Capture of Stability and Coordination Indicators in Virtual Training Scenarios for the Prevention of Slip, Trip, and Fall (STF) Accidents

The aim of the project is to develop and evaluate a training environment for the prevention of falls with the help of an application in virtual reality (VR). The participants of our study walk on a treadmill with fall protection while immersing into a virtual scenario where they should cross virtual obstacles. Potential parameters reflecting the plasticity of the neuromotor system are investigated in order to search for possible learning effects and their stabilization. In addition, it will be determined how many perturbations (i.e. obstacles) are necessary to establish a learning process. The results will be used to check the experimental setup and to prepare a main study for the development of a training program that helps preventing slip, trip, and fall (STF) accidents using a VR environment. So far two pilot measurements have been completed and parameters that may indicate learning effects were calculated. Initial results do not reveal clear learning effects, however, they inform about relevant adjustments for setting up systematic investigations and provide important details about strategies for data acquisition and analysis.

[1]  Scott A. Beardsley,et al.  Inducing Compensatory Changes in Gait Similar to External Perturbations Using an Immersive Head Mounted Display , 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[2]  H. M. Traquair,et al.  An Introduction to Clinical Perimetry , 1943, The Indian Medical Gazette.

[3]  Thomas L. Milani,et al.  Detecting foot-to-ground contact from kinematic data in running , 2009 .

[4]  G. Brüggemann,et al.  Retention of gait stability improvements over 1.5 years in older adults: effects of perturbation exposure and triceps surae neuromuscular exercise. , 2018, Journal of neurophysiology.

[5]  Ulrich Hartmann,et al.  Similarities and Differences in Posture During Simulated Order Picking in Real Life and Virtual Reality , 2018, HCI.

[6]  Shirley Rietdyk,et al.  The effect of the visual characteristics of obstacles on risk of tripping and gait parameters during locomotion , 2011, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[7]  Jeffrey M. Hausdorff,et al.  Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson's disease? , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.

[8]  Bernhard Zimolong,et al.  Occupational Health and Safety Management , 2006 .

[9]  Oddom Demontiero,et al.  Effects of balance training using a virtual-reality system in older fallers , 2013, Clinical interventions in aging.

[10]  A L Hof,et al.  The condition for dynamic stability. , 2005, Journal of biomechanics.

[11]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[12]  Peter J Beek,et al.  Speeding up or slowing down?: Gait adaptations to preserve gait stability in response to balance perturbations. , 2012, Gait & posture.

[13]  Prakriti Parijat,et al.  Effects of Perturbation-Based Slip Training Using a Virtual Reality Environment on Slip-induced Falls , 2015, Annals of Biomedical Engineering.

[14]  Feng Yang,et al.  Learning from laboratory-induced falling: long-term motor retention among older adults , 2014, AGE.