Measuring risk factors of injury with technology may be possible with inertial sensors. The aim was to highlight inertial sensor capabilities, to propose future research interventions. Student’s T tests were completed for statistical comparisons of gyroscope angular rate of change, between deadlifts completed with a neutral spine posture and a flexed spine posture. It was concluded that inertial sensors can monitor anterior-posterior spine technique differences in resistance exercise. Therefore future research is needed to assess the capability of inertial sensor technology to measure parameters of human movement that reflect the risk of sustaining injuries.
|Title of host publication||The Journal o Fitness Research|
|Subtitle of host publication||Special Issue ASTN-Q Conference 2016 Research & Innovation in Sports Technology|
|Editors||Daniel A James|
|Place of Publication||Australia|
|Publisher||Australian Institute of Fitness|
|Number of pages||3|
|Publication status||Published - Aug 2016|
|Event||ASTN-Q Conference 2016 - QLD, Australia|
Duration: 9 Aug 2016 → …
|Conference||ASTN-Q Conference 2016|
|Period||9/08/16 → …|
Gleadhill, S. (2016). Can wearable technology predict pain like pain predicts the weather? In D. A. James (Ed.), The Journal o Fitness Research: Special Issue ASTN-Q Conference 2016 Research & Innovation in Sports Technology (Vol. 5, pp. 5-7). Australia: Australian Institute of Fitness.