Reconfigurable Virtual Reality Interaction Interface Based on Encoded Mechanical Array

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Authors: Taiqi Hu, Taisong Pan, Liying Zhang, Siqi Chen, Yao Xiao, Fan Li, Ruiyuan Zhang, Xiao Huang, Guang Yao, Z. Huang, Mei Bi, Min Gao
+1 more Yuan Lin
Cited by: 2
References: 29

Abstract

Virtual reality (VR) interaction interface plays a critical role in bridging biomechanical signatures between physical world and cyberspace. However, existing stretchable strain sensors for VR gesture recognition face an inherent trade-off between sensitivity and operating range, thereby significantly limiting their applicability across diverse metaverse scenarios. Here, we present a dynamic reconfiguration strategy based on an encoded mechanical array (EMA) to enable in-field and programmable tuning of sensitivity and operating range for stretchable strain sensors in VR applications. The interlocked liquid metal units in EMA, which are inspired by mortise-and-tenon design, achieve reversible fracture-healing cycles under external magnetic fields and mechanical stimuli, enabling programmable localized strain tunability (up to 71%) in EMA with binary coding. With the integration of EMA, the stretchable strain sensor is capable of switching between multiple operational modes across high-precision detection (∼610% sensitivity enhancement) and wide-range monitoring (∼220% range extension). By implementing the EMA-based stretchable strain sensor array in the creation of a reconfigurable VR interaction interface, we achieve scenario-adaptive hand motion tracking in a VR medical training platform for orthopedic and neurosurgical surgery simulations.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Muscle activation and electromyography studies Prosthetics and Rehabilitation Robotics

Publication details

Journal / source
Advanced Materials
Publisher
Wiley
Volume
38
Issue
21
Pages
e16232–e16232
Publication date
18 March 2026
Language
EN