Ongoing projects

AAmI-VR: Applicability of Ambient Intelligence Approaches in Virtual Reality

AAmI-VR: Applicability of Ambient Intelligence Approaches in Virtual Reality

Ambient Intelligence (AmI) describes approaches in which a smart, networked sensor system embedded into the environment reacts to the presence of people and supports them using artificial intelligence methods. As part of the “AAmI-VR” project, buildings and urban environments are modelled in virtual reality (VR) in order to derive insights into user interaction from the corresponding VR simulation.

Machine learning methods are used to detect corresponding patterns. Smart sensor nodes are used (edge computing) to implement autonomous systems that can simultaneously take personal privacy into consideration. This means that the environment should respond differently to different groups of people. In turn, this allows structural alternatives and different effects to be investigated in order to derive findings for low-threshold and adaptive support for people in real-life situations without time- and resource-consuming construction measures or field tests.

In this project, two prototypes of a user-adaptive information and orientation system will be developed, one for indoor use and one for outdoor use. Development and implementation will be carried out together with stakeholders (e.g. the Disability Council of the City of Nuremberg, the Traffic Planning Office of the City of Fürth, Bluepingu e.V.) using two use cases as examples:

  • accessible, multimodal information station in Nuremberg Tech’s new library (indoor).
  • adaptive speed recommendation for cyclists to support a green wave on a stretch of road in Fürth city center (outdoor)

The aim of the project is to develop an innovative simulation and planning tool to create sustainable and inclusive concepts for a smart city.

 

 

Project leader: Prof. Timo Götzelmann

Project participants: Prof. Wolfram Stephan, Prof. Harald Kipke, Prof. Frank Ebinger, Julian Kreimeier, Florian Büttner, Michael Buschbacher 

Funding amount (as given on grant letter): 95,259.00 euros

 

Duration: May 2020 - December 2021

funded by LEONARDO – Center for Creativity and Innovation, as part of the
“Innovative Hochschule” project funded by the Federal Ministry of Education and Research, funding code 031HS098A

Completed projects

BIMVIP – Building Information Modelling for Visually Impaired People

Independent navigation through unknown environments presents a significant challenge for blind and visually impaired people in particular. This project aims to demonstrate how unfamiliar buildings can be safely and independently navigated in advance through the use of virtual reality (VR) and treadmills. For many new buildings, the design and planning takes place using 3D BIM models. The data from these models allow for better use in terms of accessibility. 


Project leader: Prof. Timo Götzelmann

Project participants: Prof. Wolfram Stephan, Julian Kreimeier, Florian Büttner, Michael Buschbacher

University(ies): Nuremberg Tech, Faculties of Computer Science, Mechanical Engineering and Building Services Engineering, and Civil Engineering, and the Institute for Energy and Building (ieg)

Funding amount (as given on grant letter): 24,520.00 euros

 

Duration: March 2019 - December 2019

funded by LEONARDO – Center for Creativity and Innovation, as part of the
“Innovative Hochschule” project funded by the Federal Ministry of Education and Research, funding code 031HS098A

CoPAH-VR (Comparison of Passive and Active Haptics in Virtual Reality)

This educational research project investigates how the type of haptic feedback used affects the usability of a virtual environment. The project team consists of the applicant and four students from the Computer Science bachelor’s degree programme (3rd study semester). Once the students had revisited the relevant content from the relevant courses, research questions were defined together and possible options for answering them in practice were discussed. Software prototypes were then developed on that basis to investigate the questions in multiple scenarios. Three different virtual scenarios with different interaction possibilities are being investigated.

These will now be evaluated through user studies and assessed with the help of the applicant. The results of this assessment will then be discussed together and the possibility of presentation at a relevant scientific conference will be assessed, thereby giving the students an insight into how research results are used, along with the production experience they will gain.

 

Project leader: Prof. Timo Götzelmann

Project participants: Jonas Wluka, Christina Wäger, Georgi Yakov, Valtteri Saino, Petar Yakov

Funding amount (as given on grant letter): 6,600.00 euros

 

Duration: March 2018 - December 2018

funded as part of the “Educational research – research-based learning 2019” programme.

N-ERGIE Harvester: Self-sufficient energy supply for modern IoT microcontrollers through waste body heat.

The Internet of Things (IoT) is developing rapidly and striving to connect physical realities with the virtual world. In contrast to computers or smartphones, its aim is to support people without being noticed – here, technology takes a back seat. To achieve this, small, multifunctional computing units, such as the popular ESP32 IoT microcontroller, are used. These fingernail-sized chips contain not only processors but also all kinds of communication interfaces for Bluetooth and Wi-Fi. This allows a wide range of sensors to be connected with little effort.

Although the energy consumption of these small units is low, an energy source is still required. However, alternatives to finite energy sources are beginning to emerge. Using special circuits, tiny amounts of energy can be continuously collected (a process known as energy harvesting) and then specifically used to take measurements at defined time intervals and publish them (e.g. via display or internet). The project seeks to use perpetual human body heat as the energy source to supply the microcontroller with energy using special electrothermal converters (Peltier elements).

The aim of the project was to create an operable prototype that can be integrated into clothing (smart clothes). The ideal outcome would be the creation of a T-shirt integrating the following components: Peltier elements (thermoelectric conversion), harvesting module (energy collection), intermediate storage, microcontroller, and low-energy display.

 

Project leader: Prof. Timo Götzelmann

Project participants: NERGIE AG, Michael Ganz, Darell Parker (Nuremberg Tech)

Funding amount (as given on grant letter): 4,000.00 euros

 

Duration: November 2018 – February 2020

funded by NERGIE AG, Nuremberg

HaFeVAR (Haptic Feedback in Virtual and Augmented Reality)

This educational research project ...

 

Project leader: Prof. Timo Götzelmann

Project participants: Pascal Karg, Daniel Friedmann, Sebastian Hammer, Clemens Bühner, Lukas Bankel

Funding amount (as given on grant letter): 7,250.00 euros

 

Duration: March 2018 - December 2018

funded as part of the “Educational research – research-based learning 2018” programme.

Blind3DSupport (3D printing with soluble support structures for blind people)

This educational research project ...

 

Project leader: Prof. Timo Götzelmann

Project participants: Lisa Branz, Markus Otto, Claudia Heidenreich, Christoph Huxhagen

Funding amount (as given on grant letter): 3,750.00 euros

 

Duration: March 2015 - December 2015

funded as part of the “Educational research – research-based learning 2015” programme.

Blind3DComp (tactile maps for blind people, made with 3D printers)

This educational research project ...

 

Project leader: Prof. Timo Götzelmann

Project participants: Bildungszentrum für blinde und Sehbehinderte Nürnberg (Educational Center for the Blind and Visually Impaired, Nuremberg, BBS),

Funding amount (as given on grant letter): 4,250.00 euros

 

Duration: March 2014 - December 2014

funded as part of the “Educational research – research-based learning 2014” programme.