News & Events
BSN 2009
| Themes | Delivery of Health Care |
|---|---|
| Emphases | Nanotechnology, Networking, Sensors and Embedded Systems |
| Campuses | UC Berkeley, UC Davis, UC Merced, UC Santa Cruz |
- June 3, 2009: 8:00am - June 5, 2009: 4:00pm
- More Information: BSN 2009
- Location: Sutardja Dai Hall, UC Berkeley
BSN 2009 is the sixth workshop following the successful BSN workshops held at Imperial College in London UK (2004, 2005), MIT in Boston USA (2006), RWTH Aachen University in Aachen Germany (2007), and Chinese University in Hong Kong China (2008).
BSN 2009 is jointly hosted by the University of California Centre for Information Technology Research in the Interests of Society (CITRIS) and the Centre for Pervasive Sensing at Imperial College London.
Body sensor networks (BSN) technology has gained tremendous international interest in recent years from researchers both in academia and industry. With the development of innovative wearable/wireless/implantable biosensors, the applications for BSNs extend from in-vivo monitoring and intervention to everyday healthcare, as well as fitness, sport and security. This workshop will address the fast-growing BSN research field, and offers participants a unique forum to discuss the key issues and innovative solutions in current BSN research. The conference will feature a number of invited lectures by leading academic researchers and industrial experts and include a showcase and demonstration of healthcare and other technologies.
Areas of interest are:
- Networking, security and wireless communications
- Smart fabrics and wearables
- Lower power electronics, power sources and energy harvesting
- BSN architecture and platforms
- Medical applications
- Sport and leisure applications
- Sensor technology and biocompatibility
- Home monitoring and assisted living applications
Photos
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Photos by Aaron Walburg
Presentations
Societal Scale Cyber-Physical Systems
- Shankar Sastry, Dean of the College of Engineering, UC Berkeley
The California Telehealth Network: Opportunities for Body Sensor Networks in Telehealth
- Thomas Nesbitt, Executive Director for Telehealth Services for the California Center for Connected Health
Wearable Sensing for Dynamic Management of Dense Ubiquitous Media
- M. Laibowitz, N.W. Gong, J. Paradiso, Responsive Environments Group, MIT Media Lab, USA
BSN Simulator: Optimizing Application Using System Level Simulation
- I. Cutcutache, TTN. Dang, W.K. Leong et al. National University of Singapore, Singapore
Towards Self-Healing in Wireless Sensor Networks
- T. Bourdenas, M. Sloman, Department of Computing, Imperial College London, UK
A Simulation Environment for Subject-Specific Radio Channel Modeling in Wireless Body Sensor Networks
- Y.Zhao, A. Sani, Y.Hao, School of Elec. Eng. and Comp. Sci., Queen Mary, University of London, UK
Technologies for an Autonomous Wireless Home Healthcare System
- C. Ho, M. Mark, M. Koplow et al., Material Science and Engineering, University of California Berkeley, USA
Inter-User Interference in Body Sensor Networks: Preliminary Investigation and an Infrastructure-Based Solution
- B. de Silva, A. Natarajan, M. Motani, Dept. of Elec. & Comp. Eng., National University of Singapore
Wireless Propagation and Coexistence of Medical Body Sensor Networks for Ambulatory Patient Monitoring
- D.M. Davenport, B. Deb, F. J. Ross, GE Global Research, USA
Accurate Respiration Measurement for Body Sensor Networks (Invited Talk 1)
- Ville-Pekka Seppä, Tampere University of Technology, Finland
Bayesian Analysis of Sub-Plantar Ground Reaction Force with BSN
- B. Lo, J. Pansiot, G.Z. Yang, Department of Computing, Imperial College London, UK
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information
- Q. Li, J.A. Stankovic, M. Hanson et al., University of Virginia, USA
An Ultra Low Power Pulse Oximeter Sensor Based On Compressed Sensing
- P.K. Baheti, H. Garudadri, Qualcomm Inc., USA
The Design and Analysis of a Real-time, Continuous Arousal Monitor,
- B. Grundlehner, L. Brown, J. Penders et al., Holst Centre / IMEC-NL, The Netherlands
Smart Jacket Design for Neonatal Monitoring with Wearable Sensors
- S. Bouwstra, W. Chen, L. Feijs et al., Department of Industrial Design, Eindhoven University of Technology, The Netherlands
Analysis of Heart Rate Variability with an In-Ear Micro-Optic Sensor in View of Motion Artifacts
- T. Wartzek, S. Vogel, T. Hennig et al., Medical Information Technology, RWTH Aachen, Germany
Textile-Based Wearable Sensors for Assisting Sports Performance
- S.Coyle, N. Moyna, D. Diamond, The Centre for Sensor Web Technologies, National Centre for Sensor Research, Dublin City University, Ireland
Thermoelectric and Hybrid Generators in Wearable Devices and Clothes
- V. Leonov, R.J.M. Vullers, C. Van Hoof, IMEC, Belgium
Every Body on the Net
- Donald Jones, Vice President, Business Development, Health & Life Sciences, Qualcomm Inc.
Detecting Walking Gait Impairment with an Ear-worn Sensor
- L. Atallah, O. Aziz, B. Lo et al., Department of Computing, Imperial College London, UK
Neural Network Gait Classification for On-Body Inertial Sensors
- M.Hanson, H.C.Powell Jr., A.T. Barth et al., Department of Electrical and Computer Engineering, University of Virginia, USA
Classification of Physical Interactions between Two Subjects
- R. Bajcsy, A. Borri, M. Di Benedetto et al., Dept. of Elec. Eng. and Comp. Sci., University of California at Berkeley, USA
A Battery-Free Tag for Wireless Monitoring of Heart Sounds
- S. Mandal, L. Turicchia, R. Sarpeshkar, Dept. of Electrical Engineering & Computer Science, MIT, USA
MEMS Energy Harvesting Powered Wireless Biometric Sensor
- C. He, A. Arora, M.E. Kiziroglou et al., Imperial College London, UK
The Berkeley Tricorder: Ambulatory Health Monitoring
- R. Naima, J. Canny, Berkeley Institute of Design, University of California, Berkeley, USA
Optimizing Interval Training Protocols Using Data Mining Decision Trees
- M. Suh, M. Rofouei, A. Nahapetian et al., Computer Science Department, University of California, Los Angeles, USA
Minimizing Loss-Induced Errors in Real Time Wireless Sensing by Avoiding Data Dependency
- A.D. Young, M.J. Ling, Institute for Computing Systems Architecture, School of Informatics, University of Edinburgh, UK
Evaluating the Effect of Local Variations in Visually-Similar Motions on the Clustering of Body Sensor Features
- G.N. Pradhan, B. Prabhakaran, School of Computing and Informatics, Arizona State University, USA
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
- E. Guenterberg, H. Ghasemzadeh, R. Jafari, ESSP Lab, Department of Electrical Engineering and Computer Science, University of Texas at Dallas, USA