IT and Health Lab • UC Berkeley

WAVE

WAVE is an API for the Google Android OS which aims to provide easy management of wireless body sensor networks and functions for analyzing body sensor data. With WAVE, users will be able to quickly develop BSN applications for mobile devices using Android OS.

CalFit

CalFit is an Android application for monitoring and encouraging physical activity and fitness by incorporating social networking and competition. It will be released to the public for beta testing in the near future.

SPINE (Signal Processing In Node Environment), developed by Telecom Italia

SPINE, developed by Telecom Italia, is a framework for simple setup and management of wireless sensor networks. SPINE forms the backbone of our sensor network systems, and we are collaborating with Telecom Italia to further its development.

WARD (Wearable Action Recognition Database)

WARD (available for download at the link above), is a benchmark database of 13 common whole-body actions performed by 20 subjects. These actions include walking, sitting, going up stairs, etc. (PLEASE cite our JAISE paper referring to WARD in your publications.)

Conference Papers

Using Persistent Homology to Determine a Human-Data Based Cost for Bipedal Walking, R. Vasudevan, A. Ames, R. Bajcsy, International Federation of Automatic Control, 2011.

Human-Data Based Cost of Bipedal Robitic Walking, A. Ames, R. Vasudevan, R. Bajcsy, Hybrid Systems Computation and Control, 2011, Chicago, IL.

Real-Time 3D Avatars for Tele-rehabilitation in Virtual Reality, G. Kurillo, T. Koritnik, T. Bajd, R. Bajcsy, 18th Medicine Meets Virtual Reality Conference, February 2011, Newport Beach, CA.

Distributed Sensor Perception via Sparse Representation, Allen Yang, Michael Gastpar, Ruzena Bajcsy, and Shankar Sastry, The Proceedings of the IEEE, 2010.

A Wireless Body Sensor Network for the Prevention and Management of Asthma, Edmund Seto, Annarita Giani, Victor Shia, Curtis Wang, Posu Yan, Allen Yang, Michael Jerret, Ruzena Bajcsy, IEEE Symposium on Industrial Embedded Systems (SIES), 2009.

A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors, Eric Guenterberg, Allen Yang, Hassan Ghasemzadeh, Roozbeh Jafari, Ruzena Bajcsy, and Shankar Sastry, IEEE Transactions on Information Technology in BioMedicine, 2009.

WARD: A Wearable Action Recognition Database, Allen Yang, Philip Kuryloski, Ruzena Bajcsy, CHI Workshop, 2009.

DexterNet: An open platform for heterogeneous body sensor networks and its applications, Philip Kuryloski, Annarita Giani, Roberta Giannantonio, Katherine Gilani, Ville-Pekka Seppa, Edmund Seto, Raffaele Gravina, Victor Shia, Curtis Wang, Posu Yan, Allen Yang, Jari Hyttinen, Shankar Sastry, Stephen Wicker, and Ruzena Bajcsy, Body Sensor Networks Workshop, 2009.

Distributed Recognition of Human Actions Using Wearable Motion Sensor Networks, Allen Yang, Roozbeh Jarafi, Shankar Sastry, and Ruzena Bajcsy, JAISE, 2009.

Distributed segmentation and classification of human actions using a wearable motion sensor network, Allen Yang, Roozbeh Jarafi, Philip Kuryloski, Sameer Iyengar, Shankar Sastry, and Ruzena Bajcsy, Workshop on Human Communicative Behavior Analysis, CVPR 2008.

CareNet: An Integrated Wireless Sensor Networking Environment for Remote Healthcare, Yuan Xue, Stephen Wicker, Philip Kuryloski, Shanshan Jiang, Roozbeh Jafari, Ruzena Bajcsy, Yanchuan Cao, Sameer Iyengar, ACM International Conference on Body Area Networks, March 2008, Tempe, AZ.

A Segmentation Technique Based on Standard Deviation in Body Sensor Networks, Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari, Ruzena Bajcsy, IEEE Dallas Engineering in Medicine and Biology Workshop (Dallas-EMBS), November 2007, Dallas, TX.

Platform Design for Health-care Monitoring Applications, Roozbeh Jafari, Ruzena Bajcsy, Steven Glaser, Bruce Gnade, Marco Sgroi, Shankar Sastry, Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability, June 2007, Boston, MA.

A Resource Optimized Physical Movement Monitoring Scheme for Environmental and on-Body Sensor Networks, Antti Vehkaoja, Mari Zakrzewski, Jukka Lekkala, Sameer Iyengar, Ruzena Bajcsy, Steven Glaser, Shankar Sastry, Roozbeh JafariHealthNetÕ07, June 11, 2007, San Juan, Puerto Rico, USA.

Ubiquitous Systems for Physical Movement Monitoring: Towards Understanding Collaborative Signal Processing, Filippo Tempia, Sameer Iyengar, Antti Vehkaoja, Victor Shia, Roozbeh Jafari, Ruzena Bajcsy, Steven Glaser, Shankar Sastry

Physical Activity Monitoring for Assisted Living at Home. Roozbeh Jafari, Wenchao Li, Ruzena Bajcsy, Steven Glaser, Shankar Sastry, International Workshop on Wearable and Implantable Body Sensor Networks (BSN), March 2007, Aachen, Germany.

Information Technology for Assisted Living at Home: building a wireless infrastructure for assisted living, J. Mikael Eklund, Thomas Riisgaard Hansen, Jonathan Sprinkle and Shankar Sastry. EMBC 2005, Shanghai China, September 1-4, 2005.

Using smart sensors and a camera phone to detect and verify the fall of elderly persons, Thomas Riisgaard Hansen, J. Mikael Eklund, Jonathan Sprinkle, Ruzena Bajcsy and Shankar Sastry. EMBEC 2005, Prague, November 20-25, 2005.

Workshop and Conference Presentations

Reliability in Light-Weight Medical Monitoring Platforms. Roozbeh Jafari, Ani Nahapetian, V. Reggie Edgerton, Ruzena Bajcsy, Majid Sarrafzadeh, International Workshop on Wearable and Implantable Body Sensor Networks (BSN), March 2007, Aachen, Germany.

Engineering to the Rescue, Steve Glaser. CITRIS.

"ITALH: Information Technology for Assisted Living at Home: building a wireless infrastructure for assisted living," Keynote address by Shankar Sastry at High Confidence Medical Device Software and Systems (HCMDSS) Workshop, June 2 - 3, 2005, Philadelphia, PA. [Available here]

Connections III, Conference organized by CITRIS and the ITALH Project. Berkeley CA, 10 August 2005. [Link to CITRIS site]

Internal Reports

Thomas Riisgaard Hansen, visiting doctoral student from Aarhus University, Denmark: Information Technology for Assisted Living at Home Ñ Working at Berkeley, August 2005.

Garrett Brown, visiting undergraduate student from University of Michigan: An Accelerometer Based Fall Detector: Development, Experimentation, and Analysis, July 2005.