IGS 2025 Topics
Methods
- Motion capture (wearables, image/video acquisition, pen and touch tablets)
- Movement analysis (signal/image/video processing, hand and finger movements, human pose estimation and tracking, biomechanics)
- Movement segmentation and gesture recognition (features extraction, classification, identification and representation, machine learning, and natural language description)
- Multimodal fusion and registration (with EEG, EMG, voice recording, eye tracking, multi-limb or contralateral movements)
- Neurosciences and motor control
- Robotics and motion control, anthropomorphic robots
- Motion-based human-machine interface and augmented/virtual reality (gesture-based control of equipment, remote surgery systems)
- Handwriting, signature and movement synthesis, generative AI.
- Document analysis and recognition (print, handwriting, drawing, images)
Applications
- Applications in healthcare (health monitoring, movement disorders, physical rehabilitation, physiotherapy, aging at home, detection of injuries, Parkinson and Alzheimer diseases)
- Application in education (handwriting learning and assessment, teaching methods, early screening of motor aptitude and disorders)
- Applications in sports (performance assessment, non-invasive prediction of injuries or drugs)
- Applications in arts (cultural heritage, calligraphy, painting, drawing, music playing, dance, sculpting)
- Applications in forensic and security (signature verification, writer identification, handwritten document forgery detection, biometric motion identification)
Datasets
- Handwriting, signature and movement datasets
- Privacy preservation, data anonymization
- Biomarkers in handwriting and human movements
- Gold standards benchmarks