Abstract
Cardiopulmonary Resuscitation (CPR) training is a crucial procedure to reduce the decease from cardiac arrest in pre–hospital situation. Due to the importance of CPR its knowledge is required not only by professions prescribing CPR certification such as fire fighter, life guard, police or daycare, but also by laypersons. To learn CPR skill, practice is highly recommended and 3D simulators with effective interaction tools are one of the best options to practice CPR anywhere and anytime. In this paper, we present a pilot study in developing a Kinect-based system focusing on two key parameters of the CPR procedure: the chest compression rate and correct arm pose, implemented in our existing CPR training system, LIfe Support Simulation Application (LISSA). Our system falls into the category of markerless tracking using commercial depth–cameras, making the proposed method flexible and economic. We also present a comparison with different CPR feedback systems with regard to the chest compression rate and correct arm pose.
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Wattanasoontorn, V., Magdics, M., Boada, I., Sbert, M. (2013). A Kinect-Based System for Cardiopulmonary Resuscitation Simulation: A Pilot Study. In: Ma, M., Oliveira, M.F., Petersen, S., Hauge, J.B. (eds) Serious Games Development and Applications. SGDA 2013. Lecture Notes in Computer Science, vol 8101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40790-1_5
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DOI: https://doi.org/10.1007/978-3-642-40790-1_5
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