Wearable Sensors for Pervasive Healthcare Management

Author(s)
Olguin Olguin, Daniel; Gloor, Peter A.
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Abstract
We show that it is possible to identify individual personality traits and measure group performance in a Post-anesthesia Care Unit (PACU) using wearable sensors.We instrumented a group of 67 nurses working in the PACU of a Boston area hospital with sociometric badges capable of measuring physical activity, speech activity, face-to-face interaction, and physical proximity. Using the data collected with these sensors we were able to estimate the daily average length of stay (LOS) and number of delays.
Date issued
2009-08
URI
http://hdl.handle.net/1721.1/60066
Department
Massachusetts Institute of Technology. Center for Collective Intelligence; Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology); Sloan School of Management
Journal
3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009
Citation
Olguin Olguin, Daniel, Peter A. Gloor and Alex (Sandy) Pentland. “Wearable sensors for pervasive healthcare management.” Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on. 2009. 1-4. ©2009 IEEE.
Version: Final published version
ISBN
978-963-9799-42-4
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