Evaluating an Accelerometer-based System for Spine Shape Monitoring

  • In western societies a huge percentage of the population is suffering from some kind of back pain in their life. There are several approaches addressing back pain by postural modications. Postural training and activity can be tracked by various wearable devices most of which are based on accelerometers. We present research on the accuracy of accelerometer-based posture measurements. To this end, we took simultaneous recordings of an optical motion capture system and a system consisting of five accelerometers in three different settings: On a test robot, in a template, and on actual human backs. We compare the accelerometer-based spine curve reconstruction against the motion capture data.

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Metadaten
Document Type:Preprint
Language:English
Parent Title (English):Computational Science and Its Applications - ICCSA 2018, Melbourne, Australia, July 2018
URL:http://cg.cs.uni-bonn.de/de/publikationen/paper-details/stollenwerk-2018a/
Publication year:2018
Submission status:accepted for publication
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/05/16

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