Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, East Road, Cambridge CB1 1PT, UK.
Sensors (Basel). 2023 Oct 20;23(20):8615. doi: 10.3390/s23208615.
The aim of this scoping review is to evaluate and summarize the existing literature that considers the validity and/or reliability of smartphone accelerometer applications when compared to 'gold standard' kinematic data collection (for example, motion capture). An electronic keyword search was performed on three databases to identify appropriate research. This research was then examined for details of measures and methodology and general study characteristics to identify related themes. No restrictions were placed on the date of publication, type of smartphone, or participant demographics. In total, 21 papers were reviewed to synthesize themes and approaches used and to identify future research priorities. The validity and reliability of smartphone-based accelerometry data have been assessed against motion capture, pressure walkways, and IMUs as 'gold standard' technology and they have been found to be accurate and reliable. This suggests that smartphone accelerometers can provide a cheap and accurate alternative to gather kinematic data, which can be used in ecologically valid environments to potentially increase diversity in research participation. However, some studies suggest that body placement may affect the accuracy of the result, and that position data correlate better than actual acceleration values, which should be considered in any future implementation of smartphone technology. Future research comparing different capture frequencies and resulting noise, and different walking surfaces, would be useful.
本范围综述旨在评估和总结现有文献,这些文献考虑了智能手机加速度计应用程序与“黄金标准”运动学数据收集(例如,运动捕捉)相比的有效性和/或可靠性。在三个数据库上进行了电子关键字搜索,以确定合适的研究。然后,对这些研究进行了检查,以了解措施和方法以及一般研究特征的详细信息,以确定相关主题。出版日期、智能手机类型或参与者人口统计学均不受限制。总共审查了 21 篇论文,以综合使用的主题和方法,并确定未来的研究重点。智能手机加速度计数据的有效性和可靠性已针对运动捕捉、压力步道和 IMU 等“黄金标准”技术进行了评估,结果表明其准确性和可靠性。这表明智能手机加速度计可以提供一种廉价且准确的替代方法来收集运动学数据,这些数据可以在生态有效环境中使用,从而有可能增加研究参与的多样性。然而,一些研究表明,身体位置可能会影响结果的准确性,并且位置数据比实际加速度值更相关,这在任何未来的智能手机技术实施中都应加以考虑。比较不同捕获频率和由此产生的噪声以及不同的行走表面的未来研究将是有用的。