Julian von Wilmsdorff

Julian von Wilmsdorff studied Information Systems Technology at Technical University of Darmstadt and graduated as a Master of Science in 2015. This special course of study combines both electrical engineering and computer science. Since 2014 he has been working as a research scientist in the Smart Living & Biometric Technologies department at the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt.

His sphere of interest focuses on hardware development, hardware-related programming, and firmware programming, specializing in capacitive sensor technology and electric field sensor technology in the field of ubiquitous systems and ambient assistant living. He has already published numerous scientific papers on this topic in journals and conferences. Since his graduation, Mr. von Wilmsdorff has been working on his PhD in his area of expertise of electric field sensing and embedded systems on the subject of "Electric Field Sensing for Ubiquitous and Environmental Perception". He is also responsible for the expansion of the LivingLab at Fraunhofer IGD in Darmstadt (Living Lab | Fraunhofer IGD(link is external)) and is in charge of supervising groups of visitors to whom he demonstrates and explains the applications installed there.

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2023 VeinXam: A Low-Cost Deep Veins Function Assessment
Abt, Vincent; Wilmsdorff, Julian von; Faquiri, Silvia; Kirchbuchner, Florian
Konferenzbeitrag
Conference Paper
2022 Neural Networks for Indoor Localization based on Electric Field Sensing
Kirchbuchner, Florian; Andres, Moritz; Wilmsdorff, Julian von; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2022 Acquisition of EFS and Capacitive Measurement Data on Low-Power and Connected IoT Devices
Wilmsdorff, Julian von; Lenhart, Malte; Kirchbuchner, Florian; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2022 Optimizations for Passive Electric Field Sensing
Wilmsdorff, Julian von; Kuijper, Arjan
Zeitschriftenaufsatz
Journal Article
2022 Long Term Observation and Data Analysis of Active and Passive Capacitive Signals
Abdel-Al, Amany
Master Thesis
2022 Reducing Deployment Cost for Passive Electric Field Sensors
Wilmsdorff, Julian von; Kolf, Jan Niklas; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2022 Passive Electric Field Sensing for Ubiquitous and Environmental Perception
Wilmsdorff, Julian von
Dissertation
Doctoral Thesis
2021 Linoc: A Prototyping Platform for Capacitive and Passive Electrical Field Sensing
Wilmsdorff, Julian von; Lenhart, Malte; Kirchbuchner, Florian; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2019 Performing indoor localization with electric potential sensing
Fu, Biying; Kirchbuchner, Florian; Wilmsdorff, Julian von; Große-Puppendahl, Tobias; Braun, Andreas; Kuijper, Arjan
Zeitschriftenaufsatz
Journal Article
2019 Prototyping Platform for Capacitive and Passive Electrical Field Sensing
Lenhart, Malte
Bachelor Thesis
2019 An experimental overview on electric field sensing
Wilmsdorff, Julian von; Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Kuijper, Arjan
Zeitschriftenaufsatz
Journal Article
2019 Piggybacking Detection Based on Coupled Body-Feet Recognition at Entrance Control
Siegmund, Dirk; Tran, Vinh Phuc; Wilmsdorff, Julian von; Kirchbuchner, Florian; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2018 Prototyping shape-sensing fabrics through physical simulation
Rus, Silvia; Hammacher, Felix; Wilmsdorff, Julian von; Braun, Andreas; Große-Puppendahl, Tobias; Kirchbuchner, Florian; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2018 CapBed - preventive assistance system for the bed area based on capacitive sensing
Ivanov, Ivelin
Master Thesis
2018 Evaluation of activity of daily life recognition based on electric field tokens
Kolf, Jan Niklas
Bachelor Thesis
2018 Step by step: Early detection of diseases using an intelligent floor
Scherf, Lisa; Kirchbuchner, Florian; Wilmsdorff, Julian von; Fu, Biying; Braun, Andreas; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2018 Eliminating the ground reference for wireless electric field sensing
Wilmsdorff, Julian von; Kirchbuchner, Florian; Braun, Andreas; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2017 Indoor localization based on passive electric field sensing
Fu, Biying; Kirchbuchner, Florian; Wilmsdorff, Julian von; Große-Puppendahl, Tobias; Braun, Andreas; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2017 An exploratory study on electric field sensing
Wilmsdorff, Julian von; Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2017 New approaches for localization and activity sensing in smart environments
Kirchbuchner, Florian; Fu, Biying; Braun, Andreas; Wilmsdorff, Julian von
Konferenzbeitrag
Conference Paper
2015 Activity recognition based on electric potential sensing
Wilmsdorff, Julian von
Master Thesis
2015 Context-based document management in smart living environments
Wilmsdorff, Julian von; Marinc, Alexander; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2014 Capacitive Near-Field Communication for Ubiquitous Interaction and Perception
Große-Puppendahl, Tobias; Herber, Sebastian; Wimmer, Raphael; Englert, Frank; Beck, Sebastian; Wilmsdorff, Julian von; Wichert, Reiner; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
2014 Ambient gesture-recognizing surfaces with visual feedback
Große-Puppendahl, Tobias; Beck, Sebastian; Wilbers, Daniel; Zeiß, Steeven; Wilmsdorff, Julian von; Kuijper, Arjan
Konferenzbeitrag
Conference Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica

BGM-Keyboard

The BGM keyboard collects important environmental and vital parameters. Among other things, it measures the ambient noise, pulse and blood oxygen of the user, air pressure & temperature or the user presence. These variables are to be used to detect stress and diseases at an early stage and to counteract them with sensible measures as for example a better break management, the detection of fever illnesses or the warning of carpal tunnel syndrome, just to mention a few possible areas of application.
 

BamLid

A high-tech laboratory for pain and dementia research has been set up at the University of Bamberg to investigate how pain affects everyday behavior in people suffering from dementia. The aim of this project is to provide patients with assistance to help them cope better with everyday life. The behavior of the patients is recorded by cameras and microphones, a smart floor determines, for example, the walking speed, and heart rate and blood pressure are measured, too. One of the project partners was the “Smart Living and Biometric Technology” department of the IGD in Darmstadt, which installed the Smart Floor.

„Mit dieser Einrichtung sind wir weltweit Vorreiter“ - News/Uni Bamberg (uni-bamberg.de)
 

ActiTag

ActiTag is a small, energy-saving motion detector in which passive field sensors are installed to detect motion in a room. It can be used, for example, to automatically switch the light or heating on or off when entering or leaving a room or, in connection with an alarm system, to determine whether an unauthorized person is close to a window or door. The application possibilities are very versatile, not least because no installation costs are incurred.
 

CapFloor

A smart floor for indoor localization can be very useful in many ways. Possible applications range from home automation and burglary protection to detecting of whether a person has fallen on the floor and/or is lying there for a longer period of time. Relatives are than automatically alerted: Living Lab | Fraunhofer IGD.