Stephen S. Intille

Technology Director, House_n
Massachusetts Institute of Technology
MIT Department of Architecture
intille@mit.edu
1 Cambridge Center, 4FL
Cambridge, MA 02142 USA
Tel: 617-452-2346
Fax: 617-225-0027

Research  Short bio  Teaching  Projects  Selected publications  CV  Education  Past affiliations  Past courses Advice for students Grants  Other

Research interests

Computational sensing and user interface systems for preventive medicine, persuasive user interfaces for motivating behavior change, experimental ubiquitous computing, living laboratories, perceptually-based interactive environments for home and educational settings, dynamic scene understanding, context-based computer vision, artificial intelligence.

I am exploring how ideas from the fields of pattern recognition, machine learning, computer vision, and artificial intelligence can be integrated to develop algorithms that recognize the types of human activities that are common in everyday spaces such as educational environments, workplaces, and especially homes.  I am particularly interested in how robust algorithms can be developed that use statistical integration of contextual information when large training sets are not available. 

My group is exploring how computational sensing and AI techniques -- integrated with architectural principles and effective interface design -- can be used to create new types of living environments, learning environments, and entertainment spaces. A special focus is new algorithms that use ubiquitous sensing to recognize activities of daily living in order to determine when and how to provide preventive healthcare education in the home. As part of this work, we are developing context-aware algorithms and tools that both measure and motivate behavior change in real environments such as homes and public spaces. This work draws on ideas from computer science, behavioral science, social psychology, learning, and preventive medicine. We are creating computer systems that motivate healthy behavior over long time periods using both personal, handheld computing devices and next-generation ubiquitous computing environments. 

[Short bio]

Current teaching

Looking for a graduate research project or UROP related to computational perception, AI, interactive environments, preventive medicine, and/or future computer interface design? Send me your resume and a list of interests.

Here are current MIT UROP openings
.

I'm also now looking for part time EE consultants.

Possible for Fall 2008: A multi-disciplinary course on using mobile phones for health. To get on a mailing list to learn more, send me an email.

Past courses

Selected projects

Portable In-Home Data Collection

How can we easily instrument homes for doing research on ubiquitous computing and health technologies? We are building tools for in-home monitoring and developing datasets that can be used as a shared community resource. Essentially, we are creating a portable version a live-in multi-modal sensing system.  

User-Driven Pattern Recognition

Most pattern recognition algorithms that detect activity and context from in-home or wearable sensors assume the recognition system is a black box. However, we have reason to believe this will not work in practice, and we are conducting research on how one might create inference algorithms where end-users play a key role in sensor installation, sensor maintenance, algorithm training, and error correction.  

Operant Conditioning for Motivating Behavior Change

See: Mobile Health Project

The PlaceLab

How can ubiquitous computing technologies be created and evaluated that work for extended periods of time? How an persuasive interfaces designed to motivate behavior change in the home be studied in context? My research group, in collaboration with our partner TIAX, has developed the PlaceLab - an apartment-scale shared research facility in a residential condominium building in Cambridge where new technologies and design concepts can be tested and evaluated in the context of everyday living. 

MITes (portable sensors)

The House_n group has developed a kit of wireless portable sensors that can be easily deployed in homes and offices for studying behavior and creating and evaluating novel context-sensitive human-computer interface systems. The sensors have been extensively tested (some in the PlaceLab), and they are being adopted by research groups other than House_n. They include sensors for measuring object motion, acceleration, current flow, heart rate, ultra-violet light, indoor position, and more.  

Computational perception and persuasive user interface design (multiple projects)

Can computers with computational sensing motivate behavior change? In my lab we are working on several projects on using mobile and ubiquitous computers to both to measure and to motivate behavior change. This NIH, Robert Wood Johnson Foundation, and NSF-supported work is investigating the potential of computational perception for "just-in-time" information presentation and learning. We are studying intersection between new UI design strategies, computational tools for studying behavior change, computational learning algorithms for context-recognition and planning, and behavioral and social psychology.  A special focus is on the evaluation of the algorithms and devices we create in real environments. Much of the work deals with measuring and motivating physical activity and healthy eating.  

Context-aware experience sampling tools (multiple projects)

How can we design tools for researchers in a variety of different fields that help them study people in real contexts? We are developing novel tools for mobile computing devices that can gather data for both computational and public health studies in actual home settings. These tools use variations on a technique we call context-aware experience sampling.  

Ubiquitous computing (multiple projects)

In the House_n lab we have created a home-like pervasive computing environment with sensing systems and ubiquitous display and laser pointer interaction. We are investigating the implications of ubiquitous computing and computation sensing for motivating behavior change, particularly preventive health applications. I am particularly interested in the symbiotic relationship between architectural design, computational sensing design, AI, and user interface design. How will fusing ideas from these fields enable new devices and spaces that impact our lives in meaningful ways in the future?

quakercolor.gif (5164 bytes)Recognizing multi-agent action
(circa 1999)

The goal of this research was to develop algorithms that integrate contextual domain knowledge and computer vision feature detection in order to interpret and describe events in sequences of video. In particular, the algorithms must handle scenes with multiple people interacting with each other. To demonstrate how this can be done, I designed a system that automatically labels actions and states in a football play such as "passing" "blocking" and "R34 run play" using probabilistic models.

kidsroom.gif (26688 bytes)The KidsRoom
(circa 1997)

The KidsRoom was an interactive, narrative playspace for children. It was one of the first interactive environments to handle multiple people interacting with each other.  The actions of the children, who were in a real bedroom overlooked by several video cameras, were interpreted by computer vision tracking and action recognition algorithms. The story was used to establish context for the sensing algorithms enabling recognition of action, and recognition of action was used to create a new type of compelling interactive experience. A commercialized version of the system developed by NearLife for the British Millennium Dome won an interactive media design award from Id Magazine.

track-rt.gif (1597 bytes)Real-time tracking
(circa 1997)

This work, developed with Jim Davis, extended the idea of context-sensitive tracking to a real-time domain and was used extensively in the KidsRoom   Multiple objects are tracked in real-time from an overhead view.

cw-track.gif (37980 bytes)Context-based tracking
(circa 1994)

This work explored the use of contextual information for tracking tracking of multiple, interacting objects simultaneously.  The task was to automatically track football players in high-cam video of a football play. The low-resolution, colliding, blob-like players pose a problem for most conventional tracking algorithms, but knowledge about the rules of football and likely events in time can be used to resolve some tracking ambiguities.

kidsl.gif (12068 bytes)kidsr.gif (12194 bytes)

Large-occlusion stereo vision
(circa 1993)

Real stereo scenes with people typically contain large occluded regions. This work developed a computational stereo algorithm that is unaffected by the presence of large occlusion regions, permitting more accurate recovery of occlusion boundaries.

Selected publications  (Full CV)

    P. Kaushik, S. S. Intille, and K. Larson, "Observations from a case study on user adaptive reminders for medication adherence," in Proceedings of Pervasive Health, Berlin Heidelberg: Springer-Verlag, 2008. To appear.

    E. M. Tapia, S. S. Intille, and K. Larson, "Portable wireless sensors for object usage sensing in the home: Challenges and practicalities," in Proceedings of the European Ambient Intelligence Conference. vol. LNCS 4794 Berlin Heidelberg: Springer-Verlag 2007, pp. 19-37. [Abstract] [PDF]

    J. S. Beaudin, S. S. Intille, E. Munguia Tapia, R. Rockinson, and M. Morris, "Context-sensitive microlearning of foreign language vocabulary on a mobile device," in Proceedings of the European Ambient Intelligence Conference. vol. LNCS 4794 Berlin Heidelberg: Springer-Verlag 2007, pp. 55-72. [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, W. Haskell, K. Larson, J. Wright, A. King, and R. Friedman, "Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor " in Proceedings of the International Symposium on Wearable Computers: IEEE Press, 2007.
    [Abstract] [PDF] 

    B. Logan, J. Healey, Matthai Philipose, E. Munguia Tapia, and S. Intille, "A long-term evaluation of sensing modalities for activity recognition," in Proceedings of the International Conference on Ubiquitous Computing, vol. LNCS 4717. Berlin Heidelberg: Springer-Verlag, 2007, pp. 483–500.
    [Abstract] [PDF] 

    M.S. Goodwin, W.F. Velicer, and S.S. Intille, "Telemetric monitoring in the behavior sciences," Behavior Research Methods, 2007. In press.

    J.S. Beaudin, S. S. Intille, and M. Morris, "MicroLearning on a Mobile Device," in Proceedings of UbiComp 2006 Extended Abstracts (Demo Program), 2006, to appear.
    [Abstract] [PDF] 

    Beaudin, J.S., S.S. Intille, and M.E. Morris, "To track or not to track: User reaction to concepts in longitudinal health monitoring." Journal of Medical Internet Research, 2006. 8(4): p. 29.
    [HTML] [PDF]

    S. Intille, J. Herigon, W. Haskell, A. King, J. A. Wright, and R. F. Friedman, "Intensity levels of occupational activities related to hotel housekeeping in a sample of minority women," in Proceedings of the Annual Meeting of the International Society of Behavioral Nutrition and Physical Activity, 2006.
    [Abstract] [Poster] 

    J. Nawyn, S. S. Intille, and K. Larson, "Embedding behavior modification strategies into consumer electronic devices," in Proceedings of UbiComp 2006. vol. LNCS 4206, P. Dourish and A. Friday, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 297-314.
    [Abstract] [PDF

    J. Nawyn, S. S. Intille, and K. Larson, "Embedding behavior modification strategies into a consumer electronics device [video]," in Proceedings of UbiComp 2006 Extended Abstracts (Video Program), 2006.
    [Video] 

    S.S. Intille, "The goal: smart people, not smart homes," in Proceedings of the International Conference on Smart Homes and Health Telematics, IOS Press, 2006.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, E. Munguia Tapia, J. Beaudin, P. Kaushik, J. Nawyn, and R. Rockinson, "Using a live-in laboratory for ubiquitous computing research," in Proceedings of PERVASIVE 2006, vol. LNCS 3968, K. P. Fishkin, B. Schiele, P. Nixon, and A. Quigley, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 349-365.
    [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, L. Lopez, and K. Larson, "The design of a portable kit of wireless sensors for naturalistic data collection," in Proceedings of PERVASIVE 2006, vol. LNCS 3968, K. P. Fishkin, B. Schiele, P. Nixon, and A. Quigley, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 117-134.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, J. Beaudin, E. Munguia Tapia, P. Kaushik, J. Nawyn, and T.J. McLeish, "The PlaceLab: a live-in laboratory for pervasive computing research (Video)," in Proceedings of Pervasive 2005 Video Program, May, 2005.
    [Abstract] [PDF] [Video (334 MB DIVX AVI)]

    J. Ho and S. S. Intille, "Using context-aware computing to reduce the perceived burden of interruptions from mobile devices," in Proceedings of CHI 2005 Connect: Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2005, pp. 909 - 918.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, J. S. Beaudin, J. Nawyn, E. Munguia Tapia, and P. Kaushik, "A living laboratory for the design and evaluation of ubiquitous computing interfaces," in Extended Abstracts of the 2005 Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2005, pp. 1941 - 1944.
    [Abstract] [PDF] 

    M. Morris, S. S. Intille, and J. S. Beaudin, "Embedded Assessment: overcoming barriers to early detection with pervasive computing," in Proceedings of PERVASIVE 2005, H. W. Gellersen, R. Want, and A. Schmidt, Eds. Berlin Heidelberg: Springer-Verlag, 2005, pp. 333-346.
    [Abstract] [PDF] 

    K. Patrick, S. Intille, and M. Zabinski, "An ecological framework for cancer communication: implications for research," Journal of Medical Internet Research, 7(3): e23, 2005.
    [Abstract] [Online article]

    S. S. Intille, "A new research challenge: persuasive technology to motivate healthy aging," Transactions on Information Technology in Biomedicine, vol. 8(3), pp. 235-237, 2004. 
    [Abstract] [PDF]

    S. S. Intille, "Ubiquitous computing technology for just-in-time motivation of behavior change," in Proceedings of Medinfo. vol. 11(Pt) 2, 2004, pp. 1434-7.

    S. M. Nusser, S. S. Intille, and R. Maitra, "Emerging technologies and next generation intensive longitudinal data collection," in Models for Intensive Longitudinal Data, T. Walls and J.L. Schafer, Eds. New York: Oxford, 2006.  
    [Abstract]

    S. S. Intille, "Technological innovations enabling automatic, context-sensitive ecological momentary assessment," in The Science of Real-Time Data Capture: Self-Report in Health Research, A. A. Stone, S. Shiffman, A. A.A., and L. Nebeling, Eds.: Oxford University Press, 2005. In press.
    [Abstract]

    S.S. Intille, E. Munguia Tapia, and L. Bao, "Real-Time Physical Activity Recognition Using Multiple Wireless Accelerometers". Abstract presented at the Scientific Meeting on Objective Monitoring of Physical Activity: Closing Gaps in the Science of Accelerometry, December, 2004. 

    E. M. Tapia, N. Marmasse, S. S. Intille, and K. Larson, "MITes: Wireless portable sensors for studying behavior," in Proceedings of Extended Abstracts Ubicomp 2004: Ubiquitous Computing, 2004.
    [Abstract] [PDF]

    K. Larson, S. Intille, T. J. McLeish, J. Beaudin, and R. E. Williams, "Open source building — reinventing places of living," BT Technology Journal, vol. 22, pp. 187-200, 2004.
    [Abstract] [PDF]

    J. S. Beaudin, E. Munguia Tapia, and S. S. Intille, "Lessons learned using ubiquitous sensors for data collection in real homes," in Extended Abstracts of the 2004 Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2004, pp. 1359-1362.
    [Abstract] [PDF]

    L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in Proceedings of PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin Heidelberg: Springer-Verlag, 2004, pp. 1-17.
    [Abstract] [PDF]

    E. Munguia Tapia, S. S. Intille, and K. Larson, "Activity recognition in the home setting using simple and ubiquitous sensors," in Proceedings of PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin Heidelberg: Springer-Verlag, 2004, pp. 158-175.
    [Abstract] [PDF

    S. S. Intille, L. Bao, E. Munguia Tapia, and J. Rondoni, "Acquiring in situ training data for context-aware ubiquitous computing applications," in Proceedings of CHI 2004 Connect: Conference on Human Factors in Computing Systems. New York, NY: ACM Press, 2004, pp. 1-9.
    [Abstract] [PDF]

    S. S. Intille, "Ubiquitous Computing Technology for Just-in-Time Motivation of Behavior Change (Position Paper)," in Proceedings of the UbiHealth Workshop, 2003.
    [PDF]  

    S. S. Intille, K. Larson, and E. M. Tapia, "Designing and evaluating technology for independent aging in the home," in Proceedings of the International Conference on Aging, Disability and Independence, 2003.
    [Abstract] [PDF] 

    E. Munguia Tapia, S.S. Intille, J. Rebula,  S. Stoddard. Concept and Partial Prototype Video: Ubiquitous Video Communication with the Perception of Eye Contact. Proceedings of UBICOMP 2003 Video Program, 2003.  
    [Abstract] [PDF] [Video (MPEG v.1 AVI)]

    S.S. Intille, V. Lee, and C. Pinhanez. Ubiquitous Computing in the Living Room: Concept Sketches and an Implementation of a Persistent User Interface. Proceedings of UBICOMP 2003 Video Program, 2003. 
    [Abstract] [PDF] [Video (MPEG v.1 AVI)]

    S.S. Intille, E. Munguia Tapia J. Rondoni, J. Beaudin, C. Kukla, S. Agarwal, and L. Bao, "Tools for studying behavior and technology in natural settings," in Proceedings of UBICOMP 2003: Ubiquitous Computing, vol. LNCS 2864, A.K. Dey, A. Schmidt, and J.F. McCarthy, Eds. Berlin Heidelberg: Springer, 2003, pp. 157-174.
    [Abstract] [PDF]

    S.S. Intille, K. Larson. Designing and Evaluating Supportive Technology for Homes. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2003, IEEE Press. 
    [Abstract]  [PDF]

    S. S. Intille, C. Kukla, R. Farzanfar, and W. Bakr, "Just-in-time technology to encourage incremental, dietary behavior change," in Proceedings of the AMIA 2003 Symposium: Wiley, 2003.
    [Abstract] [PDF]

    S. S. Intille, J. Rondoni, C. Kukla, I. Anacona, and L. Bao, "A context-aware experience sampling tool," in Proceedings of CHI '03 Extended Abstracts on Human Factors in Computing Systems. New York, NY: ACM Press, 2003, pp. 972-973.
    [Abstract] [PDF]

    S.S. Intille and A.M. Intille, "New challenges for privacy law: wearable computers that create electronic digital diaries," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2003.
    [Abstract] [PDF]

    S. S. Intille, "Change blind information display for ubiquitous computing environments," in Proceedings of the UbiComp 2002: Ubiquitous Computing, vol. LNCS 2498, G. Borriello and L. E. Holmquist, Eds. Berlin: Springer-Verlag, 2002, pp. 91-106.
    [Abstract] [PDF]

    S. S. Intille, "Designing a home of the future," IEEE Pervasive Computing, vol. April-June, pp. 80-86, 2002.
    [Abstract] [PDF]

    S. S. Intille, K. Larson, and C. Kukla, "Just-in-time context-sensitive questioning for preventative health care," in Proceedings of the AAAI 2002 Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, AAAI Technical Report WS-02-02. Menlo Park, CA: AAAI Press, 2002.
    [Abstract] [PDF]

    S. S. Intille, C. Kukla, and X. Ma, "Eliciting user preferences using image-based experience sampling and reflection," in Proceedings of the CHI '02 Extended Abstracts on Human Factors in Computing Systems. New York, NY: ACM Press, 2002, pp. 738-739.
    [Abstract] [PDF]

    S. S. Intille and A. F. Bobick, "Recognizing planned, multi-person action," Computer Vision and Image Understanding (1077-3142), vol. 81, pp. 414-445, 2001.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille, C. Kukla, B. Stigge, and L. Bonanni, "Merging the physical and digital in ubiquitous computing environments," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2001.
    [Abstract] [PDF]

    R. Khalaf and S. S. Intille, "Improving multiple people tracking using temporal consistency," Massachusetts Institute of Technology, Cambridge, MA, MIT Dept. of Architecture House_n Project Technical Report, 2001.
    [Abstract] [PDF]

    C. S. Pinhanez, J. W. Davis, S. S. Intille, M. Johnson, A. Wilson, A. F. Bobick, and B. Blumberg, "Physically Interactive Story Environments," IBM Systems Journal, vol. 39, pp. 438-455, 2000.
    [Abstract] [Word] [ASCII] [Compressed Postscript] [PDF]

    A. Bobick, S. S. Intille, J. W. Davis, F. Baird, C. S. Pinhanez, L. W. Campbell, Y. Ivanov, A. Schutte, and A. Wilson, "The KidsRoom (sidebar)," Communications of the ACM, vol. 43, pp. 60-61, 2000.
    [PDF]

    S. S. Intille, "Visual Recognition of Multi-Agent Action," Massachusetts Institute of Technology, Cambridge, MA, Ph.D. thesis 1999.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille and A. F. Bobick, "A framework for recognizing multi-agent action from visual evidence," in Proceedings of the Sixteenth National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press, 1999, pp. 518-525.
    [Abstract] [Compressed Postscript] [PDF]

    A. F. Bobick, S. S. Intille, J. W. Davis, F. Baird, L. W. Campbell, Y. Ivanov, C. S. Pinhanez, A. Schütte, and A. Wilson, "The KidsRoom: A perceptually-based interactive and immersive story environment," PRESENCE: Teleoperators and Virtual Environments, vol. 8, pp. 367-391, 1999.
    [Abstract] [Compressed Postscript] [PDF]

    A.F. Bobick and S.S. Intille, "Large occlusion stereo," International Journal of Computer Vision, vol. 33, pp. 181-200, 1999.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille, J. Davis, and A. Bobick, "Real-time closed-world tracking," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition: IEEE Press, 1997, pp. 697-703.
    [Abstract] [Compressed Postscript] [PDF]

    S. S. Intille and A. F. Bobick, "Closed-world tracking," in Proceedings of the Fifth International Conference on Computer Vision: IEEE Press, 1995, pp. 672-678.
    [Abstract] [Compressed Postscript] [PDF]

Education

Ph.D. Media Arts and Sciences
Massachusetts Institute of Technology, 1999
Area: Computational Perception / Computer Vision
Thesis: Visual Recognition of Multi-Agent Action
Advisor: Aaron Bobick

S.M., Media Arts and Sciences
Massachusetts Institute of Technology, 1994
Research: Computer Vision

B.S.E., Computer Science and Engineering
University of Pennsylvania, 1992

Lab affiliations

House_n
September 1999 - present

The MIT Media Laboratory, Vision and Modeling Group
1992-1999

The UPenn GRASP Laboratory
1991-1992

Previous courses

4.208 Designing Persuasive Environments and Technologies
(Fall 2004, Fall 2003, Fall 2002)

Building Interactive Environments (with C. Pinhanez) 
( SIGGRAPH 2003 San Diego, SIGGRAPH 2002 San Antonio) 

4.208 User Interface Design Studio for Future Computing Environments (Fall 2001, Fall 2000)

4.184 Home of the Future / Community of the Future (with K. Larson)
(Fall 1999)

IAP events

Visions of the Future: Screening and Making Concept Videos
(IAP 2005, IAP 2004)

Movie Making: Inventing the Future of Ubiquitous Computing
(IAP 2003)

Ubiquitous Computing Design Contest
(IAP 2003)

Designing a User Interface "Age Suit"
(IAP 2002)

Hack a Home of the Future Computer Interface
(IAP 2001)

Inventing a Home of the Future lunchtime seminar
(IAP 2000)

Advice for students 

I recommend all my students or potential students read the following materials: Stephen's Thesis Development and Writing Tips 

Grants

Principal Investigator, NSF "CRI:CRD Development of Longitudinal Home Activity Datasets as a Shared Resource." Three year study to develop portable sensor tools for and provide shared datasets on home activity to the research community interested in activity detection and health applications for the home setting. 2008.

Principal Investigator, NIH "Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones" Four year study on to create novel health monitoring tools for mobile phones. 2007. Includes a supplement to study, "Extensible Platform for Implementing Experience Sampling on Mobile Phones." 2007.

Principal Investigator, Intel "AIM Proposal: End-User-Driven Training of Activity Recognition Algorithms" Three year study on context-aware sensing applied towards proactive health care. 2007.

MIT Principal Investigator, NIH "Physical activity energy expenditure and adolescent obesity." Collaboration with Vanderbilt University where House_n sensors are being provided to Vanderbilt researchers for energy expenditure measurement experiments. 2007.

MIT Principal Investigator, National Alliance for Autism, "Telemetric Assessment of Movement Stereotypy in Children with ASD". A 2 year study. 2006 (Lead: Groden Center, Rhode Island. Collaborator: University of Rhode Island)

Principal Investigator, Microsoft Research Grant "Integration of Memex and PlaceLab Datasets for Personal Investigations of Health and Living Patterns". An 8 month study. 2006 

MIT Principal Investigator, NIH "Just in Time Health Information for Exercise Adoption". A two year study. 2005 (Lead: Boston Medical) 

MIT Principal Investigator, University of North Carolina, "Development of an Objective Measure of Television Watching." A one year study. 2005 (Lead: University of North Carolina)

MIT Principal Investigator, NIH, "Context-Sensitive Measurement of Physical Activity." A two year study. 2004 (Lead: Boston Medical. Collaborator: Stanford Medical)

Principal Investigator, Intel, "AIM Proposal: Detecting Idle Moments for Proactive Health Activities Using Personal and Environmental Sensors and Interfaces." Three year study on context-aware computing for proactive health care. 2003.

Principal Investigator, NSF, "ITR: Detecting Activity in Homes with Ubiquitous Sensing to Support Aging in Place." A two year study. 2003

IBM Faculty Award. To investigate ubiquitous computing technology. 2003.

Principal Investigator, NSF, ITR/PE: Using context-recognition for preventative medicine in the home." A two year, collaborative study with Boston Medical. 2001. 

Principal Investigator, Robert Wood Johnson Foundation, "Measuring and Motivating Stair Use in Public Spaces." 2002.  

Other interests

Entrepreneurial activities, cooking, hiking and other outdoor activities, clicker training, exploring Boston and surroundings. 

A favorite book

The Adventures of Sherlock Holmes, A.C. Doyle

Most wishes to have dinner with

Benjamin Franklin


"The best way to predict the future is to invent it." -Alan Kay

Last modified: 1/15/07