DFKI - Interactive Machine Learning Lab

  • Home
  • Projects
  • News
  • People
  • Publications
  • Teaching
    • Courses
    • Writing a Thesis
    • Bachelor/Master Thesis at Oldenburg University
  • Jobs

Lecturer at the 2019 UPLINX Machine Learning School

Published by Michael Barz on September 27, 2019September 27, 2019

Lecturer at the 2019 UPLINX Machine Learning School. Michael Barz presents research topics from our group, e.g., how interactive machine learning and eye tracking can be used to support dementia patients in everyday life.

Categories:
Tags: Machine LearningTeaching

Search
Categories
  • HCI & Virtual Reality
  • Lighthouse Project
  • Machine Learning
  • Multimodality
  • Natural Language Processing

Related Posts

Multimodality

EyeLogin – Calibration-free Authentication Method For Public Displays Using Eye Gaze

Motivation The usage of interactive public displays has increased including the number of sensitive applications and, hence, the demand for user authentication methods. We implement a calibration-free authentication method for situated displays based on saccadic Read more…

Machine Learning

Visual Search Target Inference for Pro-active User Support

Visual Search Target Inference in Natural Interaction Settings with Machine Learning Visual search is a perceptual task in which humans aim at identifying a search target object such as a traffic sign among other objects. Read more…

Multimodality

Digital Pens in Education

Digital pen signals were shown to be predictive for cognitive states, cognitive load and emotion in educational settings. We investigate whether low-level pen-based features can predict the difficulty of tasks in a cognitive test and Read more…

  • News
  • Teaching
  • Thesis Advisors
  • Home
  • Projects
  • People
  • Publications
  • Legal Information / Impressum
  • Privacy Policy
Hestia | Developed by ThemeIsle