4th CONFSEML

Multimodal Data Acquisition: Applications in Physiological and Behavioral Research

Submission Deadline Notification of Acceptance Submission Email Download
May 13, 2026 7-20 workdays sympo_adana@confseml.org Manuscript Template

Scope

This symposium focuses on practical multimodal physiological data acquisition using ECG, GSR, and camera-based facial monitoring during a PlayStation-driven simulated driving task. Participants will explore themes including:

  • Sensor placement and calibration for clean ECG and GSR signals
  • Synchronizing physiological and video data streams
  • Live monitoring and troubleshooting of signal quality
  • Event annotation during driving (e.g., lane changes, speed variations, collisions)
  • Exporting, structuring, and preparing datasets for further analysis

No previous experience with biomedical data collection is required. All equipment will be provided, and participants will work in small groups to collect and review their own datasets. The symposium is suitable for students, early-career researchers, and practitioners interested in fatigue detection, physiological computing, or human–machine interaction studies.

Topics

This symposium welcomes submissions with the following topics

Software Engineering

  • Advanced Topics in Software Engineering
  • Computer-Supported Collaborative Work
  • Computer Graphics and Human-Computer Interaction
  • Decision Support
  • Distributed Computing
  • Knowledge-Based Systems and Formal Methods
  • Languages and Formal Methods
  • Managing Software Projects
  • Modeling Software Architecture
  • Multimedia and Visual Software Engineering
  • Quality Management
  • Search Engines and Information Retrieval
  • Software Engineering Decision Making
  • Software Engineering Practice
  • Software Maintenance and Testing
  • Web Engineering

Meanwhile, submissions aligned with the overall conference scope are also welcomed.

Machine Learning

  • Data Mining in Heterogeneous Networks
  • Deep and Reinforcement Learning
  • Distributed and Decentralized Machine Learning Algorithms
  • Human-robot Interface and Interaction
  • Network Slicing Optimization
  • User Behavior Prediction
  • Machine Learning in Knowledge-Intensive Systems
  • Machine Learning Methods and Analysis
  • Mechanism Design and Applications
  • Mobile Sensor Networks
  • Modeling and Identification
  • Multi-agent Systems
  • Natural Language Processing
  • Pattern Recognition and Classification for Networks
  • Robotic Automation and Control

Computer Applications

  • AI Architecture and Practice
  • AI Model and Algorithms
  • Artificial Intelligence in Modeling and Simulation
  • Artificial Intelligence in Scheduling and Optimization
  • Cloud Computing Architecture
  • Computer Vision and Object Recognition
  • Concurrent and Parallel Processing
  • Coordination in Robotics
  • Data Visualization and Modern Technologies
  • Distributed Intelligent Processing
  • Intelligence and Language
  • Intelligent Wireless Communications
  • Intelligent Wireless Sensor Networks
  • Internet of Things
  • Software Frameworks and Simulations