Development and Evaluation of a Corrective Feedback System Using Augmented Reality for the High-quality Cardiopulmonary Resuscitation Training

被引：0

作者：

Higashi, Emi ^{[1
]}

Fukagawa, Keisuke ^{[2
]}

Kasimura, Rinka ^{[1
]}

Kanamori, Yuima ^{[2
]}

Minazuki, Akinori ^{[2
]}

Hayashi, Hidehiko ^{[1
]}

机构：

[1] Hokusei Gakuen Univ, Dept Management Informat, Sapporo, Hokkaido, Japan

[2] Kushiro Publ Univ, Dept Econ, Kushiro, Japan

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2017年

关键词：

AR; corrective feedback; posture detection; Kinect; high-quality CPR; BASIC LIFE-SUPPORT; RANDOMIZED CONTROLLED-TRIAL; CARDIAC-ARREST; ACQUISITION; SCHOOL; DEPTH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In an effort to improve lay rescuers' knowledge and skills in cardiopulmonary resuscitation (CPR), we developed a system that enables high-quality CPR by improving the perceptions of and skills in CPR. The proposed system can evaluate user CPR actions in real time. Particular characteristics of this system are the use of distance and pressure sensors for laypeople to achieve the necessary posture during CPR chest compression and the provision of audiovisual corrective feedback using augmented reality (AR). This system is anticipated to contribute to high-quality CPR training.

引用

页码：716 / 721

页数：6

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