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Related Experiment Video

Updated: Jun 28, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Calibration, registration, and synchronization for high precision augmented reality haptics.

Matthias Harders¹, Gérald Bianchi, Benjamin Knoerlein

¹Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland. mharders@vision.ee.ethz.ch

IEEE Transactions on Visualization and Computer Graphics

|November 15, 2008

Summary

This study introduces visuo-haptic augmented reality (AR) for medical training, focusing on accurate calibration, system stability, and low latency. These elements are crucial for maintaining immersion and improving training outcomes in surgical simulations.

Related Experiment Videos

Last Updated: Jun 28, 2026

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

Area of Science:

Medical training
Augmented reality
Human-computer interaction

Background:

Visuo-haptic augmented reality (AR) systems offer potential for immersive medical training.
Accurate calibration, system stability, and low latency are critical for effective AR training.
Breaks in user presence can negatively impact learning outcomes in virtual environments.

Purpose of the Study:

To describe methods for calibrating visuo-haptic integration in AR systems.
To present a hybrid tracking technique for stable alignment of virtual augmentations.
To introduce a distributed framework for low-latency component synchronization in multimodal AR.

Main Methods:

Developed calibration methods for precise visuo-haptic integration.
Implemented a hybrid tracking technique for robust alignment of AR elements.
Designed a distributed framework for real-time synchronization and low latency.

Main Results:

The described methods facilitate stable and immersive visuo-haptic AR experiences.
The hybrid tracking ensures accurate alignment of virtual objects with the real environment.
The distributed framework achieves low latency essential for realistic interaction.

Conclusions:

The developed techniques address key challenges in visuo-haptic AR for medical training.
An early prototype demonstrates the feasibility of the multimodal AR framework.
The system enables colocated visuo-haptic interaction in a simulated surgical setting.