- Advising aids by Dave Brown
- Collected advise on research and writing
- Writing Systems and Networking Articles by Henning Schulzerinne
Mobile Health Links
My Mobile Health research interests are around:
- Tracking, monitoring and measuring user behavior
- Researching and developing smartphone applications to assist patients with various wellness and chronic ailments
Mobile Health Research Links
- Open mHealth
- Medical Device Plug-and-Play (or MD PnP) interoperability program an inter-disciplinary, multi-institutional medical device informatics research program.
- iMedicalApps online publication for medical professionals, patients, and analysts interested in mobile medical technology and health care apps.
Quantified Self Links
- Quantified Self a collaboration of users and tool makers who share an interest in self knowledge through self-tracking.
- Quantified Doctor Quantified self Blog run by Paul Abramson, M.D., a medical doctor with an active private practice in San Francisco, and also a former electrical engineer and programmer, who has been self-tracking for health for years.
- Personal Informatics Tools
- Bodytrack.org The BodyTrack project seeks to help people working to track down suspected environment/health interactions (food sensitivities, asthma or migraine triggers, sleep problems, etc.). In many cases, simple medical tests to identify sensitivities and triggers do not yet exist, leaving people to try to discover through a trial-and-error approach involving cycles of hypothesis generation, modification of inputs, introspection, and evaluation. Keeping track of everything that's potentially important is a real challenge, and we believe that better tools for collecting and exploring relevant data and observations will help.
- The Mymee 12-week data driven coaching program is an intensive program that combines the use of a self-tracking smartphone app (not yet generally available) with a data-driven health coach
Quantified Self Links
- PocketSphinx: Speech recognition on mobile devices An extension of the CMUSphinx speech recognition software from CMU
- Android Speech Recognizer: Speech recognition on Android
Mobile Health Software
- Funf: Open Sensing Framework extensible sensing and data processing framework for mobile devices being developed at the MIT Media Lab
- Open Data Kit (ODK) free and open-source set of tools which help organizations author, field, and manage mobile data collection solutions.
- Ohmage Open-source, mobile to web platform that records, analyzes, and visualizes data from both prompted experience samples entered by the user, as well as continuous streams of data passively collected from sensors or applications onboard the mobile device.
- Wockets: Open Source Accelerometers for Phones open source project is to create software and hardware that permits automatic, 24/7 physical activity and context detection on common mobile phones
- Ushahidi Open source system that allows people to submit crisis information through text messaging using a mobile phone, email or web form. Displays information in map view.
- Tizen, linux-based open mobile platform effort led by Intel and Samsung
- MIT Reality Mining Dataset
- Google Android Developer site
- Webkit: Open Source Web Engine Project
Mobile Health MQPs Supervised/Supervising
- RFID Navigation System for the Visually Impaired by Punit Dharani, Benjamin Lipson, Devin Thomas
- Mom-O-Meter: A self-help pregnancy Android app by Evan Duderewicz, Brendan Harris, Thomas Jenkins, Ken Miyauchi, Michael Ng (co-advised with Bengisu Tulu, WPI Management and Information Systems Dept)
Mobile Health Research Groups
- Dartmouth SENSORLAB Group A leading research group in opportunistic sensing using smartphones with several ideas in mobile health.
- People Aware Computing Research Group at Cornell Several interesting people aware projects using smartphones with some in health.
- Stevens Tech Daisy Group mHealth, Mobile Health and Mobile Security Resarch Group at Stevens Tech. NSF grant for opportunistic sensing of physiological measures [ Press Release ] [ Press Release ] [NSF abstract]
- UCSF mHealth Group mHealth Resarch Group at UCSF. Several interesting projects including OpenPATH mobile framework and OpenPATH designer, a drag-and-drop interface for mHealth applications
- Rice Efficient Computing Group Several interesting efficient computing projects using smartphones with some in health.
Mobile Image/Video Processing, Computer vision and Augmented Reality
- OpenCV: Open Computer Vision Library from Intel, including a version for the Android Operating System
- FastCV: Computer Vision Library from Qualcomm
- GStreamer: GStreamer is a library for constructing graphs of media-handling components The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing. Applications can take advantage of advances in codec and filter technology transparently
- Vuforia: Augmented Reality Library from Qualcomm
Mobile Systems Software
- CMU Internet Suspend Resume Project
- Coda File system source code
- Odyssey source code
- PowerScope source code
Wireless Networking Links
- Dartmouth archive of wireless-network trace data
- WRAPI library to query information about the IEEE 802.11 network
- Multiband Atheros Driver for WiFi (MADWIFI): Linux driver for 802.11a/b/g universal NIC cards - Cardbus, PCI, or miniPCI - using Atheros chip sets
- Footpath infrastureless indoor navigation for smartphones
Energy Measurement Links
Graphics Research Links
My research interests are in areas of computer graphics concerned with using computers to produce realistic images (photorealistic images). Specifically, I am interested in how to represent interesting natural phenomena like diffraction which produces the color streaks we observe when we look at a CD-ROM and interference which produces color in oil slicks and soap bubbles.
I am also interested in an emerging area of computer graphics known as appearance models. This area tries to introduce effects like weathering of stones and aging of paint pigments to make computer graphics images even more realistic while reducing the almost plastic look of previous models.
- ACM Transactions on Graphics
- Computer Aided Design
- Computers and Graphics
- Computer Graphics (ACM SIGGRAPH newsletter)
- Computer Graphics Forum
- IEEE Transactions on Visualization and Computer Graphics
- IEEE Computer Graphics and Applications
- Journal of Geometry and Graphics
- Journal of Graphics Tools
- Journal of Visual Communication and Image Representation
- The Journal of Visualization & Computer Animation
- Journal of Visual Languages and Computing [ Elselvier Website ]
- Real Time Graphics
- The Visual Computer
Graphics Research Groups
- MIT Computer Graphics Group - LCS
- Computer Graphics at Berkeley
- Program of Computer Graphics at Cornell
- UNC Graphics and Image Analysis Research
- Princeton Graphics and Geometry Group
- Brown Computer Graphics Group
- GWU Institute of Computer Graphics
- Stanford University Computer Graphics Lab
- Georgia Tech GVU Center
- Computer Graphics at University of Washington
- Caltech Computer Graphics Group
- NYU Visualization Lab
- Computer Graphics at CMU
- Dynamics Graphics Project, University of Toronto
- Computer Graphics at the University of Utah
- MERL: Mitsubishi Electric Research Labs
Graphics Research Links
- Image-Based Rendering Link at UNC
- Spectral Rendering Link at Purdue
- Nature Rendering Link at Duke
- Human Hair Modelling, Rendering and Animation Links by Tae-Yong at USC
- Simon Rusinkiewicz's BRDF Research page
- Fabrice Neyret's Texture Bookmarks
- Jos Stam's Diffraction Shaders Page
- NIST Workshop on Appearance
- Stanford 348b Rendering Competition Website
- Stanford 348b Rendering Competition Grand Prize: Rendering Butterfiles Website
- Quantified interference and diffraction in single Morpho butterfly scales
- Interesting Web Publication of Structural Colors (butterflies, sea shells, peacocks, beetles, bubbles)
- Interesting Web Publication of other causes of intereference
Graphics Companies New England
- Kaon Interactive Inc.
- ATI Technologies Inc.
- Immersive Technologies Inc.
- Zeosis Inc.
- Stainless Steel Studios
Links to Help Learn Graphics
Other Graphics Links Pages
Interesting Graphics Classes/Seminars on the Web
- Modeling, Measuring and Perceiving Appearance, Winter 2005 by Pat Hanrahan and Hendrik Lensch (Stanford)
- Appearance Modeling Class at CMU, Fall 2005 by Srinivasa Narasimhan
- Advanced Appearance Modeling Class at UCSD, Fall 2004 by Henrik Jensen
- Real-Time High Quality Rendering Class at Columbia, Fall 2004 by Ravi Ramamoorthi
- Advanced Graphics Rendering and Appearance Modeling Class at UIUC, Spring 2003 by Yizhou Yu
- Appearance Modelling Class at Columbia, Fall 2002 by Ravi Ramamoorthi
- Appearance Modelling Class at Stanford, Fall 2000 by Pat Hanrahan
- Part II of Appearance Modelling Class at Berkeley, Spring 2001 by Pat Hanrahan
- Mathematics for Computer Graphics Class at Stanford, Fall 1997 by Pat Hanrahan
- Digital Photography and Imaged-Based Rendering Seminar by Marc Levoy
- Real-Time Graphics Architectures, Algorithms, and Programming System at UT Austin by Bill Mark
- Real-Time Rendering at U. of Virginia by David Luebke
- Real-Time Graphics Architectures by Pat Hanrahan and Kurt Akeley
- Real-time Graphics and Procedural Techniques at UMBC by David Ebert
- Fall '95 Version of cs348 (Note color and spectral rendering references in outline)
- BRDF Course at Utah
- Image-based Rendering Course at CMU, Fall 1999, by Paul Heckbert
- Advanced CG Class website at WPI (taught by Matt Ward)
- Image Synthesis Class at MIT with tilt towards Appearance Modelling (by Julie Dorsey, 97)
- Advanced Image-Based Vision and Rendering, E6998-03, at Columbia, spring 2002 (by Peter N. Belhumeur)
- SIGGRAPH 1996 Course Notes on Wavelets by Peter Schroder and Wims Sweldens
Interesting Graphics Talks on the Web
- Simulating Natural Materials (especially hair and skin)by Pat Hanrahan
- Light Field Rendering SIGGRAPH talk Pat Hanrahan
- Jos Stam's Diffraction Shaders' Talk at SIGGRAPH '99
- OpenLF: Intel Open source software for Light Field Mapping (LFM)
- Nvidia Handhald SDK
- Nvidia SDKs and tools page