Accuracy study of the Oculus Touch v2 versus inertial sensor for a single-axis rotation simulating the elbow’s range of motion

Author:

Rojo AnaORCID,Cortina Javier,Sánchez Cristina,Urendes Eloy,García-Carmona Rodrigo,Raya Rafael

Abstract

AbstractVirtual reality (VR) has emerged as a valid addition to conventional therapy in rehabilitation and sports medicine. This has enabled the development of novel and affordable rehabilitation strategies. However, before VR devices can be used in these situations, they must accurately capture the range of motion of the body-segment where they are mounted. This study aims to state the accuracy of the Oculus Touch v2 controller when used to measure the elbow’s motion in the sagittal plane. The controller is benchmarked against an inertial sensor (ENLAZA$$^{\mathrm{TM}}$$ TM ), which has already been validated as a reliable measurement device. We have developed a virtual environment that matches both the Oculus Touch v2 and the inertial sensor orientations using a digital goniometer. We have also collected the orientation measurements given by each system for a set of 17 static angles that cover the full range of normal elbow flexion and hyperextension motion, in 10° intervals from − 10°  (hyperextension) to 150° (flexion). We have applied the intra-rater reliability test to assess the level of agreement between the measurements of these devices, obtaining a value of 0.999, with a 95% confidence interval ranged from 0.996 to 1.000. By analyzing the angle measurement outcomes, we have found that the accuracy degrades at flexion values between 70° and 110°, peaking at 90°. The accuracy of Oculus Touch v2 when used to capture the elbow’s flexion motion is good enough for the development of VR rehabilitation applications based on it. However, the flaws in the accuracy that have been revealed in this experimental study must be considered when designing such applications.

Funder

Ministerio de Ciencia, Innovación y Universidades

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A User Study of a Cable Haptic Interface with a Reconfigurable Structure;2023 IEEE World Haptics Conference (WHC);2023-07-10

2. Assessing the Accuracy and Reliability of a Low-Cost Virtual Reality Headset versus a Goniometer for Measuring Cervical Range of Motion;2023 34th Irish Signals and Systems Conference (ISSC);2023-06-13

3. Real-Time Tracking of Smartwatch Orientation and Location by Multitask Learning;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

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