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SUMMARY:Unobtrusive Smartphone-based Mobile Health Systems: Experiences wi
 th Biological Rhythm Monitoring  - Guoliang Xing (Michigan State Universit
 y)
DTSTART:20150716T140000Z
DTEND:20150716T150000Z
UID:TALK59761@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:A biological rhythm is any cyclic change in the level of a bod
 ily chemical or function. Biological rhythms play a central role in mainta
 ining our daily productivity and well-being\, and can be found in almost e
 very essential human body function\, including sleep/wakefulness\, respira
 tion\, walking/running\, feeding\, etc. Research has also linked biologica
 l rhythm disruption to serious diseases such as diabetes\, obesity\, or de
 pression. In this talk\, I will describe two novel smartphone systems for 
 personalized\, in-place monitoring of two important human biological rhyth
 ms\, including sleep cycle and running rhythm. \n\nCurrent sleep monitorin
 g systems are often difficult to use and hence limited to sleep clinics\, 
 or invasive to users\, e.g.\, requiring users to wear a device during slee
 p. We have developed iSleep -- a practical smartphone App to monitor an in
 dividual's sleep quality. iSleep uses the built-in microphone to detect th
 e events that are closely related to sleep quality\, including body moveme
 nt\, cough and snore\, and infers quantitative measures of sleep quality. 
 iSleep adopts a lightweight decision-tree-based algorithm to classify vari
 ous events based on carefully selected acoustic features. By providing a f
 ine-grained sleep profile that depicts details of sleep-related events\, i
 Sleep allows the user to track the sleep efficiency over time and relate i
 rregular sleep patterns to possible causes.\n\nResearch has suggested that
  a proper running rhythm -- the coordination between breathing and strides
  -- helps to improve exercise efficiency and postpone fatigue. I will pres
 ent iBreath - the first smartphone-based system for continuous running rhy
 thm monitoring. iBreath is designed to be a convenient and unobtrusive exe
 rcise feedback system\, and only utilizes commodity devices including smar
 tphone and Bluetooth headset. We propose a novel approach that integrates 
 ambient sensing based on accelerometer and microphone and a physiological 
 model called Locomotor Respiratory Coupling (LRC) to obtain reliable runni
 ng rhythm measurement. \n\nLast\, I will briefly discuss several other pro
 jects on Cyber-Physical System (CPS)\, including real-time volcano monitor
 ing\, aquatic monitoring using smartphone-based robotic fish\, and a syste
 m platform for building smartphone-based data-intensive embedded sensing a
 pplications. \n\n \n\nBio: Guoliang Xing is currently an Associate Profess
 or of Computer Science and Engineering at Michigan State University. His r
 esearch interests include mobile health\, Cyber-Physical Systems for susta
 inability\, smartphone systems\, and wireless networking. He received the 
 B.S. degree from Xi’an Jiao Tong University\, China\, in 1998\, and the 
 M.S. and D.Sc. degrees from Washington University in St. Louis\, in 2003 a
 nd 2006\, respectively. His group has developed several mobile health Apps
 \, which won two awards from the Mobile App Competition at MobiCom 2013 an
 d 2014. He is an NSF CAREER Award recipient in 2010. He received two Best 
 Paper Awards and five Best Paper Nominees at ICNP\, IPSN\, PerCom\, and SE
 CON conferences.  \n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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