Marek Kulbacki

Welcome to my personal and academic space! I work at the intersection of Adaptive Augmentation, Context-Aware Algorithms, Responsive Interfaces, and Environmental Recognition for Situational Awareness. My research focuses on human analysis, augmentation and blending AI with human-computer interaction to enhance and extend human capabilities in medical, military, and entertainment applications.

I have an expertise in human motion analysis, particularly in the development of algorithms for recognizing and interpreting human behavior and motion disorder. My research aims to improve the accuracy and efficiency of motion analysis systems, enabling new applications in healthcare, sports, and entertainment.

R&D Center for Motion Analysis and Synthesis

As part of my work in the field of motion analysis and synthesis, I co-founded and led a Research and Development Center focused on creating innovative technologies to analyze and synthesize human movement. This center plays a key role in developing algorithms for motion recognition, interpretation, and augmentation, providing new opportunities for applications in healthcare, sports, entertainment, and robotics.

Our interdisciplinary approach brings together experts in computer vision, machine learning, biomechanics, and human-computer interaction to create cutting-edge motion analysis systems. These systems enhance motion prediction and recognition in various domains, enabling the creation of more efficient rehabilitation programs, improving athletic performance, and developing more immersive virtual reality environments.

Human Motion Lab (HML) - Multimodal Motion Laboratory: The Human Motion Lab (HML) is equipped with advanced systems for the acquisition and analysis of human motion data. It supports simultaneous and synchronous measurement and recording of motion kinematics, muscle potentials, ground reaction forces, and video streams.

Key Equipment:

Vicon Motion Capture System: Equipped with 10 NIR cameras capable of capturing data at speeds ranging from 100 to 2000 frames per second with 4-megapixel resolution and 8-bit grayscale depth.
Noraxon Dynamic Electromyography (EMG) System: Enables 16-channel measurement of muscle potentials using gel-free electrodes according to SENIAM guidelines.
Kistler Ground Reaction Force (GRF) Measurement System: Measures ground reaction forces using two dynamometric platforms designed for gait analysis, capable of measuring forces up to 5 times the body weight of an adult.
Basler Multicamera Video Recording System: Simultaneous full HD video capture from multiple cameras with lossless video storage.

HML supports research in the fields of motion analysis and synthesis, with capabilities in data acquisition, organization, analysis, and sharing of multimodal data describing human movement.

Human Microexpression Lab (HMX): The Human Microexpression Lab specializes in high-speed recording of facial expressions, with applications in psychological and neurological studies.

Key Equipment:

High-Speed Camera: Captures images at 200 frames per second and stores raw data on a dedicated computer.
Specialized Lighting: Ensures optimal conditions for microexpression detection and recording.

Human Seeing Lab (HSL): The Human Seeing Lab focuses on computer vision research, with an emphasis on the use of Intelligent Video Analysis (IVA) systems for advanced monitoring and security applications.

Key Equipment:

8 High-Performance Workstations
120TB Storage Space
10 PTZ HD Cameras: Four of these cameras are installed in a public area 2km from the lab and connected via fiber-optic infrastructure for real-time data acquisition.
High-Speed Camera: Capable of recording fast-changing phenomena at 210 frames per second.
10GB Fiber-Optic Infrastructure: Provides fast internal communication within the lab and connects with external cameras via a 1GB network.
Virtualization, Continuous Integration, and Distributed Work Environments: Supports the development and testing of computer vision algorithms and systems.

Human Facial Modelling Lab (HFML): The Human Facial Modelling Lab specializes in 3D facial modeling and analysis, with applications in animation, gaming, and medical fields.

Key Equipment:

Vicon Bonita Facial Marker Capture System: Features 10 NIR cameras capturing at 120 frames per second with a resolution of 2 megapixels.
Point Grey Glasshopper Video System: A 6-camera setup that records synchronized video at 162 frames per second, ensuring lossless video storage.
3D Structured Light Scanner: Used for detailed 3D facial scans, in collaboration with the Institute of Theoretical and Applied Informatics.

Human Dynamics and Multimodal Interaction Lab (HDMI): The HDMI Lab is designed for research on dynamic human interactions and motion analysis in immersive environments.

Key Equipment:

Six-Degree-of-Freedom Platform: Equipped with an integrated treadmill featuring two independent belts for both legs, with pressure platforms beneath for independent measurements of both limbs.
Real-Time Motion Capture System: Comprising 10 NIR cameras for capturing motion in real time.
Projection System: A semicircular screen creating an immersive scene for the subject.
High-Quality Surround Sound System: Provides spatial audio for enhanced interaction and feedback during experiments.

IEEE Membership and Involvement

I have been a member of IEEE for 23 years, actively participating in various technical communities and societies that focus on advancing technology for humanity. My involvement includes membership in several IEEE technical committees and communities related to robotics, biomedical engineering, computational sciences, and wearable technologies.

Member, IEEE Robotics and Automation Technical Committee on Human Movement Understanding
Member, IEEE Engineering in Medicine and Biology Society Technical Committee on Biomedical Imaging
Member, IEEE Computer Society Technical Community on Pattern Analysis and Machine Intelligence
Member, IEEE Sensors Council
Member, IEEE Council on RFID
Member, IEEE Computer Society

For a complete list of my technical affiliations and certifications, you can request details or visit my profile on IEEE Collabratec.