The development and validation of using inertial sensors to monitor postural change in resistance exercise

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• 作者：Sam Gleadhill^a ; ^b ; ^{sam@qsportstechnology.com" class="auth_mail" title="E-mail the corresponding author} ; James Bruce Lee^a ; ^b ; ^{jim@qsportstechnology.com" class="auth_mail" title="E-mail the corresponding author} ; Daniel James^b ; ^{dan@qsportstechnology.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Inertial sensor ; Occupational health and safety ; Resistance exercise ; Wearable technology ; Validating ; Accelerometer
• 刊名：Journal of Biomechanics
• 出版年：2016
• 出版时间：3 May 2016
• 年：2016
• 卷：49
• 期：7
• 页码：1259-1263
• 全文大小：363 K

文摘

This research presented and validated a method of assessing postural changes during resistance exercise using inertial sensors. A simple lifting task was broken down to a series of well-defined tasks, which could be examined and measured in a controlled environment. The purpose of this research was to determine whether timing measures obtained from inertial sensor accelerometer outputs are able to provide accurate, quantifiable information of resistance exercise movement patterns. The aim was to complete a timing measure validation of inertial sensor outputs. Eleven participants completed five repetitions of 15 different deadlift variations. Participants were monitored with inertial sensors and an infrared three dimensional motion capture system. Validation was undertaken using a Will Hopkins Typical Error of the Estimate, with a Pearson׳s correlation and a Bland Altman Limits of Agreement analysis. Statistical validation measured the timing agreement during deadlifts, from inertial sensor outputs and the motion capture system. Timing validation results demonstrated a Pearson׳s correlation of 0.9997, with trivial standardised error (0.026) and standardised bias (0.002). Inertial sensors can now be used in practical settings with as much confidence as motion capture systems, for accelerometer timing measurements of resistance exercise. This research provides foundations for inertial sensors to be applied for qualitative activity recognition of resistance exercise and safe lifting practices.