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Review and Usability Considerations of Intention Detection Methods for Assistive Wearable Robotics
An overview of various intention detection methods and their respective considered usability aspects used in state-of-the-art wearable robotics shall help to find solutions with increased user acceptance and thus promote the transfer from research to real-life applications.
The development of movement-assistive wearable robotic devices aims to provide support to users with limited motor functions or to augment healthy user’s capabilities in industrial applications. Thus, an intuitive interface to detect the user’s movement intentions is required. For instance, many commercially available devices make use of simple push buttons, but depending on the user’s remaining motor functions or the environment of use in industry, the users may not be able to operate them properly. Thus, research prototypes following alternative high-end approaches such as the use of measured EEG-signals to control the device are developed. This may enable a high degree of functionality but at the cost of a high complexity and low usability, leading to reduced user acceptance and a high risk of device abandonment.
To promote the transfer from applications in well-controlled laboratory environments to real-life applications in clinics, at home or in industry, a user interface with a trade-off between high functionality and low complexity has to be found. Thus, as a first step, an overview on the currently used intention detection methods and their respective considered usability aspects in research prototypes and in commercial devices is required.
The development of movement-assistive wearable robotic devices aims to provide support to users with limited motor functions or to augment healthy user’s capabilities in industrial applications. Thus, an intuitive interface to detect the user’s movement intentions is required. For instance, many commercially available devices make use of simple push buttons, but depending on the user’s remaining motor functions or the environment of use in industry, the users may not be able to operate them properly. Thus, research prototypes following alternative high-end approaches such as the use of measured EEG-signals to control the device are developed. This may enable a high degree of functionality but at the cost of a high complexity and low usability, leading to reduced user acceptance and a high risk of device abandonment.
To promote the transfer from applications in well-controlled laboratory environments to real-life applications in clinics, at home or in industry, a user interface with a trade-off between high functionality and low complexity has to be found. Thus, as a first step, an overview on the currently used intention detection methods and their respective considered usability aspects in research prototypes and in commercial devices is required.
Your goal is to offer an overview of various intention detection methods used in state-of-the-art wearable
robotics and rate them based on a set of usability considerations to be defined beforehand.
Your goal is to offer an overview of various intention detection methods used in state-of-the-art wearable robotics and rate them based on a set of usability considerations to be defined beforehand.
- Critical reading of the proposed literature
- Literature research on the state-of-the-art
- Evaluation of the results
- Final presentation and written report
- Critical reading of the proposed literature - Literature research on the state-of-the-art - Evaluation of the results - Final presentation and written report
- Highly motivated and curious student with an interest in robotic assistive technologies
- Bachelor student in Mechanical Engineering, enrolled in the course “151-0640-00L Studies on
Mechatronics”
- Highly motivated and curious student with an interest in robotic assistive technologies - Bachelor student in Mechanical Engineering, enrolled in the course “151-0640-00L Studies on Mechatronics”
If you are interested or have any further questions, please contact:
Jessica Gantenbein, MSc Mechanical Engineering, ETH Zurich
Rehabilitation Engineering Laboratory, ETH Zurich
jessica.gantenbein@hest.ethz.ch
If you are interested or have any further questions, please contact:
Jessica Gantenbein, MSc Mechanical Engineering, ETH Zurich
Overview of Mechatronics topics and study subjects. Identification of minimum 10 pertinent refereed articles or works in the literature in consultation with supervisor or instructor. After 4 weeks, submission of a 2-page proposal outlining the value, state-of-the art and study plan based on these articles. After feedback on the substance and technical writing by the instructor, project commences.