
handle: 11382/515169 , 11589/108110
Cardiopulmonary resuscitation (CPR) is a first-aid key survival technique used to stimulate breathing and keep blood flowing to the heart. Its effective administration can significantly increase the chances of survival in victims of cardiac arrest. In this paper, we propose a markerless system for quality CPR training based on RGB-D (RGB + Depth) sensors, called RELIVE . Then, we report the results of a series of experimental tests conducted to evaluate RELIVE tracking performance. The proposed system is able to accurately track the 3-D position of the hands performing CPR by means of RGB-D sensors to estimate the chest compression rate and depth, providing a real-time visual/audio feedback about the rescuer's performance. Finally, the system usability has been assessed by both healthcare professionals and lay people.
3-D movement tracking; Cardiopulmonary resuscitation (CPR) human performance assessment; computer vision; training; Human Factors and Ergonomics; Control and Systems Engineering; Signal Processing; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Networks and Communications; Artificial Intelligence
3-D movement tracking; Cardiopulmonary resuscitation (CPR) human performance assessment; computer vision; training; Human Factors and Ergonomics; Control and Systems Engineering; Signal Processing; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Networks and Communications; Artificial Intelligence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
