Evaluating an Accelerometer-based System for Spine Shape Monitoring

Katharina Stollenwerk, Johannes Müllers, Jonas Müller, André Hinkenjann, Björn Krüger
Lecture Notes in Computer Science, Computational Science and Its Applications (ICCSA), Volume 10963, page 740--756 - July 2018
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In western societies a huge percentage of the population suffers from some kind of back pain at least once in their life. There are several approaches addressing back pain by postural modifications. 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 using 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. Results show that tilt values from the accelerometers are captured highly accurate, and the spine curve reconstruction works well.

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BibTex references

  author       = {Stollenwerk, Katharina and M{\"u}llers, Johannes and M{\"u}ller, Jonas and Hinkenjann, Andr{\'e} and Kr{\"u}ger, Bj{\"o}rn},
  title        = {Evaluating an Accelerometer-based System for Spine Shape Monitoring},
  booktitle    = {Lecture Notes in Computer Science, Computational Science and Its Applications (ICCSA)},
  series       = {LNCS},
  volume       = {10963},
  pages        = {740--756},
  month        = {July},
  year         = {2018},
  editor       = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Stankova, Elena and Torre, Carmelo M. and Rocha, Ana Maria A.C. and Taniar, David and Apduhan, Bernady O. and Tarantino, Eufemia and Ryu, Yeonseung},
  publisher    = {Springer International Publishing},
  address      = {Cham},

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» Katharina Stollenwerk
» Jonas Müller
» André Hinkenjann
» Björn Krüger