IEEE ICIP 2026 Workshop 176 Half-day workshop

Satellite Workshop

Multimodal Perception and Skill Training in Immersive Virtual Environments

Advancing multimodal perception, immersive interaction, and skill acquisition in virtual, augmented, and mixed reality environments.

Quick Facts

Abbreviation
M-PaSTIVE
Duration
Half-day workshop
Proceedings
Yes — accepted papers planned for proceedings
Tampere, Finland · 13–17 September 2026 · exact workshop day to be announced
About the Workshop

Why M-PaSTIVE?

Virtual environments can serve as platforms for training spatial navigation and complex skills in healthcare, education, rehabilitation, and workforce development. The effectiveness of these platforms depends on advances in multimodal signal processing that enable accurate scene understanding, real-time interaction, adaptive feedback, and perceptually coherent simulation. Modern virtual, augmented, and mixed reality systems rely on visual sensing, 3D reconstruction, motion tracking, gaze estimation, and multimodal sensor fusion to create immersive and responsive training experiences. Progress in spatial signal representation, learning-based perception, and real-time processing architectures is essential for improving realism, stability, and personalization in these environments. This workshop aims to bring together researchers and practitioners working on signal processing, computer vision, and multimodal learning methods that support interaction and skill acquisition in immersive systems.

Immersive Learning Multimodal Perception XR Interaction 3D Reconstruction Sensor Fusion Skill Training

Workshop Goals

  • Connect signal processing, computer vision, and multimodal learning communities working on immersive systems.
  • Highlight research that improves realism, responsiveness, and adaptability in training-oriented virtual environments.
  • Promote discussion around robust, human-centered, and scalable methods for skill acquisition in XR.
Research Scope

Topics of Interest

Methods & Models

  • Multimodal perception for VR, AR, and MR
  • 3D scene understanding and reconstruction
  • Motion tracking, pose estimation, and interaction sensing
  • Gaze estimation and attention-aware interfaces
  • Multimodal sensor fusion for immersive applications
  • Real-time processing architectures for interactive systems

Applications & Use Cases

  • Skill training in healthcare and rehabilitation
  • Immersive learning and education
  • Workforce development and simulation-based training
  • Adaptive feedback systems in virtual environments
  • Perceptually coherent simulation and personalization
  • Human-centered interaction in immersive systems
Workshop Format

Indicative Program

Opening & Welcome

Introduction to the workshop scope, goals, and themes.

Invited Talk / Keynote

A keynote or invited presentation from a leading researcher in immersive systems.

Paper Presentations

Selected oral presentations on multimodal perception and skill training.

Panel Discussion

Discussion with invited panelists on emerging challenges and opportunities.

Poster & Networking

Poster interaction and community exchange.

Closing Remarks

Wrap-up and outlook on future directions.

Call for Papers

Submit Your Research

We welcome contributions on signal processing, computer vision, and multimodal learning methods that support immersive interaction and skill acquisition in virtual environments.

Paper Format

Follow the IEEE ICIP 2026 workshop paper format and submission requirements.

Proceedings

Accepted papers are planned to be included in the workshop proceedings.

Submission Details

The final submission link and deadlines can be added as soon as they are announced.

Important Dates

Timeline

Paper Submission
May 13, 2026
Acceptance Notification
June 10, 2026
Camera-Ready Deadline
July 1, 2026
Workshop at ICIP 2026
13–17 September 2026 · exact workshop day TBA
Organization

Workshop Organizers

Tatjana Pladere
Primary Organizer

Tatjana Pladere

University of Latvia

tatjana.pladere@lu.lv
Dorota Kamińska
Primary Organizer

Dorota Kamińska

Lodz University of Technology

dorota.kaminska@p.lodz.pl
Grzegorz Zwoliński
Organizer

Grzegorz Zwoliński

Lodz University of Technology

grzegorz.zwolinski@p.lodz.pl