DTA

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Tesi etd-11162020-171048

Type of thesis
Dottorato
Author
CAMARDELLA, CRISTIAN
URN
etd-11162020-171048
Title
INNOVATIVE REHABILITATION STRATEGIES FOR ROBOTIC EXOSKELETONS USING MACHINE LEARNING AND BIOMETRIC SIGNALS
Scientific disciplinary sector
ING-IND/13
Course
Istituto di Tecnologie della Comunicazione, dell'Informazione e della Percezione - PH.D. PROGRAMME IN EMERGING DIGITAL TECHNOLOGIES (EDT)
Committee
Presidente Prof. FRISOLI, ANTONIO
Membro Prof. Raymond TONG
Membro Dott.ssa CREA, SIMONA
Membro Prof. SOLAZZI, MASSIMILIANO
Membro Prof. BEVILACQUA, VITOANTONIO
Keywords
  • rehabilitation robotics
  • exoskeleton
  • muscle synergy
  • myo-control
  • virtual reality
Exam session start date
30/03/2021;
Availability
parziale
Abstract
-INTRODUCTION<br> STATE OF ART OF ROBOTIC REHABILITATION EXOSKELETONS<br> UPPER LIMB EXOSKELETONS<br> LOWER LIMB EXOSKELETONS<br> STATE OF ART OF EXOSKELETONS CONTROL STRATEGIES<br> MODEL-BASED STRATEGIES<br> MODEL-FREE STRATEGIES<br> REHABILITATION TECHNOLOGIES<br> EXOSKELETONS AND VIRTUAL REALITY<br><br>-MUSCLES SYNERGIES<br> THEORY OF MUSCLES SYNERGIES<br> EXTRACTION OF MUSCLES SYNERGIES<br> AUTOENCODER-BASED ALGORITHM<br> TASK-ORIENTED EXTRACTION <br> SYNERGIES IN REHABILITATION<br> <br>-THE MYOELECTRIC CONTROL FOR UPPER LIMB DEVICES<br> WHAT MYOCONTROL IS?<br> MODEL-GENERATION THROUGH INTERPOLATION<br> THE SYNERGY-BASED MYOCONTROL<br> THE REAL-TIME MYOCONTROL<br><br>-EXOSKELETONS IN VIRTUAL REALITY TASKS<br> THE METAPHORICAL INTERACTION<br> HAPTICS IN VR<br> THE ISLAND EXPERIMENT<br><br>-LOWER LIMB EXOSKELETONS FOR REHABILITATION<br> THE TRANSPARENCY PROBLEM<br> THE BLEND CONTROL<br><br>-CONCLUSIONS<br>-CREDITS<br>-BIBLIOGRAPHY
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