Posture Classification based on a Spine Shape Monitoring System

Icxa Khandelwal, Katharina Stollenwerk, Björn Krüger, Andreas Weber
Lecture Notes in Computer Science, Computational Science and Its Applications (ICCSA), Volume 11624, page 494--509 - July 2019
Download the publication : KSKW19_preprint.pdf [4.4Mo]  

Abstract

Lower back pain is one of the leading causes for musculoskeletal disability throughout the world. A large percentage of the population suffers from lower back pain at some point in their life. One noninvasive approach to reduce back pain is postural modification which can be learned through training. In this context, wearables are becoming more and more prominent since they are capable of providing feedback about the user's posture in real-time. Optimal, healthy posture depends on the position (sitting, standing, hinging) the user is in. Meaningful feedback needs to adapt to the current position and, in the best case, identify the position automatically to minimize necessary interactions from the user. In this work, we present results of classifying the positions of users based on the readings of the Gokhale SpineTracker device. We computed various features and evaluated the performance of K-Nearest Neighbors, Extra Trees, Artificial Neural Networks and AdaBoost for global inter-subject classifification as well as for personalized subject specifific classification.

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BibTex references

@InProceedings{KSKW19,
  author       = {Khandelwal, Icxa and Stollenwerk, Katharina and Kr{\"u}ger, Bj{\"o}rn and Weber, Andreas},
  title        = {Posture Classification based on a Spine Shape Monitoring System},
  booktitle    = {Lecture Notes in Computer Science, Computational Science and Its Applications (ICCSA)},
  series       = {LNCS},
  volume       = {11624},
  pages        = {494--509},
  month        = {July},
  year         = {2019},
  editor       = {Misra, Sanjay and Gervasi, Osvaldo and Murgante, Beniamino and Stankova, Elena and Korkhov, Vladimir and Torre, Carmelo and Rocha, Ana Maria A.C. and Taniar, David and Apduhan, Bernady O. and Tarantino, Eufemia},
  publisher    = {Springer International Publishing},
  address      = {Cham},
}

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» Katharina Stollenwerk
» Björn Krüger