Network Data Services for Exposure Biology Studies in Natural Environments
FieldStream (NetSE: Large: Collaborative Research: FieldStream: Network Data Services for Exposure Biology Studies in Natural Environments) is a collaborative project funded by the National Science Foundation and involving researchers from Carnegie Mellon University, Georgia Institute of Technology, University of California at Los Angeles, University of Massachusetts at Amherst, and University of Memphis. The project is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Obtaining physiological/behavioral data from human subjects in their natural environments is essential to conducting ecologically valid social and behavioral research. While several body area wireless sensor network (BAWSN) systems exist today for physiological data collection, their use has been restricted to controlled settings (laboratories, driving/flying scenarios, etc.); significant noise, motion artifacts, and existence of other uncontrollable confounding factors are the often cited reasons for not using physiological measurements from natural environments. In order to provide scientifically valid data from natural environments, a BAWSN system must meet several unique requirements (1) Stringent data quality without sensing redundancy, (2) Personalization to account for wide between person differences in physiological measurements, and (3) Real-time inferencing to allow for subject confirmation and timely intervention.
In this project, which started in September 2009, a multidisciplinary team of researchers spanning various computing disciplines and behavioral sciences is developing a general purpose framework called FieldStream that will make it possible for BAWSN systems to provide long term unattended collection of objective, continuous, and reliable physiological/behavioral data from natural environments that can be used for conducting population based scientific studies. To help validate the assumptions, establish the feasibility of developed solutions, and to uncover new requirements, FieldStream technology will be incorporated in studies being conducted by the NIH sponsored AutoSense effort at Memphis and the NSF sponsored Urban Sensing effort at UCLA. By making it possible to obtain scientifically valid objective data from the field, FieldStream promises to help solve several behavioral problems of critical importance to human society that have remained unanswered for lack of such data.
Main Research Area:
Mobile and Wireless Health
- Demystifying Privacy In Sensory Data: A QoI based approach
Supriyo Chakraborty, Haksoo Choi, and Mani B. Srivastava.
The 3rd International Workshop on Information Quality and Quality of Service for Pervasive Computing, March 2011. [ Details ]
- Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
Zainul M. Charbiwala, Vaibhav Karkare, Sarah Gibson, Dejan Markovic, and Mani B. Srivastava.
Proceedings of the International Conference on Body Sensor Networks (BSN 2011), May 2011. [ Details ]
- Privacy Risks Emerging from the Adoption of Innocuous Wearable Sensors in the Mobile Environment
Andrew Raij, Animikh Ghosh, Santosh Kumar, and Mani B. Srivastava.
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, May 2011. [ Details ]
- SensorSafe: a Framework for Privacy-Preserving Management of Personal Sensory Information
Haksoo Choi, Supriyo Chakraborty, Zainul M. Charbiwala, and Mani B. Srivastava.
The 8th VLDB Workshop on Secure Data Management, June 2011. [ Details ]
- Filters That Remember: Duty Cycling Analog Circuits for Long Term Medical Monitoring
Zainul M. Charbiwala, Jonathan Friedman, Benjamin Kuris, and Mani B. Srivastava.
Wireless Health 2011, October 2011. [ Details ]
- Nordic Radio nRF24L01+ Power Characterization
Zainul M. Charbiwala.
July 2011. [ Details ]
- Design and Evaluation of SensorSafe: a Framework for Achieving Behavioral Privacy in Sharing Personal Sensory Information
Haksoo Choi, Supriyo Chakraborty, and Mani B. Srivastava.
The 2nd IEEE International Symposium on Security and Privacy in Internet of Things, June 2012. [ Details ]
- SensorSafe: Privacy-Preserving Sharing of Sensory Information for Medical Studies and Healthcare
Haksoo Choi, Max E. Greenblatt, Zainul M. Charbiwala, Supriyo Chakraborty, and Mani B. Srivastava.
Center for Embedded Networked Sensing (CENS) 8th Annual Research Review, October 2010. [ Details ]
- Balancing Behavioral Privacy and Information Utility in Sensory Data Flows
Supriyo Chakraborty, Zainul M. Charbiwala, Haksoo Choi, Kasturi Rangan Raghavan, and Mani B. Srivastava.
Pervasive and Mobile Computing, June 2012. [ Details ]
- Balancing Value and Risk In Information Sharing Through Obfuscation
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, and Lance Kaplan.
Proceedings of the 5th International Conference on Information Fusion (Fusion 2012), July 2012. [ Details ]
- Mobile Health - Revolutionizing Health via Transdisciplinary Research
Santosh Kumar, Wendy Nilsen, Misha Pavel, and Mani B. Srivastava.
IEEE Computer, January 2013. [ Details ]
- SensorSafe: Framework for Sharing Personal Sensory Information with Privacy
October 2011. [ Details ]
- SensorSafe: Framework for Privacy-Preserving Management of Personal Sensory Information
May 2011. [ Details ]
- Efficient Context Inferences and Privacy-Aware Sharing of Sensory Information from Mobile Platforms
Haksoo Choi, Wentao Ouyang, Mani B. Srivastava, Mahbubur Rahman, and Santosh Kumar.
April 2014. [ Details ]