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Automatic recognition of fear-avoidance behavior in chronic pain physical rehabilitation

Published: 20 May 2014 Publication History

Abstract

Physical activity is beneficial in chronic pain rehabilitation. However, due to psychological anxieties about pain and the percevied risk of injury, physical activity is often avoided by people with chronic pain. This avoidance is expressed through self protective body movement aimed at avoiding strain, particularly in painful areas. The detection of protective behaviour is crucial for effective rehabilitation advice and to enable a more normal lifestyle. Current technology to motivate physical activity in rehabilitation contexts does not address these psychological barriers. In this paper, we investigate the automatic recognition of a specific form of protective behaviour, guarding, common in people with chronic lower back pain. We trained ensembles of decision trees, Random Forests, on posture and velocity based features from motion capture and electromyographic data. Results show overall out of bag F1-classification scores of 0.81 and 0.73 for sitting to standing and one leg stand exercises respectively.

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Cited By

View all
  • (2021)Chronic Pain Protective Behavior Detection with Deep LearningACM Transactions on Computing for Healthcare10.1145/34490682:3(1-24)Online publication date: 15-Jul-2021
  • (2019)Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG dataProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347728(225-230)Online publication date: 9-Sep-2019
  • (2017)No Game, No Pain?Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play10.1145/3130859.3131310(231-237)Online publication date: 15-Oct-2017
  • Show More Cited By

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Information & Contributors

Information

Published In

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PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
May 2014
459 pages
ISBN:9781631900112

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Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 20 May 2014

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Author Tags

  1. body movement
  2. electromyography
  3. emotion
  4. machine learning
  5. motion capture
  6. pain rehabilitation technology
  7. physical rehabilitation
  8. protective behaviour

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PervasiveHealth '14

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Overall Acceptance Rate 55 of 116 submissions, 47%

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Cited By

View all
  • (2021)Chronic Pain Protective Behavior Detection with Deep LearningACM Transactions on Computing for Healthcare10.1145/34490682:3(1-24)Online publication date: 15-Jul-2021
  • (2019)Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG dataProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347728(225-230)Online publication date: 9-Sep-2019
  • (2017)No Game, No Pain?Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play10.1145/3130859.3131310(231-237)Online publication date: 15-Oct-2017
  • (2015)Roles for personal informatics in chronic painProceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare10.5555/2826165.2826189(161-168)Online publication date: 20-May-2015
  • (2014)Emotion Expression and Conversation Assessment in First Acquaintance DialoguesProceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems10.1145/2668056.2668061(13-18)Online publication date: 16-Nov-2014

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