Fabric topological haptic proxy for interactive virtual reality.

Area of Science:

• Robotics and Human-Computer Interaction
• Materials Science and Engineering

Background:

• Conventional haptic proxies for virtual reality (VR) are expensive, single-use, and require extensive object-specific models.
• This limits the scalability, reusability, and accessibility of immersive VR experiences.

Purpose of the Study:

• To introduce a fabric-based topological haptic proxy (FTHP) as a programmable and universal interface for enhanced VR haptics.
• To overcome the limitations of traditional haptic proxies through a novel material and design approach.

Main Methods:

• Integration of origami-inspired topological constraints with triboelectric sensor yarns to create a deformable yet structurally stable interface.
• Development of a heterogeneous design with rigid and flexible segments to guide deformation and generate distinct electrical signals.
• Implementation of a convolutional neural network (CNN) for classifying interaction signals and recognizing distinct actions.

Main Results:

• A single FTHP can be dynamically reconfigured into multiple functional states, such as a flat touchpad or various 3D controllers.
• The system achieved a high recognition accuracy of 92.4% for 14 distinct actions across 3 interaction modes.
• Demonstrated the FTHP's ability to bypass the need for rigid one-to-one mapping between physical props and virtual assets.

Conclusions:

• The FTHP presents a scalable, versatile, and cost-effective platform for high-fidelity haptic interaction in VR.
• This technology advances the design of more immersive, accessible, and adaptable virtual reality systems.
• The fabric-based approach offers a sustainable alternative to traditional haptic proxy methods.