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ORGANIZING COMMITTEE:
ORGANIZING COMMITTEE:
SUMMARY:
SUMMARY:
Advanced neurorehabilitation robotic and prosthetic technologies have revolutionized the field of motor rehabilitation and physical therapy. Using these technologies, affected sensorimotor capabilities of disabled individuals can be augmented with the goal of instant (i.e., assistive function) or gradual (i.e., rehabilitative function) sensorimotor recovery. Ultimately, such technologies may enable humans to go beyond the natural competence and achieve a superior perceptual capability and accuracy in movement generation. In this workshop, we aim to present state-of-the-art research and discuss the existing challenges and future vision of this field. Topics related to autonomy and control, machine learning, and bio-signal processing will be discussed in the context of robotic technologies that can augment the sensorimotor capabilities of people with disability.
LIST OF SPEAKERS:
LIST OF SPEAKERS:
Dario Farina, Imperial College London, UK;
Jaydev Desai, Georgia Institute of Technology, USA;
Mahdi Tavakoli, University of Alberta, Canada;
Kim Adams, University of Alberta, Canada;
Arash Mohammadi, Concordia University, Canada;
José Zariffa, University of Toronto, Canada;
S. Farokh Atashzar, Imperial College London, UK
Schedule:
Schedule:
OBJECTIVES:
OBJECTIVES:
This workshop will aim to collect the most recent developments related to augmenting sensorimotor capabilities of disabled people through human-robot interaction based on advanced intelligent neurorehabilitation robotic systems and prosthetic technologies. We aim to focus particularly on issues related to how advanced machine learning techniques, intelligent control designs, and complex biosignal processing algorithms can enhance the current state of technology with the goal of maximizing the clinical outcomes.
As the motivation of this workshop, it can be mentioned that advanced neurorehabilitation robotic and prosthetic technologies have revolutionized the field of motor rehabilitation and physical therapy. Using this technology, affected sensorimotor capabilities of disabled individuals can be augmented with the goal of instant (i.e., assistance) or gradual (i.e., rehabilitation) sensorimotor recovery. Neurorehabilitation robotic systems are designed mainly to assist post-stroke patients and patients with spinal cord injuries. The goal is to re-train the neural system to recover the lost sensorimotor capacities. For this purpose, the technology is equipped with advanced means of sensorimotor augmentation that provides the disabled patients with an intuitive, assisted motor control over specific tasks and an enhanced immersive perception to stimulate neural activities. This will then accelerate neuroplasticity at the synaptic and non-synaptic levels. It has been shown that this technology has the potential to help patients in regaining the lost sensorimotor capabilities. Advanced prosthetic technologies are equipped with powerful means of intention detection through processing of bio-signals (e.g., EMG and EEG). This allows for detecting the intended motor generation and replicating it using a bionic limb that replaces the biological limb. Thus, people with the absence of biological limbs will be enabled to independently and intuitively perform activities of daily livings. In addition, the recent advances in this field allow for enabling a sense of touch and proprioceptive feedback for the users. Thus this technology is recovering and augmenting sensorimotor capabilities of people who have lost a biological limb.
To conclude, it can be mentioned that the key components of advanced neurorehabilitation and prosthetic technologies are (a) to process kinesthetic, kinematics and biomedical signals to close the loop between intention and motor generation; and (b) to provide some sort of sensory feedback that allows the user to augment their perceptual capabilities regarding the state of interaction. This technology enables human to go beyond the affected physiological competence and achieve a superior perceptual capability and accuracy in the motor generation.
In this workshop, we aim to collect state-of-the-art research from the leading research teams and discuss the existing challenges and future vision of this field. Topics related to autonomy and control, machine intelligence and bio-signal processing will be discussed in the context of robotic technologies that can augment the sensorimotor capabilities of disabled bodies.
Duration of the workshop:
Duration of the workshop:
Half a day.
Structure:
Structure:
Seven talks, Q&A, round-table discussions.
Keywords:
Keywords:
• Sensorimotor Augmentation
• Rehabilitation Robotics
• Active Prosthetic limbs
• Assistive Technologies
• Human-Machine Interaction
Topics:
Topics:
• Hybrid human-machine interfaces for augmenting motor control
• Human-robot interaction through intelligent robotic and telerobotic rehabilitation designs
• Decomposing biosignals to extract the underlying neural activities for augmenting the control
• Smart Assistive architectures for augmenting sensorimotor capabilities
• Biofeedback and haptics in robotic rehabilitation and prosthetic devices
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