Open AccessImage‐sensing enabled augmented reality for perceived exertion and cardiorespiratory endurance
Author(s) -
Hsiao KueiFang,
Rashvand Habib F.,
Su JuiYuan
Publication year - 2013
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
ISSN - 2043-6394
DOI - 10.1049/iet-wss.2012.0095
Subject(s) - cardiorespiratory fitness , augmented reality , exertion , perceived exertion , physical medicine and rehabilitation , computer science , medicine , physical therapy , computer vision , heart rate , blood pressure
The global problem of students’ health deterioration has been identified worldwide and the condition is becoming seriously dangerous in many industrial nations where students are under huge pressure for performance. One practical solution to this menacing problem is to enhance the classes by injecting extra movements into the existing lectures by making a better use of computer technology in the form of integrating the augmented reality (AR) through an image‐sensing system to engage the students’ dynamics. The authors’ tests provide extensive measurement results, but here they present those related to the use of the new technology mainly in connection with studying the impact of AR on user perception, namely perceived exertion (PRE), and the physical fitness indicator, cardiorespiratory endurance (CRE). In this study, using the computer technology in the form of AR interacting with images, the authors study the impact of AR and report their experimental measurement results for PRE and CRE as two main factors of students’ physical fitness. In connection with the PRE statistical data, the CRE results for over 364 students show significant improvements in some exercises more than others.