Head and neck position sense using a memory-driven joint position matching study

Robins, Rebecca K.; Teodoro, Gregory; Wright, W. Geoffrey

doi:10.1109/icvr.2017.8007503

Cited by 1 publication

(1 citation statement)

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“…This allows users to collect both angular rotation (roll, pitch, and yaw) and linear displacement in the x (medial-lateral), y (up-down), and z (anterior-posterior) planes with great fidelity and minimal time lag (Lavalle et al, 2014). Based on prior research using comparable hardware to assess posture, researchers have recently utilized Oculus to assess cervical joint kinematics (Xu, Chen, Lin, & Radwin, 2015) and head and neck joint position sense (Robins, Teodoro, & Wright, 2017). However, research has yet to establish whether the Oculus, and therefore head position, can be utilized to assess whole-body posture during traditional balance tasks.…”

Section: Introductionmentioning

confidence: 99%

The Validity of an Oculus Rift to Assess Postural Changes During Balance Tasks

Marchetto

Wright

2019

Hum Factors

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Objective: To investigate whether shifts in head position, measured via an Oculus Rift head-mounted display (HMD), is a valid measure of whole-body postural stability. Background: The inverted single-link pendulum model of balance suggests shifts in whole-body center of mass can be estimated from individual body segments. However, whether head position describes postural stability such as center-of-pressure (COP) remains unclear. Method: Participants ( N = 10) performed six conditions while wearing an HMD and performing a previously validated virtual reality (VR)-based balance assessment. COP was recorded with a Wii Balance Board force plate (WBB), while an HMD recorded linear and angular head displacement. Visual input was presented in the HMD (stable scene, dark scene, or dynamic scene) and somatosensory information (with or without foam) was varied across each condition. The HMD time series data were compared with the criterion-measure WBB. Results: Significant correlations were found between COP measures (standard deviation, range, sway area, velocity) and head-centered angular and linear displacements (roll, pitch, mediolateral and anteroposterior directions). Conclusions: The Oculus Rift HMD shows promise as a measure of postural stability without additional posturography equipment. These findings support the application of VR HMD technology for assessment of postural stability across a variety of challenging conditions. Application: The human factors and ergonomic benefit of such an approach is in its portability, low cost, and widespread availability for clinic and home-based investigation of postural disturbances. Fall injury affects millions of people annually, so assessment of fall risk and treatment of the underlying causes has enormous public health benefit.

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Section: Introductionmentioning

confidence: 99%