Finger tracking for wearable VR glove using flexible rack mechanism
Background: With the increasing prominence of hand and finger motion tracking in virtual reality (VR) applications and rehabilitation studies, data gloves have emerged as a prevalent solution. In this study, we developed an innovative, lightweight, and detachable data glove tailored for finger motio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-02-01
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| Series: | Virtual Reality & Intelligent Hardware |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096579624000093 |
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| Summary: | Background: With the increasing prominence of hand and finger motion tracking in virtual reality (VR) applications and rehabilitation studies, data gloves have emerged as a prevalent solution. In this study, we developed an innovative, lightweight, and detachable data glove tailored for finger motion tracking in VR environments. Methods: The glove design incorporates a potentiometer coupled with a flexible rack and pinion gear system, facilitating precise and natural hand gestures for interaction with VR applications. Initially, we calibrated the potentiometer to align with the actual finger bending angle, and verified the accuracy of angle measurements recorded by the data glove. To verify the precision and reliability of our data glove, we conducted repeatability testing for flexion (grip test) and extension (flat test), with 250 measurements each, across five users. We employed the Gage Repeatability and Reproducibility to analyze and interpret the repeatable data. Furthermore, we integrated the gloves into a SteamVR home environment using the OpenGlove auto-calibration tool. Conclusions: The repeatability analysis revealed an aggregate error of 1.45 degrees in both the gripped and flat hand positions. This outcome was notably favorable when compared with the findings from assessments of nine alternative data gloves that employed similar protocols. In these experiments, users navigated and engaged with virtual objects, underlining the glove's exact tracking of finger motion. Furthermore, the proposed data glove exhibited a low response time of 17–34 ms and back-drive force of only 0.19 N. Additionally, according to a comfort evaluation using the Comfort Rating Scales, the proposed glove system is wearable, placing it at the WL1 level. |
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| ISSN: | 2096-5796 |