Next Article in Journal
Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives
Next Article in Special Issue
Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location
Previous Article in Journal
Large Area Nanohole Arrays for Sensing Fabricated by Interference Lithography
Previous Article in Special Issue
Symmetry of Gait in Underweight, Normal and Overweight Children and Adolescents
Open AccessArticle

The Validity of a Mixed Reality-Based Automated Functional Mobility Assessment

1
Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
2
Department of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(9), 2183; https://doi.org/10.3390/s19092183
Received: 8 April 2019 / Revised: 7 May 2019 / Accepted: 8 May 2019 / Published: 11 May 2019
(This article belongs to the Special Issue Wearable Sensors for Gait and Motion Analysis 2018)
Functional mobility assessments (i.e., Timed Up and Go) are commonly used clinical tools for mobility and fall risk screening in older adults. In this work, we proposed a new Mixed Reality (MR)-based assessment that utilized a Microsoft HoloLensTM headset to automatically lead and track the performance of functional mobility tests, and subsequently evaluated its validity in comparison with reference inertial sensors. Twenty-two healthy adults (10 older and 12 young adults) participated in this study. An automated functional mobility assessment app was developed, based on the HoloLens platform. The mobility performance was recorded with the headset built-in sensor and reference inertial sensor (Opal, APDM) taped on the headset and lower back. The results indicate that the vertical kinematic measurements by HoloLens were in good agreement with the reference sensor (Normalized RMSE ~ 10%, except for cases where the inertial sensor drift correction was not viable). Additionally, the HoloLens-based test completion time was in perfect agreement with the clinical standard stopwatch measure. Overall, our preliminary investigation indicates that it is possible to use an MR headset to automatically guide users (without severe mobility deficit) to complete common mobility tests, and this approach has the potential to provide an objective and efficient sensor-based mobility assessment that does not require any direct research/clinical oversight. View Full-Text
Keywords: mixed reality headset; mobility assessment; wearable sensor; fall risk; aging mixed reality headset; mobility assessment; wearable sensor; fall risk; aging
Show Figures

Figure 1

MDPI and ACS Style

Sun, R.; Aldunate, R.G.; Sosnoff, J.J. The Validity of a Mixed Reality-Based Automated Functional Mobility Assessment. Sensors 2019, 19, 2183.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop