The SPAN lab develops inventions for wireless networks which improve their security, reliability, self-awareness, and sensing capabilities. Research applies statistical signal processing, networking, and radio propagation techniques. The innovations have application in localization and tracking, secret key generation for wireless networks, network design and deployment, modeling and analysis. The lab, directed by Neal Patwari, is a combination of the efforts of several graduate and undergraduate researchers.
Neal Patwari presented the plenary talk, "One decade of sensorless sensing: Wireless networks as human context sensors", at the IEEE Signal Processing and Wireless Communications (SPAWC) conference in Stockholm, Sweden. Slides from his talk are now posted.
Khanh Nguyen, a summer intern at the SPAN Lab, created and tested a system to water your lawn after your dog has done its business on it, to prevent future urine burn spots. You can now watch a video on her system, called "Piss Off! The System".
Congratulations to Kyeong T. Min, whose poster was awarded "Best In Session" at the 2015 American Industrial Hygiene Association Conference & Expo, held here in Salt Lake City, Utah. Kyeong designed and built the "Utah Modified Dylos Sensor", an air quality sensing server and Android app which form a unified sensing, wireless interface, database, and user interface for use in human subjects air quality sensing research. The poster is titled "Development of a low-cost environmental sensor with remote real-time monitoring of indoor particulate, temperature and relative humidity", and its authors are Ben S Cryder, Darrah K Sleeth, Yue Zhang, Kyeong T Min, Chong Zhang, and Scott C Collingwood.
The NSF has funded our research project "Advanced Radio Frequency (RF)-based Environmental Monitoring Systems" to be performed collaboratively at Georgia Tech and the University of Utah. Prof. Neal Patwari and the SPAN lab will conduct the research at the University of Utah, and Prof. Gregory D. Durgin and the Propagation Lab will conduct the research at Georgia Tech.
The award is an investigation in the science of temporal fading as it is useful for new radio frequency (RF) environmental monitoring (REM) systems. Temporal fading is the change in the radio channel between a transmitter and receiver, for example, a fluctuating "number of bars" or signal strength between a laptop and access point, even when neither are moving. Past research in temporal fading treats it only as a problem that degrades wireless communication. Emerging research has shown that temporal fading can be exploited to locate, automatically recognize the activity or gesture, and monitor the health of people in the vicinity of a wireless network. These localization, recognition, and monitoring systems are called RF-based environment monitoring (REM) systems. Improvements in REM technologies could aid in the design of police and search-and-rescue systems that locate breathing people in dangerous or collapsed buildings. As another example, REM technologies deployed in a home could detect falls and detect signs of cognitive or physical decline as part of an aging-in-place sensor system. REM technologies could allow people to diagnose disordered sleeping via wireless devices (e.g., cell phones) left on their bedside. Finally, REM systems could revolutionize indoor and outdoor security systems, helping to protect areas and buildings which are difficult to monitor with existing technologies. To date, no fundamental research in temporal fading mechanisms has been performed to support REM applications. Research in this project considers temporal fading and seeks to establish how it is affected by the movements of people in the environment so that it can be exploited for environmental monitoring.
Congratulations to Ossi Kaltiokallio, Hüseyin Yigitler, Riku Jäntti, and Neal Patwari! Their paper, "Catch a Breath: Non-invasive Respiration Rate Monitoring via Wireless Communication", was awarded the Best Paper Award at the 13th IEEE/ACM International Conference on Information Processing in Sensor Networks (IPSN 2014), held April 15-17 in Berlin, Germany. Ossi Kaltiokallio, Hüseyin Yigitler, and Riku Jäntti are affiliated with Aalto University in Espoo, Finland. Ossi was a visiting researcher in the SPAN lab in 2012.
Neal Patwari was the keynote speaker at the 2014 IEEE RFID Conference in Orlando, Florida, on April 10, 2014. He presented a talk, "Tracking Without Tags: Environmental Awareness Using RF Tomography", including a demonstration of the types of changes in signal strength experienced on a static link when a person walks through the link. The talk slides are now available.
Brad Mager presents his paper, "Fall Detection Using RF Sensor Networks", at the 24th Annual IEEE Symposium on Personal, Indoor, and Mobile Communications Conference (PIMRC '13) in London, on Tuesday September 3. His paper is the first presented paper in the "Event Sensing and Localization" Session at 11am - 12:40pm. His paper is co-authored by Neal Patwari and Maurizio Bocca.
Merrick McCracken presents his paper, Joint ultra-wideband and signal strength-based through-building tracking for tactical operations, at the 2013 IEEE Intl. Conf. on Sensing, Communications, and Networking, on Wednesday, June 26, in New Orleans. His paper, co-authored by Maurizio Bocca and Neal Patwari, explores combining ultra-wideband impulse radar with radio tomography in order to achieve accurate localization without having sensors on all sides of an area to be covered. The idea is particularly motivated by emergency response applications.
Brad Mager had a great night at the ECE Technical Open House Award Banquet. He was awarded "Outstanding Computer Engineering Student", and also awarded one of six "Best Presentation" awards for his talk on his senior thesis, "Fall Detection Using RF Sensor Networks". His talk was also mentioned by the keynote speaker and distinguished alumnus award winner Dr. John Sutherland as an example of useful research into the "internet of things". Congrats to Brad on his awards!
Dr. Yang Zhao presents Thursday, April 11, at the 12th ACM/IEEE International Conference on Information Processing in Sensor Networks in Philadelphia. Yang's talk is on his paper, Radio Tomographic Imaging and Tracking of Stationary and Moving People via Kernel Distance.