Neurological patients frequently experience upper limb sensorimotor impairment, necessitating effective rehabilitation strategies to restore functionality. Accurate assessments of patient movements are integral to these strategies, requiring precise measurement tools. The rapid advancements in AI pose estimation and biomechanical modeling offer a promising solution: a low-budget, user-friendly tool for accurately measuring patient movements in diverse settings. We are developing such a tool, iMove, which leverages video-based AI technology to provide clinical-grade precision.Your role will involve improving iMove's graphical user interface (GUI) and algorithms, as well as testing its performance and usability in collaboration with researchers, clinicians, and potentially patients.
Project Background: Neurological patients often suffer from upper limb sensorimotor
impairment. To meet the growing need for restoring upper limb sensorimotor function in
these patients, it is essential to maximize the effectiveness of rehabilitation strategies.
Integral to this process are accurate and precise assessments. To conduct such precise
assessments, it is crucial to measure the movements of patients accurately. The rapid
improvement of AI pose estimation based on videos, in combination with biomechanical
modeling, allows for a low-budget, user-friendly tool that can be used almost everywhere
to measure patient movements.
Project Background: Neurological patients often suffer from upper limb sensorimotor impairment. To meet the growing need for restoring upper limb sensorimotor function in these patients, it is essential to maximize the effectiveness of rehabilitation strategies. Integral to this process are accurate and precise assessments. To conduct such precise assessments, it is crucial to measure the movements of patients accurately. The rapid improvement of AI pose estimation based on videos, in combination with biomechanical modeling, allows for a low-budget, user-friendly tool that can be used almost everywhere to measure patient movements.
About the Project: We are currently developing this tool, iMove, and we need additional
support in implementing and improving all required features and algorithms as well as
enhancing usability. You should have an interest in AI pose estimation, good knowledge of
Python, and ideally further knowledge of programming languages or the ability to quickly
learn languages such as QT or Flutter. Your work will involve the improvement of iMove
(GUI and algorithms), such as replacing wired webcams with mobile device cameras from
phones/tablets or even drones, as well as testing the performance and usability of iMove
with researchers, clinicians, and potentially patients.
This project is a collaboration between DART Lab at LLUI and RELab at ETH Zurich. Workplace
can be based in Zurich or in Vitznau.
About the Project: We are currently developing this tool, iMove, and we need additional support in implementing and improving all required features and algorithms as well as enhancing usability. You should have an interest in AI pose estimation, good knowledge of Python, and ideally further knowledge of programming languages or the ability to quickly learn languages such as QT or Flutter. Your work will involve the improvement of iMove (GUI and algorithms), such as replacing wired webcams with mobile device cameras from phones/tablets or even drones, as well as testing the performance and usability of iMove with researchers, clinicians, and potentially patients. This project is a collaboration between DART Lab at LLUI and RELab at ETH Zurich. Workplace can be based in Zurich or in Vitznau.
• Literature Review (10%)
• Coding (50%)
• Data processing / analysis (20%)
• Usability/performance testing (20%)
• Literature Review (10%) • Coding (50%) • Data processing / analysis (20%) • Usability/performance testing (20%)
• Technical background in biomedical engineering, computer sciences or similar field
• Good programming skills
• Enthusiastic, curious mind, capable of working independently and in a team
• Interested in pose estimation and neurorehabilitation
• Technical background in biomedical engineering, computer sciences or similar field • Good programming skills • Enthusiastic, curious mind, capable of working independently and in a team • Interested in pose estimation and neurorehabilitation
RELab_DART_JobAd_iMOVE_TimUnger.pdf
