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2020

Michael Haller, Media Interaction Lab - AUSTRIA

Imperceptible Textile Interfaces

Postponed

Room: TBD

Abstract:
In the last fifteen years, we have witnessed a dramatic trans formation of our society through the
miniaturization of computing technologies. This introduced a new age in which people can access the
power of computing devices on-demand, just by reaching into their pockets. While such electronics can
be helpful in numerous situations, these technologies alone have limited reach and impact. With
“Imperceptible Textile Interfaces”, our vision is to embed intelligence into the ubiquitous medium of
textiles, thereby ushering in a new era in which everyday objects and even the very clothes we wear
can play an unobtrusive yet always-accessible and powerful role in enhancing our experience of all
aspects of our lives ranging from transportation and communication to work and play. In this talk, we
will present a novel sensing approach enabling a new kind of yarn-based, resistive pressure sensing.

About the Speaker:
Michael Haller is a professor at the department of Interactive Media of the University of Applied
Sciences Upper Austria (Hagenberg, Austria), where he is founder and director of the Media Interaction
Lab (www.mi-lab.org), responsible for computer graphics & human-computer interaction. His core areas
of expertise are smart graphics and the development of next-generation user interfaces. He received
Dipl.-Ing. (1997), Dr. techn. (2001), and Habilitation (2007) degrees from Johannes Kepler University
of Linz, Austria. His current focus is on innovative interaction techniques and smart interfaces for next
generation working environments. Currently, he leads a team of over 10 researchers and students. He
has been awarded the Erwin Schrödinger Fellowship Award, Google Research Award, Europrix Top
Talent Award, Best ACM SIGGRAPH Emerging Technologies Award, and Microsoft Imagine Cup. Six
of his papers were awarded best paper or honorable mention at top HCI venues including ACM CHI
and ACM UIST.

Suggested readings:

  • Ou, Jifei & Oran, Daniel & Haddad, Don D. & Paradiso, Joseph & Ishii, Hiroshi. (2019). SensorKnit: Architecting
    Textile Sensors with Machine Knitting. 3D Printing and Additive Manufacturing.
  • Ivan Poupyrev, Nan-Wei Gong, Shiho Fukuhara, Mustafa Emre Karagozler, Carsten Schwesig, and Karen E.
    Robinson. 2016. Project Jacquard: Interactive Digital Textiles at Scale. In Proceedings of the 2016 CHI
    Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 4216-4227.
  • Alex Olwal, Jon Moeller, Greg Priest-Dorman, Thad Starner, and Ben Carroll. 2018. I/O Braid: Scalable Touch-
    Sensitive Lighted Cords Using Spiraling, Repeating Sensing Textiles and Fiber Optics. In Proceedings of the 31st
    Annual ACM Symposium on User Interface Software and Technology (UIST '18). ACM, New York, NY, USA,
    485-497.
  • Patrick Parzer, Florian Perteneder, Kathrin Probst, Christian Rendl, Joanne Leong, Sarah Schuetz, Anita Vogl,
    Reinhard Schwoediauer, Martin Kaltenbrunner, Siegfried Bauer, and Michael Haller. 2018. RESi: A Highly
    Flexible, Pressure-Sensitive, Imperceptible Textile Interface Based on Resistive Yarns. In Proceedings of the
    31st Annual ACM Symposium on User Interface Software and Technology (UIST '18). ACM, New York, NY,
    USA, 745-756.

Friedrich Fraundorfer, Graz University of Technology

AI and computer vision for autonomous drones and robots

January 28th, 2020, 3:00 pm CET

Room: Science Park Building 3, Room 063

Abstract:
Drones are small scale flying robots and it is predicted that the drone market as well as the general robotics market will see a major growth in the near future. AI and computer vision will play a major role in shaping the future autonomous drones. In my talk I will give an overview of the use of AI and computer vision techniques in robotics and for drones in particular. I will then follow up by presenting developments in this area done in my lab, which will include the topics of 3D mapping, localization, path planning and environment interpretation.

About the Speaker:
Friedrich Fraundorfer is Assistant Professor at Graz University of Technology, Austria since October 2014. He received the Ph.D. degree in computer science from TU Graz, Austria in 2006 working at the Institute of Computer Graphics and Vision headed by Franz Leberl and Horst Bischof. He had post-doc stays at the University of Kentucky (US), at the University of North Carolina at Chapel Hill (US) and at ETH Zürich (Switzerland). From 2012 to 2014 he acted as Deputy Director of the Chair of Remote Sensing Technology at the Faculty of Civil, Geo and Environmental Engineering at the Technische Universität München.
Friedrich Fraundorfer has been involved in multiple international and multinational research projects as project leader, investigator and collaborator, the EU project SFly (http://www.sfly.org/), a 4-year SNFproject about autonomous micro UAV’s, the EU project VCHARGE (http://www.v-charge.eu/). Currently he acts as PI for the H2020 project SLIM (http://www.slim-project.eu/) and RESIST and as project leader for various industry collaborations. His main research areas are 3D Computer Vision and its use for robotics using modern machine learning techniques. He is the author of a well perceived two-part tutorial about visual odometry in the IEEE Robotics and Automation Magazine. https://www.tugraz.at/institute/icg/research/team-fraundorfer/