Margie Morris, Intel: Needs of Alzheimer's Patients and Families
Intel has funded a proactive health research program as part of their long-term research strategy. A distributed network of researchers is studying technologies that will enable consumers to be proactive about their health and wellness. The specific population we are focusing on is the aging baby boomers and the first year of the study is focused on technologies that will assist individuals experiencing cognitive changes, from normal aging and mild cognitive impairment to dementia. Pilot interviews have been conducted with nine dementia patients and their caregivers in the Portland area. I will present emerging themes from this preliminary fieldwork, plans for next phases of inquiry, and technology focus areas.
Hélène Pigot, Sherbrooke: The Smart House for Frail and Cognitive Impaired Elders
A smart house for frail and cognitive impaired elders is aimed to assist those who encounter difficulties in performing their activities of daily living. Some cues are providing by the physical environment to help the older person performing the failed activities due to memory, planification or attention deficits. I will present the three layers of the system. The lower layer manages the interaction within the habitat and takes into account the data provided by the sensors and electric household appliances.The distributed architecture constitutes the second layer which realizes the interactions between all the agents of the system from the lower to the higher level. The third layer controls the services of telemonitoring, assistance to the daily activities and interaction with the external world.
Don Patterson, UW: The Activity Compass
The vision of the Activity Compass is to construct a small hand-held computer system which will assist Alzheimer sufferers with carrying out their daily routine. Its primary user interface is an arrow directing the user to a location which is indicated by an icon. The destination is determined by using artificial intelligence technology. In this talk I will review current research which is centered on the interpretation of sensor readings using Dynamic Bayes Nets.
David Braddock, U Colorado: Cognitive Disability, Technology, & the Coleman Institute
The presentation will address four principal foci:1) An assessment of the emergence of cognitive disability specifically and disability generally, as a worldwide social movement; 2) An overview of the curent demography and epidemiology of cognitive disabiity in the United States and of some critically important emerging population dynamics in other developed and developing nations of the world; 3) The potential role of emerging computer-based technologies to promote the independence and quality of life of cognitively disabled persons; and, 4) An overview of the activities of the Coleman Institute for Cognitive Disabilities at the University of Colorado.
Holly Jimison, CHR: Real-Time Usability Testing of Assistive Devices in the Home
Internet-enabled assistive technologies offer a tremendous opportunity for supporting healthy aging at home. Examples include remote monitoring for medication compliance, in-home vital signs and activity monitoring to detect threshold changes indicating crisis, remote assistance with home environmental control technology, and social support. However, it has proven very difficult to develop technological innovations for the elder population that are sufficiently compelling and easy to use. Most of the design challenges are not technical, but rather issues of usability. Our project on creating home-based technology for successful aging in place is focused on participatory user-centered design. Since it is difficult to engage frail elders in such engineering practice, we are currently using a model of development by proxy, in which we engage younger people with physical and cognitive disabilities in the participatory design process. We have developed a method for obtaining usability feedback during real-time use of assitive technology in the home. System users with disabilities interact with PC-controlled sensors and appliances with a speech recognition interface. Periodically, our system prompts the user for feedback on several aspects of system use. We are able to determine if the system-inferred user goals were correct and if the intended task was accomplished easily. On a daily basis we ask for feedback on how to improve the system. Our data is recorded through audio files and later analyzed and used as input into the iterative design process. Benefits to this approach include being able to test a system in a realistic setting with real tasks, providing rapid feedback to the designers.
Sumi Helal and William Mann, U Florida: mPCA, A Mobile Patient Care-Giving Assistant for Alzheimer Patients
The use of pervasive computing elements such as java smart phones and multi-modal sensors in smart homes of the future can potentially assist patients with Moderate Alzheimer's Disease (AD). The utility of this technology particularly in the elderly group of patients is currently hoped to reduce the huge economic toll on the ailing Medicaid system. We present an ongoing research project whose goal is to create a cognitive assistant to improve the independence of home-bound AD patients. We present the architecture of the Mobile Patient Care-Giving Assistant (mPCA), which integrates local-positioning systems, J2ME-based smart phones as well as other wireless and visual sensors. The mPCA system is targeted towards AD patients in their early to moderate stages of the disease (Global Deterioration Scale, or GDS = 4 or 5).
Tim Adlam, BIME: The Gloucester Smart House
This paper will describe the Gloucester Smart House for people with dementia. The Gloucester Smart House is being developed by a consortium of three organisations: Dementia Voice - the dementia services centre for the South West of England, Housing 21 - a major UK housing association and the Bath Institute of Medical Engineering - a charity designing and developing for disability and healthcare.
People with dementia often find moving to a residential home a very disorienting and distressing experience. Following a survey of people with dementia and their carers in 1999, the Gloucester Smart House consortium is developing devices to support people with dementia in their own homes with the aim of increasing the time that people are able to live independently in their own homes. The devices such as a locator for lost posessions and bath and cooker monitors are designed to be usable by people with dementia and their carers. This paper describes the smart house project aims, and gives examples of the dementia appropriate devices being developed.
Misha Pavel, OGI: Augmented Cognition for Attention Allocation
Many mishaps and accidents attributed to human errors can be traced to a variety of operators' cognitive limitations. The effects of the cognitive limitations are especially significant when the operators are fatigued, under stress, increased workload, or elderly. We anticipate that ubiquitous computing and intelligent devices can be deployed to alleviate some of these limitations. In this talk, we describe a novel approach to the design of future ubiquitous systems and devices that would augment human cognitive abilities. In this presentation we will first compare our approach to the traditional design of human-computer interfaces that has been focused on specific tasks such as editing, searching, etc. In contrast, the augmented cognition approach is based on the characterization of human cognitive limitations in terms of quantitative models of the cognitive bottlenecks and limitations. These quantitative models are then used to design devices and interfaces that have the potential to amplify human cognitive abilities by, identifying the critical variables, by specifying specific objective functions and normative performance, and by quantifying the deviation between the human and normative performance. This approach will be illustrated on a specific example involving attention allocation where the model for optimal attention allocation is a combination of the ideal observer model with a theory for optimal resource allocation. In addition, the particular approach is based on the fact that during a typical search task execution, the operator is not completely aware of the history of his attention allocation and frequently adopts sub- optimal strategies. In addition, the operator may not even be aware of his sub-optimal strategies until his performance deteriorates and he makes errors. By monitoring his eye movements, we estimate his instantaneous attention state and his attention allocation history, and then using the optimal resource allocation model, we provide him with perceptual cues that can improve his attention allocation processes.
Florian Michahelles, Zurich: Better Rescue through Sensors
This paper investigates how wearable sensing technology can be applied to alpine avalanche rescue. Sensors worn by mountaineers reveal information about vital functions of the victims in an emergency case. In particular the rescue of multiple victims might benefit enormously from the use of wearable sensors. As time is the most critical issue in rescue, we believe that based on those sensor information rescuers obtain the necessary information in order to focus on victims which are still alive rather than to waste valuable time to dig out victims which are already dead.
Bart Peintner, Michigan: Autominder
The world's population is aging. Today, approximately 10% of people alive are over the age of 65, and slightly more than 1% are over 80. By 2050, those numbers will increase to 21.4% and 4%, respectively. Older adults may face a range of challenges: physical, social, emotional, and cognitive. We are focusing on the last of these by designing intelligent cognitive orthotic systems -- systems intended to assist people who have suffered cognitive decline, especially loss of memory. We present our current system, Autominder, which provides reminders to an older person about his or her activities of daily living (ADLs). Some reminder systems function in a manner similar to alarm clocks, issuing fixed reminders at pre-specified times. In contrast, we construct rich models of the client’s activities, including constraints on the times and ways in which they should be performed; monitor the execution of those activities; detect discrepancies between what the client is expected to do and what he or she actually is doing; and reason about whether and when to issue reminders. Autominder is currently being deployed on Pearl, an autonomous robot designed and built by researchers at Carnegie Mellon University. However, we feel Autominder will work on other platforms, in other settings, and with different populations. Thus, we are exploring different ways of interacting with the client and sensing his or her environment.
David Braddock <David.Braddock@cu.edu>
David Braddock is Associate Vice President for Research of the University of Colorado (CU) System, Executive Director of the Coleman Institute for Cognitive Disabilities and holds the Coleman-Turner Chair in Cognitive Disability in the Department of Psychiatry at the CU Health Sciences Center.The Coleman Institute was created in 2001 from a major gift to CU from Bill and Claudia Coleman. The Institute's mission is to catalyze and integrate advances in science, engineering, and technology to promote the quality of life and independent living of people with cognitive disabilities. The Institute, a component of the University of Colorado System, supports research and public service collaboration involving faculty of the four-campus CU System in Boulder, Colorado Springs, and Denver.
Dr. Braddock is recognized for his contributions to the fields of cognitive disability research, public health and social policy. He received B.A. and M.A. degrees in Government and a Ph.D. in Special Education from the University of Texas at Austin, and completed additional graduate work in the Graduate School of Business at the same institution. Braddock previously served at the University of Illinois at Chicago (UIC) from 1979-2001 as Professor of Human Development and Public Health, as the founding head of the Department of Disability and Human Development and of its research institute, as an associate dean, and in various other research and administrative positions. He was instrumental in the establishment of the nation's first Ph.D. program in disability studies at UIC. Prior to UIC, he held positions with the Council for Exceptional Children, the Secretary's Committee on Mental Retardation in the U.S. Department of Health, Education and Welfare, and with state mental health and developmental disabilities agencies in Texas, Missouri and Illinois.
Professor Braddock has over 200 publications and monographs in four general areas: 1) the comparative study of the demography and financing of services to people with developmental disabilities in the 50 states; 2) long term care; 3) health promotion and disease prevention; and, 3) public policy toward people with disabilities in the United States. He has testified in congressional hearings on numerous occasions and in the legislatures of 12 states. He has received international career research awards from the Association for Retarded Citizens of the United States (1987), the American Association on Mental Retardation (1998), and the University Scholar Award from the President of the University of Illinois (1998). Braddock is a former president of the American Association on Mental Retardation (1993-94), a recipient of the ARC-United States Franklin Smith Award for Distinguished National Service to the Field of Mental Retardation (2000), and was recently appointed to the Board of Directors of the International Special Olympics.
Abdelsalam Helal <helal@cise.ufl.edu>
Sumi Helal is an Associate Professor at the Computer and Information Science and Engineering Department (CISE) at the University of Florida. His research interests span the areas of Pervasive and Mobile Computing and networking, Web Services, Database Systems, and Internet Computing. He is Director of the Harris Mobile Computing laboratory and Directory of Technology Developments of the RERC Center on Technology for Successful Aging. He is currently the Chair of the IEEE Technical Committee on the Internet (TCI). He published over 90 articles and papers, and co-authored four books, all in the areas of database systems, distributed systems, mobile computing, and workflow. Prior to joining the University of Florida, he held academic and industrial research positions at MCC, Purdue, and the University of Texas at Arlington. He received his B.Sc. and M. Sc. degrees in Computer Science and Automatic Control from Alexandria University, Egypt, in 1982 and 1985 respectively, and his Ph.D. in Computer Sciences from Purdue University in 1991.
William Mann <WMann@hp.ufl.edu>
William Mann, OTR, Ph.D. is Professor and Chair of Occupational Therapy and Director of the Ph.D. Program in Rehabilitation Science at the University of Florida, and Research Health Scientist at the Gainesville VA Rehabilitation Outcomes Research Center. Dr Mann has served as the Principal Investigator for the Rehabilitation Engineering Research Center (RERC) on Aging since 1991, funded by the National Institute on Disability and Rehabilitation Research, recently (October, 2001) refunded at $4.5 million for a 5-year cycle. Dr. Mann completed a 10-year longitudinal study of home based frail elders use of, and need for, assistive devices, which included a strong focus on mobility devices. Dr. Mann has authored more than 70 articles and book chapters on assistive technology and aging in the past 10 years, co-authored a textbook on assistive technology, and served as co-editor of the journal Technology and Disability from 1990 to 2000. Dr. Mann has over 25 years of experience in rehabilitation and community- based programs. His work over the past 15 years has focused on applications of technology for persons with disabilities, including many externally funded research, service and training projects.
Miryung Kim <miryung@cs.washington.edu>
Miryung Kim is a first year graduate student in Ph.D program in Department of Computer Science and Engineering at the University of Washington. Her research interests are Ubiquitous computing and Software engineering. She has been collaborating with Dr. Larry Arnstein on the Labscape project (Ubiquitous computing application for biology laboratory). She is currently working on the Planlet project which is the software layer supporting proactive ubiquitous applications. She recieved her B.E. degree in Computer Science and Electrical Engineering from the Korea Advanced Institute of Science and Technology.
Hélène Pigot <pigot@DMI.USherb.CA>
Hélène Pigot is assistant professor in computer science at the University of Sherbrooke, Canada. She was formerly assistant professor in occupational therapy at the University of Montreal, Canada. She has a Ph.D. in computer science from the University of Paris 6, France. She has also a Bacc. in occupational therapy from the University of Montreal, Canada. With respect to computer science, she has expertise in speech recognition and machine learning. With respect to occupational therapy, she is interested in psychogeriatry and especially in the Alzheimer disease. As an occupational therapist researcher, she worked on activities of daily living specially meal preparations, driving evaluation and wayfinding. She analysed the behavior in wayfinding of Alzheimer persons in elder lodging and conceived a labyrinth to analyse wayfinding in a closed environment. Her work and experience in psychogeriatry and Alzheimer disease forms the basis of her contribution to the smart house project http://www.dmi.usherb.ca/~pigot
Don Patterson <djp3@cs.washington.edu>
Don Patterson is a Ph.D. candidate at the University of Washington in Seattle, WA, USA. His research focuses on developing artificial intelligence techniques in the context of biology and medicine. His current project and the subject of his thesis, is the Activity Compass, a device for helping Alzheimer's patients retain independence in the community. The primary goal of the Activity Compass is to infer destinations and offer assistance in reaching with as little user interaction as possible. He is advised by Henry Kautz.
Bart Peintner <bpeintne@umich.edu>
Bart Peintner is a Ph.D. candidate in Computer Science and Engineering at the University of Michigan. He is a member of Martha Pollack’s Plan Management group, which focuses on the design of representations, algorithms, and architectures for planning and managing plans in dynamic, uncertain environments. His research involves developing probabilistic temporal reasoning methods suitable for monitoring the execution of plans. The current implementation of his work is a component of Autominder, a system that manages an individual’s daily plan, monitors the execution of the plan and provides intelligent reminders to the individual. Bart received an M.S. in Computer Science and Engineering at the University of Michigan and a B.S. in Electrical Engineering at Kansas State University.
Misha Pavel <pavel@ece.ogi.edu>
Dr. Pavel is a Professor and an Interim Department Head in the Department of Biomedical Engineering with a joint appointment in the Departments of Electrical and Computer Engineering and Computer Science and Engineering at OGI School of Science and Engineering at the Oregon Health Sciences University. His areas of research are at the intersection of engineering, biomedical signal processing, neuroscience, and cognitive science. Combining computational neuroscience and cognitive science, Dr. Pavel is spearheading the development of techniques for new approaches to augmented cognition and information fusion. In the domain of augmented cognition Dr. Pavel is developing principled approaches to amplify human cognitive abilities that would enable operators to improve the quality and speed of their decision-making under uncertainty. His current interests include application of these new techniques to the practical problems associated with the improvement in quality of life for the elderly. His work in the engineering domains includes the development of algorithms for data fusion, intelligent signal processing, image fusion, pattern recognition, and speech processing. In close collaboration with NASA Ames Research Center and several industrial organizations, Dr. Pavel and his students have been developing new algorithms for image enhancement, registration and fusion, with emphasis on integration data from different sensors including millimeter wave radar, infrared imaging sensor, and low-light television camera. Information fusion is also at the heart of his efforts to develop robust pattern recognition techniques. His work in the area of perception and gaze control is focused quantitative modeling of the processes underlying eye movements, and in particular, the relationship between eye movements and attention. As a member of the Center for Human and Computer Communication he participates in research and development of state of the art multimodal and perceptual user interfaces. His work on multimodal interfaces is based on his expertise in speech and image processing, pattern recognition, and cognitive science. During his leave of absence from OGI from1997 to 1999, Dr. Pavel was a Technology Leader in AT&T Laboratories in Menlo Park where he was working on several projects involving novel networked applications including wireless access to Internet, mobile devices, and biometric authentication. Prior to joining Oregon Graduate Institute in 1993, during his tenure as Associate Professor at New York University and earlier as an Assistant Professor at Stanford University, Dr. Pavel taught and conducted research in applications of cognitive psychology to the design of computer systems and interfaces. Prior to his academic career, Dr. Pavel was a member of the Technical Staff at Bell Laboratories, where his research included network analysis and modeling. Dr. Pavel is the author of more than 50 technical and scientific papers. He received his Ph.D. in Experimental Psychology from New York University; M.S. in Electrical Engineering from Stanford University, and B.S. in Electrical Engineering from Polytechnic Institute of Brooklyn.
Holly Jimison <holly.jimison@kpchr.org>
Holly Jimison, PhD, is a medical informatics investigator at the Center for Health Research (CHR). Her research is focused on web-based interventions for health management for patients in the home, with an emphasis on formative evaluations to inform the design of technology to assist in home-based care. She received her Ph.D. in Medical Information Sciences at Stanford University, with dissertation work on using computer decision models to tailor patient education materials to individuals. As a faculty member at Oregon Health Sciences University (OHSU) from 1992-1998, she served as Director of the Informed Patient Decisions Group, conducting research on methods to enable patients to be active and informed participants in their medical care decisions. These topics included patient decision making and risk communication. She currently serves as President of the Oregon Chapter of Health Information Management Systems Society. She is also a part-time member of the faculty in Medical Informatics at Oregon Health Sciences University.
Tim Adlam <t.d.adlam@bath.ac.uk>
Tim Adlam, Bath Institute of Medical Engineering
Tim Adlam is mechanical engineer working in the field of rehabilitation engineering for the Bath Institute of Medical Engineering (BIME), part of the University of Bath. Following two years managing capital projects for a bridge girder manufacturer, he completed a masters degree in biomedical engineering at the University of Surrey and joined BIME in 1996. At BIME Tim has designed bicycles and tools for daily living tasks, supervised undergraduate engineering design projects and advised housing providers on the installation of smart house systems.
Tim has been part of the Gloucester Smart House team since its inception in 1999, designing systems with intuitive interfaces to support people with dementia in their own homes. He is also interested in reliable means of communicating information from such systems to people with dementia.
Margaret Morris <margaret.e.morris@intel.com>
Margaret ("Margie") Morris is a senior researcher with Intel Research who heads up outcome studies in Intel's proactive health group. Her dissertation and recent research has focused on person-environment relationships: the way that people respond to and shape aspects of the physical environment, broadly defined to include ecology, architecture and technology. She also has a background in health outcomes research and has developed a novel assessment approach that integrates network modeling techniques from cognitive psychology. She came to Intel from Sapient where she studied consumer experience and technology adoption. She completed her PhD in clinical psychology at the University of New Mexico with a minor in behavioral neuroscience, her clinical internship at the San Francisco VA Medical Center, and her postdoctoral fellowship at Stanford University.
Florian Michahelles <michahel@inf.ethz.ch>
Florian Michahelles is a PhD student of Bernt Schiele's Perceptual Computing and Computer Vision Group (PCCV), Department of Computer Science at ETH Zurich, Switzerland.His current research interests are context-aware and perceptual computing. In particular, he focuses on the integration of diverse and distributed sensors as well as on applying those to ubiquitous computing applications. He is working on the Smart-Its project, which vision is the augmentation of everyday objects with sensing, perception, computation, and communication capabilities. His most recent work was centered around embedding assembly instructions into objects (Proactive Furniture Assembly) and secondly on providing awareness of vital sign data among rescuers of buried avalanche victims (A-Life), presented at this workshop.
Before starting his PhD, Florian obtained a M.Sc. (Dipl.Inf.) in Computer Science from Ludwig-Maximilians Universität München, Germany, in 2001.
Catherine D'Ambrosio <dambrosi@u.washington.edu>
Graduated in January, 1983 from Barnes Hospital School of Nursing in Saint Louis, Missouri with a Diploma in Nursing. 1988, graduated Magna Cum Laude with a Bachelor of Science in Nursing from the University of Missouri. Completed Master of Science in Gero-Psychiatric Nursing from the University of Pennsylvania in Philadelphia, where she was inducted into Sigma Theta Tau International Honor Society of Nursing in 1990. She is a Medical-Surgical nurse with experience in oncology, Bone Marrow Transplant, Burn-Trauma, Cardio-thoracic Intensive Care, and Home Health Care. Catherine is the past-president of the Kitsap County Nurses Association, former member of the Silverdale Rotary Club where she represented nursing as a business and a profession to the business community. She recently sold the assets of her home health care agency, specializing in medically intensive home nursing care to Acute Care, Inc. in Woodinville. Catherine has provided consultation and extensive assistance to families providing long-term intensive in-home care to their family members. Currently Catherine is completing her doctoral studies at the University of Washington School of Nursing. She is writing a rule-based expert system in common lisp to be used as the basis for bedside nursing decision support. Her dissertation focuses on calculating logical and germane recommendations regarding toileting decisions nurses face when caring for individual persons suffering from Cognitive Impairment-Related Functional Urinary Incontinence. If her research demonstrates that nurses’ problem-solving and decision-making processes are accurately captured in such computations, Catherine intends to expand this research to other activities of daily living (such as bathing, dressing, grooming, nutrition, and hydration) affected by impaired cognition. Catherine expects to complete her Ph.D. in Nursing Science in 2002.
Lonnie D. Harvel <ldh@ece.gatech.edu>
Lonnie Harvel is a Senior Research Scientist in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the Director of the Digital Media Lab in ECE, the Associate Director of the Center for Distributed Engineering Education at GT, and an affiliate member of the Graphics, Visualization and Usability Center also at GT. His current research includes the development of distributed education architectures and applications, mobile interaction, telepresence, context analysis systems and context based content filtering. His general areas of research are context-aware computing, context analysis, and ubiquitous computing. He received his BFA in Theater and his MS in Computer Science from the University of Georgia. In conjunction with his ongoing research projects, he is trying to complete his Ph.D. in Computer Science at Georgia Tech.
Henry Kautz <kautz@cs.washington.edu>
Henry Kautz is an Associate Professor in the Department of Computer Science and Engineering at the University of Washington,where he leads the Assisted Cognition project. He joined the faculty in the summer of the year 2000 after a career at Bell Labs and AT&T Laboratories, where he was Head of the AI Principles Research Department. He is a recipient of the Computers and Thought Award from the International Joint Conference on Artificial Intelligence and a Fellow of the American Association for Artificial Intelligence. In 1998 he was elected to the Executive Council of AAAI, and in 2000 was Program Chair for the AAAI National Conference.
Ken Fishkin <kfishkin@intel-research.net>
Ken Fishkin is a researcher at Intel Research Seattle. He has over 15 years experience in Industrial R&D, including stints at Pixar (4 years), and Xerox PARC (8 years). While at PARC, he co-founded the "eXtreme UI" research effort, which helped invent what are now called "Tangible User Interfaces". He has published widely in the fields of Computer Graphics and User Interfaces. His current research interests center on Ubiquituous Computing ("Ubicomp") user interfaces and systems, in particular ways that Ubicomp can be applied to help Alzheimer patients and caregivers. He holds Bachelor's degrees in Computer Science and in Mathematics from the University of Wisconsin (Madison), and a Master's Degree in Computer Science from the University of California (Berkeley).
David Anderson <Davidb.Anderson@Sun.COM>
David Anderson is a Principal Investigator at Sun Labs Europe, where he works on sensor networks and human communication. He wants to make IP networks dirt cheap, and pervasive. Prior to joining Sun, David was a researcher at Mitsubishi Electric Research Labs (MERL) and CMU, where he also did his graduate studies.
Dr. Maki K. Habib <maki55@tm.net.my>
B. Sc. Eng. (Control and Systems Eng.), and M. Sc. Eng. (Computer Eng.) in 1978 and 1981 respectively. He obtained his Ph. D. in Robotics Engineering from the University of Tsukuba, Japan in 1989. Lecturer from 1981 to 1986. Ph. D. Eng. (Intelligent and Autonomous Robots), Universoty of Tsukuba, Japan. From 1990-1992 he was a selected research scientist at RIKEN by Japan Science and Technology Agency. He was a Senior researcher at RISO Laboratories from April 1992 to April 1994. From 1994 to 1995, he was a visiting researcher at the Swiss Federal Institute of Technology (EPFL) in Lausanne-Switzerland. From May 1995 to Sept. 1995 he was a visiting Expert under the Asian Development Bank (ADB) at Malaysia University of Technology. As Associate Prof. From Sept. 1995 to July 1996 at University Technology Malaysia. From August 1996 to Feb. 1999 he worked as a Senior Manager for Technology Development and Engineering Consultancy at Malaysia Center for Robotics and Industrial Automation. From Feb. 1999 to March 2001 he worked with GMD-Japan Research Laboratory / Japan as a Senior Research Scientist to lead the Telecooperation group. From March 2001, he is working as Associate Prof at Monash University (Malaysia Campus) and heading the Meachatronics Engineering Program. He did and continue to work as a consultant and technical advisor in the field of Robotics and Industrial Automation with highly recognised organisations and companies, such as, Toyota/Denso, ABB. Prof. Habib has moe than 90 papers published in internationally recognised Journals and Conferences. Main Research interests covers the following topics: Teleoperation and Collaborative Control supporting distributed processes and integrating mix realities; Collaborative Teleoperation; Collaborative Virtual environments. The case of Smart house, Virtual University, Virtual hospital, are undergoing projects; Real Time Control over the Internet; Remote Experiment covering Monitoring and Control over vast distances; Mobile Robot Control Architecture and behavior based Autonomous Navigation system; Coordination and Cooperation in Multi Agent Robotic Systems. Current Contact address:Head of Mechatronics Engineering Program
School Of Engineering and Science
Monash University Malaysia
No. 2, Jalan Kolej, Bandar Sunway,
46150 Petaling Jaya, Selangor, Malaysia.
Email: maki@ieee.org or maki.habib@engsci.monash.edu.my
Maya Lincoln <mayal@technion.ac.il>
Eng. Maya Lincoln is an Information Systems engineer with extensive experience in the field of object oriented computing. Maya's current R&D focus is in the field of distributed systems that support IP networks. Maya has been with the Technion faculty of Industrial Engineering since 1995, first as an Engineering student and since 1999 as a research fellow involved in several research projects. Maya holds a B.Sc. in Industrial Engineering Graduated Cum Laude. She is currently completing her Magister's thesis in the field of Information Technology.
Bernt Schiele <schiele@inf.ethz.ch>
Bernt Schiele is Assistant Professor at ETH Zurich, Switzerland. He received MSc's from INP Grenoble, France and from University of Karlsruhe, Germany in 1994. In 1997 he obtained his PhD from INP Grenoble, France. Between 1997 and 1999 he was been with the MIT Media Laboratory, USA. His research interests are in computer vision, perceptual computing, statistical learning, wearable and ubiquitous computing, and integration of multi-modal sensor data. He is particularly interested in developing methods and systems which work under real-world conditions.
Stephen Intille <intille@mit.edu>
Stephen Intille is a Research Scientist at MIT and technology directory of the Changing Places / House_n: MIT Home of the Future Project. His research is focused on the development of context-recognition algorithms and user interface design strategies for ubiquitous computing environments and mobile computing devices that motivate long-term behavior change. Of special interest is new computing technology for proactive, preventative healthcare. He received his Ph.D. from MIT in 1999 working on computational vision at the MIT Media Laboratory, an S.M. from MIT in 1994, and a B.S.E. degree in Computer Science and Engineering from the University of Pennsylvania in 1992. He has published research on large-occlusion computational stereo depth recovery, multi-agent tracking, real-time tracking, multi-agent action recognition, and perceptually-based interactive environments.