Institute for Intelligent Interactive Systems
In this project, we will propose a pipeline to generate novel view synthesis of multiple human performers. Please email the host for more details of the project.
- Computer Vision
- CLS Student Project (MPG ETH CLS), ETH Organization's Labels (ETHZ), IDEA League Student Grant (IDL), Master Thesis, Semester Project
How accurately can we classify sleep stages and, subsequently, estimate the number of sleep cycles a person has gone through using only aggregated low-frequency data derived from datasets that contain blood volume pulse and motion signals?
- Applied Statistics, Biosensor Technologies, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Signal Processing, Simulation and Modelling
- Bachelor Thesis
Digital capture of human bodies is a rapidly growing research area in computer vision and computer graphics that puts scenarios such as life-like mixed-reality (MR) virtual-social interactions into reach. Therefore, we offer projects for modeling and capturing humans at the intersection of computer vision, computer graphics, and machine learning.
- Computer Graphics, Computer Vision, Virtual Reality and Related Simulation
- CLS Student Project (MPG ETH CLS), ETH Organization's Labels (ETHZ), Master Thesis, Semester Project
Stable walking is one of the most fundamental dynamic movements to ensure the quality of lifestyle. However, the functionality of these systems deteriorates as people age, leading to a higher risk of falling. Fall-related injuries such as hip fracture, traumatic brain, and upper limb worsen the quality of lifestyle and put immense pressure on personal and social levels (1% of total annual healthcare expenditure; 25billion euros in Europe).
Diagnostic tools to monitor movement deficits and abnormal motor patterns reliably and objectively during daily activities outside of clinical settings are mostly missing. Hence, the interpretation of data is limited. The advanced development of inertial measurement units (IMU) provided an alternative measuring paradigm. However, the characteristic of IMU causes drift in the system, which gets accumulated during calculation, thus giving wrong results. This study aims to develop a robust drift-compensation algorithm to derive spatial gait parameters.
- Biomedical Engineering, Computer Vision, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Simulation and Modelling
- CLS Student Project (MPG ETH CLS), ETH Organization's Labels (ETHZ), Internship, Master Thesis, Semester Project