Browsing by Author "Tyson, Abigail M."
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- Development and Implementation of Laboratory Test Methods for the Evaluation of Wearable Head Impact SensorsTyson, Abigail M. (Virginia Tech, 2016-01-08)With a rise in wearable sensor technology and the desire to investigate head impacts in previously unstudied groups, wearable head impact sensors have reached nation-wide popularity for their promising benefits to consumers and researchers. However, there are risks in relying on such technology before proper validation of its performance has been completed. Preliminary tests have found that current sensors vary widely in performance. The objective of this work was to develop and implement a test method for evaluation of wearable sensors in an ideal laboratory environment. A custom pendulum was used to impact a NOCSAE headform mounted on a Hybrid III neck. Sensors were tested under helmeted and unhelmeted conditions, according to their prescribed use. The headform was impacted at four locations, each at four impact energies ranging from 25 g to 100 g. Peak and time series headform kinematics output by each sensor were compared to accelerometers and angular rate sensors inside the headform. Average and standard deviations of peak sensor error and normalized RMS error were evaluated at each test condition to describe sensor performance. Requirements were set in the slope and coefficient of determination from linear regressions constrained through the origin to describe adequate sensor performance under ideal conditions. Sensors that met the requirement in at least one kinematic variable will be further evaluated in more realistic on-field and cadaver tests. The combination of all testing phases will be used to provide an overall sensor evaluation for both researchers and consumers.
- Hockey STAR MethodologyBegonia, Mark T.; Tyson, Abigail M.; Rowson, Bethany M.; Rowson, Steven (Virginia Tech, 2022-02-08)This document details the protocol used by the Virginia Tech Helmet Ratings to rate hockey helmets based on concussion risk.
- Ranges of Injury Risk Associated with Impact from Unmanned Aircraft SystemsCampolettano, Eamon T.; Bland, Megan L.; Gellner, Ryan A.; Sproule, David W.; Rowson, Bethany M.; Tyson, Abigail M.; Duma, Stefan M.; Rowson, Steven (2017-12)Regulations have allowed for increased unmanned aircraft systems (UAS) operations over the last decade, yet operations over people are still not permitted. The objective of this study was to estimate the range of injury risks to humans due to UAS impact. Three commercially-available UAS models that varied in mass (1.2-11 kg) were evaluated to estimate the range of risk associated with UAS-human interaction. Live flight and falling impact tests were conducted using an instrumented Hybrid III test dummy. On average, live flight tests were observed to be less severe than falling impact tests. The maximum risk of AIS 3+ injury associated with live flight tests was 11.6%, while several falling impact tests estimated risks exceeding 50%. Risk of injury was observed to increase with increasing UAS mass, and the larger models tested are not safe for operations over people in their current form. However, there is likely a subset of smaller UAS models that are safe to operate over people. Further, designs which redirect the UAS away from the head or deform upon impact transfer less energy and generate lower risk. These data represent a necessary impact testing foundation for future UAS regulations on operations over people.
- Soccer Headgear STAR ProtocolTyson, Abigail M.; Press, Jaclyn; Rowson, Steven (Virginia Tech, 2018-03-30)This document details the protocol used to rate soccer headgear based on concussion risk according to the Virginia Tech Helmet Ratings.
- Varsity Football STAR MethodologyTyson, Abigail M.; Rowson, Steven (Virginia Tech, 2020-12)This document details the protocol used to rate adult football helmets based on concussion risk according to the Virginia Tech Helmet Ratings.