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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