Florian Geiselhart (M. Sc.)
Florian
Geiselhart (M. Sc.)
Florian Geiselhart
Interessen
- Gestenbasierte Interaktion
- Interaktionstechnologien, insbesondere
- Tiefenkamera-Systeme
Projekte
- ASSIST - Blick- und Gestenbasierte Assistenzsysteme für Nutzer mit Bewegungseinschränkungen (in Kooperation mit der Professur für allgemeine Psychologie)
- INTERACT - Interactive Manual Assembly Operations for the Human-Centered Workplaces of the Future
Lehre
WS 13/14
Mensch-Computer-Interaktion I (Projekt)
Research Trends in Media Informatics (Seminar)
SS 14
Mensch-Computer-Interaktion I (Projekt)
WS 14/15
Research Trends in Media Informatics (Seminar)
ab WS16/17
seit Oktober 2016 Lehre im Rahmen einer Vertretungsprofessur für Interaktionsgestaltung an der Hochschule für Gestaltung Schwäbisch Gmünd
Abschlussarbeiten
Bei Interesse an einem Thema für eine Abschlussarbeit im Bereich Gestenbasierte Interaktion, Tiefenkamera-Systeme oder Mensch-Computer-Interaktion, kontaktieren Sie mich bitte per Email.
Publikationen
2019
13.
M.
Rietzler,
G.
Haas,
T.
Dreja,
F.
Geiselhart and
E.
Rukzio,
"Virtual Muscle Force: Communicating Kinesthetic Forces Through Pseudo-Haptic Feedback and Muscle Input"
,
In Proc. of UIST 2019 (ACM Symposium on User Interface Software and Technology),
Okt.
2019.
ACM.
12.
T.
Hirzle,
J.
Gugenheimer,
F.
Geiselhart,
A.
Bulling and
E.
Rukzio,
"A Design Space for Gaze Interaction on Head-Mounted Displays"
,
In Proceedings of CHI 2019 (SIGCHI Conference on Human Factors in Computing Systems),
Mai
2019.
ACM,
https://www.uni-ulm.de/?gazedesignspace.
2018
11.
T.
Hirzle,
J.
Gugenheimer,
F.
Geiselhart,
A.
Bulling and
E.
Rukzio,
"Towards a Symbiotic Human-Machine Depth Sensor: Exploring 3D Gaze for Object Reconstruction"
,
In Adj. Proc. of UIST '18 (ACM Symposium on User Interface Software and Technology),
Okt.
2018.
https://www.uni-ulm.de/?hm_depthsensor.
| DOI: | 10.1145/3266037.3266119 |
| Datei: |  https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2018/3DGazeAbstractUIST2018_both.pdf |
10.
M.
Rietzler,
F.
Geiselhart,
J.
Gugenheimer and
E.
Rukzio,
"Breaking the Tracking: Enabling Weight Perception using Perceivable Tracking Offsets"
,
In Proc. of CHI 2018 (SIGCHI Conference on Human Factors in Computing Systems,
Apr.
2018.
| DOI: | 10.1145/3173574.3173702 |
| Weblink: | https://youtu.be/IqFZy6wg_sc |
| Datei: | fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/rietzler/Breaking_the_Tracking.pdf |
9.
M.
Rietzler,
F.
Geiselhart,
J.
Frommel and
E.
Rukzio,
"Conveying the Perception of Kinesthetic Feedback in Virtual Reality using State-of-the-Art Hardware"
,
In Proc. of CHI 2018 (SIGCHI Conference on Human Factors in Computing Systems,
Apr.
2018.
| DOI: | 10.1145/3173574.3174034 |
| Weblink: | https://youtu.be/IMiHyTDCE4o |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/rietzler/ConveyingThePerception.pdf |
8.
M.
Rietzler,
F.
Geiselhart,
J.
Brich and
E.
Rukzio,
"Demo of the Matrix Has You: Realizing Slow Motion in Full-Body Virtual Reality"
,
In Adj. Proc. of IEEE VR 2018 (2018 IEEE Conference on Virtual Reality and 3D User Interfaces),
Mä.
2018.
| DOI: | 10.1109/VR.2018.8446136 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/rietzler/document.pdf |
2017
7.
M.
Rietzler,
F.
Geiselhart and
E.
Rukzio,
"The Matrix Has You: Realizing Slow Motion in Full-Body Virtual Reality"
,
In Proc. of VRST 2017 (23rd ACM Symposium on Virtual Reality Software and Technology),
Nov.
2017.
| DOI: | 10.1145/3139131.3139145 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/geiselhart/a2-reitzler.pdf |
6.
M.
Otto,
P.
Agethen,
F.
Geiselhart,
M.
Rietzler,
F.
Gaisbauer and
E.
Rukzio,
"Presenting a Holistic Framework for Scalable, Marker-less Motion Capturing: Skeletal Tracking Performance Analysis, Sensor Fusion Algorithms and Usage in Automotive Industry"
,
Journal of Virtual Reality and Broadcasting,
vol. 13,
no. 3,
2017.
http://www.jvrb.org/past-issues/13.2016/4481.
| DOI: | 10.20385/1860-2037/13.2016.3 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/1320163.pdf |
2016
5.
F.
Geiselhart,
M.
Rietzler and
E.
Rukzio,
"EyeVR - Low Cost VR Eye Interaction "
,
In Adj. Proc. (Demo) of Ubicomp 2016 (ACM International Joint Conference on Pervasive and Ubiquitous Computing),
Sep.
2016.
| DOI: | 10.1145/2968219.2971384 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/EyeVRUbicompDemo2016.pdf |
4.
M.
Rietzler,
F.
Geiselhart,
J.
Thomas and
E.
Rukzio,
"FusionKit: A Generic Toolkit for Skeleton, Marker and Rigid-Body Tracking"
,
In Proc. of EICS 2016 (8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems),
Jun.
2016.
https://youtu.be/ZQoDrKShPfk.
| DOI: | 10.1145/2933242.2933263 |
| Weblink: | https://www.uni-ulm.de/index.php?id=85220 |
| Datei: | https://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2016/FusionKit.pdf |
2015
3.
K.
Plaumann,
J.
Ehlers,
F.
Geiselhart,
G.
Yuras,
A.
Huckauf and
E.
Rukzio,
"Better than you Think: Head Gestures for Mid Air Input"
,
In Proc. of Interact 2015 (IFIP TC15 Conference on Human-Computer Interaction),
Sep.
2015.
Springer,
http://www.uni-ulm.de/en/in/mi/mi-forschung/research-group-rukzio/projects/assist/.
| DOI: | 10.1007/978-3-319-22698-9_36 |
| Datei: | http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2015/InteractPaper.pdf |
2.
F.
Geiselhart,
M.
Otto and
E.
Rukzio,
"On the use of Multi-Depth-Camera based Motion Tracking Systems in
Production Planning Environments"
,
In Proc. of CIRP CMS 2015 (48th CIRP Conference on Manufacturing Systems),
Jun.
2015.
Elsevier.
| DOI: | 10.1016/j.procir.2015.12.088 |
| Datei: | fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/geiselhart/cirp_cms15_geiselhart.pdf |
1.
M.
Otto,
P.
Agethen,
F.
Geiselhart and
E.
Rukzio,
"Towards ubiquitous tracking: Presenting a scalable, markerless tracking approach using multiple depth cameras"
in In Proc. of EuroVR 2015 (European Association for Virtual Reality and Augmented Reality), Best Industrial Paper award,
EuroVR 2015,
Milano,
2015.
| Datei: | fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Rukzio/2015/OttoEtAl_Towards_ubiquituous_tracking.pdf |
Sonstige wissenschaftliche Aktivitäten
Reviewer für:
- CHI 2015
- TEI 2015
- AugmentedHuman 2015
- NIME 2016
- PerDis 2016
- AugmentedHuman 2016
- CHI 2017