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Pedestrian motion state classification using pressure sensors

 
: Ghimire, Birendra; Nickel, Christian; Seitz, Jochen

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Instrumentation and Measurement Society:
International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 : 4-7 October 2016, Madrid, Spain
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-2425-4
ISBN: 978-1-5090-2424-7
ISBN: 978-1-5090-2426-1
6 S.
International Conference on Indoor Positioning and Indoor Navigation (IPIN) <7, 2016, Madrid>
Englisch
Konferenzbeitrag
Fraunhofer IIS ()
navigation; Indoor Navigation

Abstract
This paper demonstrates a novel approach for motion classification and analysis using pressure sensors worn by a person. The pressure signal is analysed to search for features corresponding to the motion states, and matched against typical human walking pattern. A prototype system is developed which provides motion classification results in real-time. The motion classification results consists of the number of steps taken by the participant together with the corresponding motion state. The system distinguishes the states associated with a person travelling on a lift, walking on stairs, walking on a flat ground and rest. Data from several participants are collected in a measurement campaign using pressure sensors only, which shows a precision rate of over 90% and a recall rate between 89% and 96%, for the states associated with the movement of participant.

: http://publica.fraunhofer.de/dokumente/N-434567.html