D
Daniel Bachmann
Researcher at Technical University of Dortmund
Publications - 13
Citations - 1149
Daniel Bachmann is an academic researcher from Technical University of Dortmund. The author has contributed to research in topics: Flood myth & Environmental science. The author has an hindex of 6, co-authored 8 publications receiving 968 citations.
Papers
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Journal ArticleDOI
Analysis of the Accuracy and Robustness of the Leap Motion Controller
TL;DR: Using the conclusion of this analysis can improve the development of applications for the Leap Motion controller in the field of Human-Computer Interaction.
Journal ArticleDOI
Evaluation of the leap motion controller as a new contact-free pointing device.
TL;DR: A Fitts' law-based analysis of the user's performance in selection tasks with the Leap Motion Controller compared with a standard mouse device is presented, at least with regard to the selection recognition provided by the LMC.
Journal ArticleDOI
Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller
TL;DR: The purpose of this paper is to survey the state-of-the-art Human-Computer Interaction techniques with a focus on the special field of three-dimensional interaction, including an overview of currently available interaction devices, their applications of usage and underlying methods for gesture design and recognition.
Posted Content
Agent-based Simulation of Pedestrian Dynamics for Exposure Time Estimation in Epidemic Risk Assessment
TL;DR: An agent-based numerical simulation of pedestrian dynamics is proposed in order to assess the behavior of pedestrians in public places in the context of contact transmission of infectious diseases like COVID-19, and to gather insights about exposure times and the overall effectiveness of distancing measures.
Journal ArticleDOI
Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment.
TL;DR: In this article, an agent-based numerical simulation of pedestrian dynamics in order to assess the behavior of pedestrians in public places in the context of contact transmission of infectious diseases like COVID-19, and to gather insights about exposure times and the overall effectiveness of distancing measures.