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Join us in inventing the next generation haptic interface of remote human-human interaction.
We are looking for a highly-motivated PhD candidate interested in performing cutting-edge research to study a new paradigm that remotely connect humans on a physical level using unobtrusive haptic feedback to improve training and rehabilitation.
Practice makes perfect; and this is especially true for rehabilitation training. During training, the haptic feedback provided by therapists to patients guides their movements and rapid rehabilitation. But, since therapists’ time is limited, physical contact is not always possible, and patients are for the most part dependent on self-practice at home. Without haptic feedback from the therapists, the self-directed training is less effective and can even cause incorrect learning due to human motor redundancy. Ideally, patients could access a remote or virtual trainer who would provide them with intuitive and natural haptic guidance.
The aim of this project is to create a wearable device that connects the patient and the trainer via a virtual physical link. The device will be used for remote therapy and to learn from recorded Human-Human Interaction to develop realistic haptic guidance for virtual physical therapy (artificial sensorimotor interactions).
Within this PhD position, you will:
Requirements
We are looking for someone that has a MSc degree in the field of (Bio)Mechanical Engineering, System and Control, Robotics or a related field, and who has a background and/or affinity with:
Attributes we are looking for:
More information:
https://www.tudelft.nl/over-tu-delft...&mask=external
We are looking for a highly-motivated PhD candidate interested in performing cutting-edge research to study a new paradigm that remotely connect humans on a physical level using unobtrusive haptic feedback to improve training and rehabilitation.
Practice makes perfect; and this is especially true for rehabilitation training. During training, the haptic feedback provided by therapists to patients guides their movements and rapid rehabilitation. But, since therapists’ time is limited, physical contact is not always possible, and patients are for the most part dependent on self-practice at home. Without haptic feedback from the therapists, the self-directed training is less effective and can even cause incorrect learning due to human motor redundancy. Ideally, patients could access a remote or virtual trainer who would provide them with intuitive and natural haptic guidance.
The aim of this project is to create a wearable device that connects the patient and the trainer via a virtual physical link. The device will be used for remote therapy and to learn from recorded Human-Human Interaction to develop realistic haptic guidance for virtual physical therapy (artificial sensorimotor interactions).
Within this PhD position, you will:
- Design and develop a unique wearable that captures movement and provides haptic feedback;
- Design and evaluation how to optimally couple humans via a haptic link using musculoskeletal simulations;
- Develop a data-driven control model that learns from human interaction to create artificial haptic interaction.
Requirements
We are looking for someone that has a MSc degree in the field of (Bio)Mechanical Engineering, System and Control, Robotics or a related field, and who has a background and/or affinity with:
- Mechatronics and/or Control theory
- Signal processing and machine learning
- Biomechanics and/or Human factors
- Human sensorimotor control and/or neuromechanics
Attributes we are looking for:
- Curiosity driven person with a ‘can learn anything’ mentality
- Independent thinker with a critical attitude
- Initiative taker
- Enthusiasm toward human experiments
More information:
https://www.tudelft.nl/over-tu-delft...&mask=external