Michael Lorenz won a best Paper award

We are glad to announce that our colleague Michael Lorenz won a best Paper award for his work On Motions artifacts arising when integrating inertial sensors into loose clothing such as a working jacket.

Abstract

  • Inertial human motion capture (IHMC) has become a robust tool to estimate human kinematics in the wild such as industrial facilities.
  • In contrast to optical motion capture, where occlusions might take place, the kinematics of a worker can be continuously provided.
  • This is for instance a prerequisite for an ergonomic assessments of the workers.
  • State-of-the-art IHMC solutions require inertial sensors to be tightly attached to body segments.
  • This requires an additional setup time and lowers the practicability and ease of use when it comes to an industrial application.
  • In contrast, sensors integrated into loose clothing such as a working jacket, may yield corrupted kinematics estimates due to the additional motion of loose clothing.
  • In this work we present a study of orientations deviations obtained from kinematics estimates using tightly attached inertial sensors and into a working jacket integrated ones.
  • We performed a quantitative analysis using data from the two hardware setups worn by 19 subjects performing different industry related tasks and measures of their body shapes.
  • Using this data we approximated probability distributions of the deviation angles for each person and body segment.
  • Applying different statistical measures we could gain insights to questions like, how severe orientation deviations are, if there is an influence of body shapes on the distribution and how probability distributions of the deviation angles can indicate physical motion limitations of a sensor attached to a segment.
3rd place in Scan-to-BIM challenge (CV4_AEC Workshop, CVPR 2023) for HumanTech project team

The team of the EU Horizon Project HumanTech , consisting of Mahdi Chamseddine and Dr. Jason Rambach from DFKI Augmented Vision as well as Fabian Kaufmann from RPTU Kaiserslautern – department of Civil Engineering, received the 3rd place prize in the Scan-to-BIM challenge of the (Computer Vision in the Built Environment) CV4_AEC Workshop of the CVPR 2023 conference.

On the 18.6, the team presented their solution and results as part of the workshop program. Scan-to-BIM solutions are of great importance for the construction community as they automate the generation of as-built models of buildings from 3D scans, and can be used for quality monitoring, robotic task planning and XR visualization, among other applications.

HumanTech project: https://humantech-horizon.eu/

CV4AEC Workshop page: https://cv4aec.github.io/

Contact: Dr. Jason Rambach , Mahdi Chamseddine

Special Issue on the IEEE ARSO 2023 Conference: Human Factors in Construction Robotics

Dr. Jason Rambach, coordinator of the EU Horizon Project HumanTech co-organized a special session on “Human Factors in Construction Robotics” at the IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO 2023) in Berlin, Germany (5.6-7.6). The organization of the special session was done by Jason Rambach, Gabor Sziebig, Research Manager at SINTEF, and Mihoko Niitsuma, Professor at Chuo University.

The program of the special session included the following talks:

  • Serena Ivaldi (INRIA) – Teleoperating a robot for removing asbestos tiles on roofs: Insights from a pilot study
  • Jason Rambach (DFKI) – Machine perception for human-robot handover scenarios in construction
  • Patricia Helen Rosen (BAUA) – Design recommendations for construction robots – a human-centred perspective
  • Dimitrios Giakoumis (CERTH ITI) – Designing human-robot interaction interfaces for shotcrete construction robots; the RobetArme project case

HumanTech project: https://humantech-horizon.eu/

Contact: Dr. Jason Rambach