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SUMMARY:Does your smartwatch miss a (heart) beat? - Investigation of weara
 bles for affective research - Katrin Hänsel (QMUL)
DTSTART:20171109T150000Z
DTEND:20171109T160000Z
UID:TALK87451@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:Modern fitness trackers provide easy means to acquire physiolo
 gical sensing data of users (e.g. as heart rate) throughout the day. This 
 data has huge potential to be used in novel applications or research conte
 xts\; however\, their suitability is not well understood.\nIn this talk\, 
 I will discuss our results on the data quality of 3 fitness wearables unde
 r different physical activity and stressful conditions. The findings indic
 ate\, that performance of the devices varies amongst different conditions 
 and is mostly influenced by movement. Still\, we believe there are applica
 tions where this tradeoff is outweighed by the benefits of those small dev
 ices\; hence\, I will further present and discuss our suggestions on the s
 uitability of different wearable technologies in research scenarios depend
 ing on the requirements and nature of the studies. The last part of the ta
 lk will focus on my future research directions on applying these findings 
 in the wild by investigating how we can use data from smartwatches to pred
 ict how people feel.\n\nBio:\nKatrin is a PhD student in the third year at
  the Queen Mary University London. Her research focuses on the use of smar
 t wearable sensing to improve health and wellbeing of individuals. After g
 raduating with a M.Sc. in Computer Science in 2012\, she worked two years 
 as a research associate at the University of Applied Sciences Mittweida. T
 his work was focused on the development of novel approaches for software m
 odelling visualisations using 3D and virtual reality technologies. She is 
 especially interested in using ubiquitous technologies like smartphones an
 d wearables to detect emotions and influencing factors in everyday life se
 ttings. Her general interest lie in the field of emerging and social media
 ting technologies and human factors. 
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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