SiROP
Login   
Language
  • English
    • English
    • German
Home
Menu
  • Login
  • Register
  • Search Opportunity
  • Search Organization
  • Create project alert
Information
  • About SiROP
  • Team
  • Network
  • Partners
  • Imprint
  • Terms & conditions

Institute for Intelligent Interactive Systems

AcronymPC
Homepagehttp://www.pc.inf.ethz.ch/
CountrySwitzerland
ZIP, City 
Address
Phone
TypeAcademy
Top-level organizationETH Zurich
Parent organizationDepartment of Computer Science
Current organizationInstitute for Intelligent Interactive Systems
Child organizations
  • Advanced Interactive Technologies
  • Computational robotics laboratory (Prof. Stelian Coros)
  • Distributed Systems and Ubiquitous Computing
  • Sensing, Interaction & Perception Lab


Open Opportunities

Modeling 3D Human and Performance Capture

  • ETH Zurich
  • Advanced Interactive Technologies

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

A machine learning approach to compensate the drift in IMU sensors

  • ETH Zurich
  • Advanced Interactive Technologies

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

Virtual 3D training environment for biology lab experiments in Virtual Reality

  • ETH Zurich
  • Sensing, Interaction & Perception Lab

Using Unity 3D, we will design a Virtual Reality cytology lab experience to animate the procedures in a biology laboratory and enable users to experience them in VR.

  • Behavioural and Cognitive Sciences, Computer Graphics, Virtual Reality and Related Simulation
  • Bachelor Thesis, Semester Project
SiROP PARTNER INSTITUTIONS