September 2020

6 total

25SEP 2020
News
We are searching for an apprentice
The MaD Lab is searching for an apprentice as IT specialist. The apprenticeship will start in September 2021. More information
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16SEP 2020
News
New Paper: A Sense of Quality for Augmented Reality Assisted Process Guidance
In this paper, we investigate and present the possible benefits of combining a very powerful Augmented Reality (AR) Headset (Microsoft Hololens) with the Machine Learning (ML) powered tooltracking system. The ongoing automation of modern production processes requires novel human-computer interaction concepts that support employees in dealing with the unstoppable increase in time pressure, cognitive load, […]In this paper, we investigate and present the possible benefits of combining a very powerful Augmented Reality (AR) Headset (Microsoft Hololens) with the Machine Learning (ML) powered tooltracking system. The ongoing automation of modern production processes requires novel human-computer interaction concepts that support employees in dealing with the unstoppable increase in time pressure, cognitive load, […]
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16SEP 2020
News
New Paper: Automated Quality Assurance for Hand-held Tools via Embedded Classification and AutoML
In this paper we motivate, describe and evaluate the Machine Learning enabled tool tracking system, that is jointly developed with Fraunhofer IIS. Despite the ongoing automation of modern production processes, manual labor continues to be necessary due to its flexibility and ease of deployment. Automated processes assure quality and traceability, yet manual labor introduces gaps […]
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14SEP 2020
News
MedTech E-Lab Team PalliCare Publishes their Work
We are proud to announce that our MedTech E-Lab team PalliCare (https://www.mad.tf.fau.de/teaching/innolab/pallicare/) published the work on their prototype at the annual conference of the German Association for Palliative Medicine – “13. DGP Kongress”. The developed system enables home-monitoring of psychometric and physiological parameters of palliative patients. Using their system in a proof-of-concept study, team PalliCare […]We are proud to announce that our MedTech E-Lab team PalliCare (https://www.mad.tf.fau.de/teaching/innolab/pallicare/) published the work on their prototype at the annual conference of the German Association for Palliative Medicine – “13. DGP Kongress”. The developed system enables home-monitoring of psychometric and physiological parameters of palliative patients. Using their system in a proof-of-concept study, team PalliCare […]
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11SEP 2020
News
New Paper: The OnHWDataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning
This paper presents a handwriting recognition (HWR) system that deals with online character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data streams from triaxial acceleration, gyroscope, magnetometer, and force signals at 100??. As most existing datasets do not meet the requirements of online handwriting recognition and as they have been collected using specific […]This paper presents a handwriting recognition (HWR) system that deals with online character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data streams from triaxial acceleration, gyroscope, magnetometer, and force signals at 100??. As most existing datasets do not meet the requirements of online handwriting recognition and as they have been collected using specific […]
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04SEP 2020
News
Our New MaD Woman – Katharina Jäger
Katharina joined the MAD Team in September 2020. She studied Medical Engineering at FAU with focus on pattern recognition and machine learning. For her master’s thesis, she spent 6 months in Belgium collaborating with the maternal and fetal health company Bloomlife. Her main interest was to analyze and interpret uterine activity from electrophysiological sensor data. […]
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