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Skin Temperature Measurement based on Human Skeleton Extraction and Infra-red Thermography - An Application of Sensor Fusion Methods in the Field of Physical Training

Topics: Device Calibration, Characterization and Modeling; Medical Image Applications; Object Detection and Localization; Shape Representation and Matching

Authors: Julia Richter ; Christian Wiede ; Sascha Kaden ; Martin Weigert and Gangolf Hirtz

Affiliation: Chemnitz University of Technology, Germany

Keyword(s): Infra-red Thermography, Skin Temperature, Sensor Fusion, Human Skeleton, Physical Training.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image and Video Analysis ; Image Formation and Preprocessing ; Medical Image Applications ; Shape Representation and Matching

Abstract: Skin temperature measurements play a vital role in the diagnosis of diseases. This topic is also increasingly investigated for applications in the field of physical training. One of the limitations of state-of-the-art methods is the manual, time-consuming way to measure the temperature. Moreover, extant literature gives only little insight into the skin temperature behaviour after the training. The aim of this study was to design an automatic method to measure the skin temperature during and after training sessions for the biceps brachii. For this purpose, we fused thermal images and skeleton data to locate this muscle. We could successfully demonstrate the working principle and observed a temperature increase even several minutes after the end of the training. This study therefore contributes to the automation of skin temperature measurements. A transfer of our approach could be beneficial for other application fields, such as medical diagnostics, as well.

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Paper citation in several formats:
Richter, J.; Wiede, C.; Kaden, S.; Weigert, M. and Hirtz, G. (2017). Skin Temperature Measurement based on Human Skeleton Extraction and Infra-red Thermography - An Application of Sensor Fusion Methods in the Field of Physical Training. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 59-66. DOI: 10.5220/0006095100590066

@conference{visapp17,
author={Julia Richter. and Christian Wiede. and Sascha Kaden. and Martin Weigert. and Gangolf Hirtz.},
title={Skin Temperature Measurement based on Human Skeleton Extraction and Infra-red Thermography - An Application of Sensor Fusion Methods in the Field of Physical Training},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={59-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006095100590066},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - Skin Temperature Measurement based on Human Skeleton Extraction and Infra-red Thermography - An Application of Sensor Fusion Methods in the Field of Physical Training
SN - 978-989-758-227-1
IS - 2184-4321
AU - Richter, J.
AU - Wiede, C.
AU - Kaden, S.
AU - Weigert, M.
AU - Hirtz, G.
PY - 2017
SP - 59
EP - 66
DO - 10.5220/0006095100590066
PB - SciTePress