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.