Place, publisher, year, edition, pages
Springer, 2012
Series
LNCS ; 7557
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-66499 (URN)
Conference
Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2012)
Available from: 2013-02-21 Created: 2013-02-21 Last updated: 2018-06-08Bibliographically approved
Baskar, J., Lindgren, H., Surie, D., Yan, C. & Yekeh, F. (2012). Personalisation and user models for support in daily living. In: Lars Karlsson, Julien Bidot (Ed.), The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012: . Paper presented at The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS) 2012 (pp. 7-16).
Open this publication in new window or tab >>Personalisation and user models for support in daily living
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2012 (English)In: The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012 / [ed] Lars Karlsson, Julien Bidot, 2012, p. 7-16Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, the interest in developing personalised applications for home environment has grown since it has a wide reach in helping people in their daily activities. However, for our purposes the concept activities of daily living also need to include work and leisure activities not necessarily performed in home environments. In this article, we describe an ongoing effort to develop a generic framework for assessing ability and tailoring of support applications in the health domain. We also give an overview of the approaches that have been adopted for personalisation and user modelling to various application areas. Suggestions of future development are provided.

Keywords
Personalisation, User modelling, User models, Clinical decision-support systems, Multi-agent systems, Ambient intelligence, Human computer interaction, Adaptive hypermedia system, E-learning, Adaptive education systems, Machine learning, Intelligent tutoring systems
National Category
Computer and Information Sciences
Research subject
computer and systems sciences
Identifiers
urn:nbn:se:umu:diva-66560 (URN)
External cooperation:
Conference
The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS) 2012
Available from: 2013-02-23 Created: 2013-02-23 Last updated: 2018-06-08Bibliographically approved
Pederson, T., Janlert, L.-E. & Surie, D. (2011). A situative space model for mobile mixed-reality computing. IEEE pervasive computing, 10(4), 73-83
Open this publication in new window or tab >>A situative space model for mobile mixed-reality computing
2011 (English)In: IEEE pervasive computing, ISSN 1536-1268, E-ISSN 1558-2590, Vol. 10, no 4, p. 73-83Article in journal (Refereed) Published
Abstract [en]

This article proposes a situative space model that links the physical and virtual realms and sets the stage for complex human-computer interaction defined by what a human agent can see, hear, and touch, at any given point in time.

Place, publisher, year, edition, pages
New York, NY: IEEE Computer Society, 2011
Keywords
Mobile computing, Virtual reality, Human computer interaction, Application software, Distributed computing, Communication standards, situation awareness, human-computer interaction, ubiquitous computing, mixed-reality computing
National Category
Computer Sciences Human Computer Interaction Interaction Technologies
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-49245 (URN)10.1109/MPRV.2010.51 (DOI)000295792300011 ()
Available from: 2011-11-11 Created: 2011-11-04 Last updated: 2018-06-08Bibliographically approved
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