A Virtual CPR (Cardio-Pulmonary Resuscitation) Learning System Using Motion Capture Device

Abstract

The general content of CPR (Cardio-Pulmonary Resuscitation) includes chest compression and electrical shock by an AED (Automated External Defibrillator). In order to disperse CPR, we have developed a virtual CPR learning system that includes patient, an AED and chest compression simulation. Our virtual CPR is implemented using Unity 5.4.1 game engine and a Leap Motion motion capture device. The trainee can move ‘virtual’ hand to operate ‘virtual’ AED and compress chest. Our CPR scenarios include the phases of booting the AED, pasting electrode pads on appropriate position of the virtual patient’s chest, waiting for ECG analysis, electrical shock and chest compression. In the phase of chest compression, Leap Motion detect the position of trainee’s hand while he/she repeatedly compresses chest of virtual patient. Then the system evaluates the position, depth and tempo of the compression. If the compression is insufficient, the system visually alerts it to the trainee. Our evaluation revealed that we have succeeded to implement three scenarios of CPR, and that the mismatch of hand-eye coordinate may affect the performance of learning CPR.