TY  - JOUR
ID  - Schumm_Unobtrusive_Physiological_Monitoring_in_an_Airplane_Seat_2009
T1  - Unobtrusive Physiological Monitoring in an Airplane Seat
A1  - Schumm, Johannes
A1  - Setz, Cornelia
A1  - Bächlin, Marc
A1  - Bächler, Marcel
A1  - Arnrich, Bert
A1  - Tröster, Gerhard
JA  - Personal and Ubiquitous Computing
Y1  - 2010
VL  - 14
IS  - 6
SP  - 541
EP  - 550
UR  - http://www.springerlink.com/content/18767j2225610up3/
M2  - doi: 10.1007/s00779-009-0272-1
KW  - arnrich_physio
KW  - SEAT
N2  - Air travel has become the preferred mode of longdistance transportation for most of the worlds travelers. People of every age group and health status are traveling by airplane and thus the airplane has become part of our environment in which people with health-related limitations need assistive support. Since the main interaction point between a passenger and the airplane is the seat, this work presents a smart airplane seat for measuring health-related signals of a passenger. We describe the design, implementation and testing of a multimodal sensor system integrated into the seat. The presented system is able to measure physiological signals such as electrocardiogram, electrodermal activity, skin temperature and respiration. We show how the design of the smart seat system is influenced by the trade-off between comfort and signal quality, i.e. incorporating unobtrusive sensors and dealing with erroneous signals. Artifact detection through sensor fusion is presented and the working principle is shown with a feasibility study, in which normal passenger activities were performed. Based on the presented method, we are able to identify signal regions in which the accuracies for detecting the heart- and respiration-rate are 88% and 82% respectively compared to 40% and 76% without any artifact removal.
ER  -