1 code implementation • 29 Jan 2024 • Amr Gomaa, Guillermo Reyes, Michael Feld, Antonio Krüger
The rapid advancement of the automotive industry towards automated and semi-automated vehicles has rendered traditional methods of vehicle interaction, such as touch-based and voice command systems, inadequate for a widening range of non-driving related tasks, such as referencing objects outside of the vehicle.
no code implementations • 2 Oct 2023 • Amr Gomaa, Guillermo Reyes, Michael Feld
Despite significant advances in gesture recognition technology, recognizing gestures in a driving environment remains challenging due to limited and costly data and its dynamic, ever-changing nature.
1 code implementation • 8 Sep 2023 • Amr Gomaa, Robin Zitt, Guillermo Reyes, Antonio Krüger
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming.
no code implementations • 20 Oct 2022 • Elena Meiser, Alexandra Alles, Samuel Selter, Marco Molz, Amr Gomaa, Guillermo Reyes
Many car accidents are caused by human distractions, including cognitive distractions.
1 code implementation • 10 Aug 2022 • Amr Gomaa, Alexandra Alles, Elena Meiser, Lydia Helene Rupp, Marco Molz, Guillermo Reyes
In this paper, we analyze the effects of mental workload and perceptual load on psychophysiological dimensions and provide a machine learning-based framework for mental and perceptual load estimation in a dual task scenario for in-vehicle interaction (https://github. com/amrgomaaelhady/MWL-PL-estimator).
1 code implementation • 3 Nov 2021 • Amr Gomaa, Guillermo Reyes, Michael Feld
This allows for novel approaches to interaction with the vehicle that go beyond traditional touch-based and voice command approaches, such as emotion recognition, head rotation, eye gaze, and pointing gestures.
1 code implementation • 23 Sep 2020 • Amr Gomaa, Guillermo Reyes, Alexandra Alles, Lydia Rupp, Michael Feld
Hand pointing and eye gaze have been extensively investigated in automotive applications for object selection and referencing.