 ETH Zurich| Acronym | ETHZ | | Homepage | http://www.ethz.ch/ | | Country | Switzerland | | ZIP, City | | | Address | | | Phone | | | Type | Academy | | Current organization | ETH Zurich | | Child organizations | | | Members | | | Memberships | | | Partners | |
Open OpportunitiesGait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment.
Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking.
Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
- Engineering and Technology, Expert Systems, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis
| Basierend auf Ihren Kenntnissen aus der Vorlesung «Optimierung landwirtschaftlicher Produktionssysteme» erstellen Sie ein Optimierungsmodell in Excel oder R und beantworten damit eine von Ihnen erarbeitete Forschungsfrage. - Agricultural Economics, Environmental Sciences, Operations Research
- Bachelor Thesis
| In this project, we will develop an autonomous wheelchair control for a novel wheelchair with omnidirectional control and test it in a final product. You would develop an algorithm for enabling shared-control navigation for omnidirectional control under complex environments using the architecture proposed in [2] and perform an evaluation with users at a large airport. - Biomedical Engineering, Computer Vision, Digital Systems, Expert Systems, Information Systems, Intelligent Robotics, Interdisciplinary Engineering, Medical and Health Sciences, Modem Technology, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Software Engineering
- Bachelor Thesis, Collaboration, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Semester Project
| This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction. - Biomechanics, Computer Graphics, Computer Vision, Computer-Human Interaction, Engineering and Technology, Expert Systems, Information Systems Development Methodologies, Information Systems Management, Intelligent Robotics, Interfaces and Presentation, Medicine-general, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Operating Systems, Pattern Recognition, Programming Techniques, Rehabilitation and Therapy: Occupational and Physical, Sensory Systems, Signal Processing, Simulation and Modelling, Software Engineering, Sports Medicine, Virtual Reality and Related Simulation
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Other specific labels, Semester Project
| 11 - 15 September 2023 - Through a combination of lectures, interactive workshops and group projects you will develop new insights into current research, connect and exchange ideas and benefit from the collective expertise of our partner universities. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| tba. End of August - This summer school focuses on computational design which is essential for effectively exploring the large design space and thus to reach the full potential of additive manufacturing. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| Around 40% of persons with SCI in Switzerland report shoulder pain, and even higher proportions suffer from shoulder pathologies, limiting in their mobility and participation. Shoulder overuse is seen as a major contributor to such shoulder complaints, however, little is known about the requirements of daily life with respect to shoulder load, and risk factors for overuse. Currently, a proof of concept methodology has been developed for the classification of wheelchair-related activities, based on wearable sensor data (www.mdpi.com/1424-8220/22/19/7404).
However, further research is required to achieve a usable algorithm for real-life environments. We will focus on 1-class classifiers and unsupervised clustering for exploring higher accuracies in unknown situations. - Biomechanical Engineering, Biomechanics, Interdisciplinary Engineering, Rehabilitation Engineering, Sport and Exercise Psychology, Sports Medicine
- ETH Zurich (ETHZ), Internship, Master Thesis
| Open–vocabulary segmentation [1, 2] offers amazing zero-shot semantic perception capabilities that generalise to a large range of environments, but is less precise compared to models that are trained on the specific domain and sensor setup. There is also no direct dataset to learn depth-language correspondence. We want to leverage unsupervised domain adaptation [3] to transfer the knowledge of open-vocabulary segmentation to a domain and sensor specific model.
[1] Ghiasi et al. Open-Vocabulary Image Segmentation, https://arxiv.org/abs/2112.12143
[2] Peng et al. OpenScene, 2022 https://arxiv.org/abs/2211.15654
[3] Liu et al. Unsupervised Continual Semantic Adaptation, https://arxiv.org/abs/2211.13969 - Computer Vision
- Master Thesis, Semester Project
| HoloLens offers great potential for human-robot interaction, e.g. to visualize a planned trajectory in the world. This requires that HoloLens and the robot know where they are with respect to each other, which we want to solve through visual localization. The challenge is that robot and HoloLens have different viewpoints and can only communicate on a limited bandwidth. Based on recent work [1, 2], we want to find a robust & fast visual feature matching that overcomes the challenges and still works in real time.
[1] Sarlin, Dusmanu et al., LaMAR, ECCV 2022, lamar.ethz.ch
[2] Cramariuc et al., maplab 2.0, RA-L 2022, maplab.asl.ethz.ch - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| We aim to develop a reinforcement learning-based global excavation planner that can plan for the long term and execute a wide range of excavation geometries. The system will be deployed on our legged excavator. - Intelligent Robotics
- Master Thesis, Semester Project
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