About Robin T. Bye

My name is Robin T. Bye and I am an associate professor in automation engineering and member of the Software and Intelligent Control Engineering Laboratory (SoftICE Lab) at NTNU in Ålesund (formerly Aalesund University College), the Ålesund Campus of the Norwegian University of Science and Technology. Apart from teaching automation and computer engineering classes the bachelor and master level on topics such as artificial intelligence, cybernetics, microcontrollers, and intelligent systems, I also supervise PhD, master, and bachelor students on their thesis topics. My main research interests belong to the broad areas of artificial intelligence (AI) and cybernetics, specifically topics such as intelligent control engineering, virtual prototyping, neuroengineering and brain control, as well as dynamic resource allocation and operations research, and also research in teaching and education.

SoftICE presenting intelligent virtual prototyping at ECMS 2017

SoftICE members Robin T. Bye and Ibrahim A. Hameed will be presenting some recent research results on intelligent virtual prototyping of maritime winches in two scientific papers to be presented at the 31st European Conference on Modelling and Simulation (ECMS) 2017 in Budapest, Hungary, on 23–26 May. The papers are co-authored by the two abovementioned researchers together with SoftICE colleagues Ottar L. Osen and  Webjørn Rekdalsbakken, as well as Birger Skogeng Pedersen (Mechatronics Lab, NTNU):

  • Robin T. Bye, Ibrahim A. Hameed, Birger Skogeng Pedersen, and Ottar L. Osen. An intelligent winch prototyping tool. In Proceedings of the 31st European Conference on Modelling and Simulation (ECMS ’17), May 2017. Download pdf.
  • Ibrahim A. Hameed, Robin T. Bye, Birger Skogeng Pedersen, and Ottar L. Osen. Evolutionary winch design using an online winch prototyping tool. In Proceedings of the 31st European Conference on Modelling and Simulation (ECMS ’17), May 2017. Download pdf.

A Prezi presentation of the first paper is available here:

Interactive Prezi presentation: An Intelligent Winch Prototyping Tool (ECMS’17)The full papers are available for download here:  http://www.robinbye.com | Publications

The paper abstracts are provided at the end of this blog post.

Intelligent computer-automated design of cranes and winches

W build on our earlier work on intelligent computer-automated product design, where we have used methods from artificial intelligence (AI) such as genetic algorithms (GAs), particle swarm optimisation (PSO), and simulated annealing (SA) to optimise offshore crane design. Within a matter of only minutes, the algorithms were able to outperform the design of a real and delivered offshore crane with respect to some desired key performance indicators (KPIs). A human being would likely spend days or weeks to obtain the same results.

Generic and modular product optimization system.

Here, we focus on an intelligent winch prototyping tool (WPT):

Intelligent Winch Prototyping Tool (WPT)

We perform several test with various algorithms and are able to optimize a set of winch design parameter values that yield winch designs with suitable torque profiles:

Torque profiles for winch. The black profile has been optimized by means of a GA.

Abstract: An intelligent winch prototyping tool

In this paper we present a recently developed intelligent winch prototyping tool for ptimising the design of maritime winches, continuing our recent line of work using
artificial intelligence for intelligent computer-automated design of offshore cranes. The tool consists of three main components: (i) a winch calculator for determining key
performance indicators for a given winch design; (ii) a genetic algorithm that interrogates the winch calculator to optimise a chosen set of design parameters; and (iii) a web graphical user interface connected with (i) and (ii) such that winch designers can use it to manually design new winches or optimise the design by the click of a button. We demonstrate the feasibility of our work by a case study in which we improve the torque profiles of a default winch design by means of optimisation. Extending our generic and modular software framework for intelligent product optimisation, the winch calculator can easily be interfaced to external product optimisation clients by means of the HTTP and WebSocket protocols and a standardised JSON data format. In an accompanying paper submitted concurrently to this conference, we present one such client developed in Matlab that incorporates a variety of intelligent algorithms for the optimisation of maritime winch design.

Abstract: Evolutionary winch design using an online winch prototyping tool

This paper extends the work of a concurrent paper on an intelligent winch prototyping tool (WPT) that is part of a generic and modular software framework for intelligent computer-automated product design. Within this framework, we have implemented a Matlab winch optimisation client (MWOC) that connects to the WPT and employs four evolutionary optimisation algorithms to optimise winch design. The four algorithms we employ are (i) a genetic algorithm (GA), (ii) particle swarm optimisation (PSO), (iii) simulated annealing (SA), and (iv) a multi-objective optimisation genetic algorithm (MOOGA). Here, we explore the capabilities of MWOC in a case study where we show that given a set of design guidelines and a suitable objective function based on these guidelines, we are able to optimise a particular winch design with respect to some desired design criteria. Our research has taken place in close cooperation with two maritime industrial partners, Seaonics AS and ICD Software AS, through two innovation and research projects on applying artificial intelligence for intelligent computer-automated design of maritime equipment such as offshore cranes and maritime
winches.

More information

We have previously presented some details of our work on intelligent virtual prototyping of cranes and winches in earlier blog posts:

Acknowledgements

The SoftICE lab at NTNU in Ålesund wishes to thank ICD Software AS for their contribution in the software development process, and Seaonics AS for providing
documentation and insight into the design and manufacturing process of offshore cranes. We are also grateful for the support provided by Regionalt Forskningsfond
(RFF) Midt-Norge and the Research Council of Norway through the VRI research projects Artificial Intelligence for Crane Design (Kunstig intelligens for krandesign
(KIK)), grant no. 241238, and Artificial Intelligence for Winch Design (Kunstig intelligens for vinsjdesign (KIV)), grant no. 249171.

Collaboration?

Parties interested in research collaboration, testing our software, or more information are encouraged to contact us.

The SoftICE Lab

NTNU Ålesund students win prestigious automation engineering award on USVs for aqua farm inspection

Better late than never!

In February 2017, bachelor students of automation engineering at NTNU Ålesund, Albert Havnegjerde, Vegard Kamsvåg og Sveinung Liavaag, won the prestigious Norwegian national award for the best bachelor thesis 2016 on automatic control given by the Norwegian Society for Automatic Control (NFA).

Jury member Rune Volden from Ulstein Power & Control hands over the award to NTNU Ålesund students Sveinung Liavaag and Albert Havnegjerde. Vegard Kamsvåg was unable to attend. Image courtesy: NFA

The students also co-wrote a paper based on their work together with SoftICE members Robin T. Bye and Ottar L. Osen (student supervisor) that was presented at IEEE Techno-Ocean 2016 and subsequently published in the proceedings:

  • Ottar L. Osen, Albert Havnegjerde, Vegard Kamsvåg, Sveinung Liavaag, and Robin T. Bye. A Low Cost USV for Aqua Farm Inspection. In Proceedings of IEEE Techno-Ocean ’16, pages 291–298, October 2016.

In their work, the students employed rapid prototyping to develop a low cost (~2000 EUR) remotely controlled unmanned surface vessel (USV) intended for inspection of aqua farms whilst incorporating a dynamic positioning (DP) system.

This work was partly financed by an internal educational project called Research-based and Innovation-driven Learning through Final Year Projects (Forskningsbasert og innovasjonsdrevet læring gjennom avsluttende oppgave – FILA).

The full paper and the conference presentation is available for download here: www.robinbye.com | Publications

Abstract: A Low Cost USV for Aqua Farm Inspection

This paper describes the rapid prototyping of a low cost remotely controlled unmanned surface vessel (USV) intended for inspection of aqua farms. There is an increased focus on inspection of ocean-based aqua farms due to three major challenges: escaping fish, sea lice, and algae. Escaping fish may bring diseases to other fish or interbreed with wild fish and damage their gene material. Sea lice is a parasite that may seriously damage the fish, lower its food quality, and if not treated, can spawn and multiply into an epidemic. Finally, algae blooms may lower oxygen levels and kill the fish. To proactively counter these challenges, aqua farm operators need to regularly inspect the fish cages for holes, the water for algae, and the fish for sea lice. Modern ocean-based aqua farms are usually constructed with two rows of sea cages separated by a gangway in the middle, often with a small operation and machinery building at one end. Staff visually inspect the cages from above and from the nearside by walking up and down the gangway. Inspection of the outer side of a cage will normally require a boat with a human inspector on board, whereas subsea inspection will normally require a human diver. Here, we propose a USV design solution for this kind of inspection that provides the aqua farm operator with a remotely controlled unmanned boat and subsea video feed. A working prototype has been designed in less than six months and successfully tested at sea.

Index Terms—USV; ROV; dynamic positioning; low cost; commercial off-the-shelf; rapid prototyping; aquaculture.

Undervisningsseminar 27. mars

Undervisningsseminar

Automagisk sensur, adaptivt læringsverktøy, og aktiv læring

mandag 27. mars 2017 kl. 10-12

Auditorium Nørvasundet, Hovedbygningen, NTNU i Ålesund

Software and Intelligent Control Engineering (SoftICE) Laboratory ved Institutt for IKT og realfag (IIR) inviterer med dette til åpent seminar om moderne undervisning i høyere utdanning.

Program

10.00 Åpning v/Annik Magerholm Fet, viserektor, NTNU

10.05 System for automatisk individuell faglig begrunnelse og tilbakemelding v/Omid Mirmotahari, førsteamanuensis, Studielaben, Institutt for informatikk, UiO

11.00 Adaptivt læringsverktøy for matematikk v/Siebe van Albada, studieprogramleder simulering og visualisering, IIR, NTNU

11.20 Modelleringsverktøy for dingser v/Adrian Rutle, studiekoordinator informasjonsteknologi, Institutt for data- og realfag, HVL

11.40 Aktiv læring i matematikk v/Hans Georg Schaathun, professor, SoftICE Lab, IIR, NTNU

12.00 Avslutning

Hovedinnlegget holdes av Omid Mirmotahari, som har vunnet en rekke priser for undervisning, forskning og formidling. Nylig har han også figurert i media med innovative “automagiske” system for automatisk individuell faglig begrunnelse og tilbakemelding:

For mer informasjon, kontakt Robin T. Bye på robin.t.bye@ntnu.no eller +47 40082880.

Invitasjon til seminar: Undervisningsseminar2017.pdf

SoftICE presents educational research at CSEDU 2017

SoftICE members Ottar L. Osen and Robin T. Bye and will be presenting two educational research papers at the 9th International Conference on Computer Supported Education (CSEDU 2017) in Porto, Portugal on 21–23 April:

  • Ottar L. Osen and Robin T. Bye. Reflections on teaching electrical and computer engineering courses at the bachelor level. In Proceedings of the 9th International Conference on Computer Supported Education — Volume 2: CSEDU (CSEDU ’17), pages 57–68. INSTICC, SCITEPRESS, April 2017. Download pdf.
  • Robin T. Bye. The teacher as a facilitator for learning: Flipped classroom in a master’s course on artificial intelligence. In Proceedings of the 9th International Conference on Computer Supported Education — Volume 1: CSEDU (CSEDU ’17), pages 184–195. INSTICC, SCITEPRESS, April 2017. Download pdf.

The full papers and other work is available for download here: http://www.robinbye.com | Publications

The paper abstracts are provided below.

Reflections on teaching electrical and computer engineering courses at the bachelor level

This paper reflects on a number of observations the authors have made over many years of teaching courses in electrical and computer engineering bachelor programmes.
We suggest various methods and tips for improving lectures, attendance, group work, and compulsory coursework, and discuss aspects of facilitating active learning, focussing on simple in-classroom activities and larger problem-based activities such as assignments, projects, and laboratory work. Moreover, we identify solving real-world problems by means of practical application of relevant theory as key to achieving intended learning outcomes. Our observations and reflections are then put into a theoretical context, including students’ approaches of learning, constructive alignment, active learning, and problem-based versus problem-solving learning. Finally, we present and discuss some recent results from a student evaluation survey and draw some conclusions.

The teacher as a facilitator for learning: Flipped classroom in a master’s course on artificial intelligence

In this paper, I present a flipped classroom approach for teaching a master’s course on artificial intelligence. Traditional lectures in the classroom are outsourced to an open online course to free up valuable time for active, in-class learning activities. In addition, students design and implement intelligent algorithms for solving a variety of relevant problems cherrypicked from online game-like code development platforms. Learning activities are carefully chosen to align with intended learning outcomes, course curriculum, and assessment to allow for learning to be constructed by the students themselves under guidance by the teacher, much in accord with the theory of constructive alignment. Thus, the teacher acts as a facilitator for learning, much similar to that of a personal trainer or a coach. I present an overview of relevant literature, the course content and teaching methods, and a recent course evaluation, before I discuss some limiting frame factors and challenges with the approach and point to future work.

Opening of Telenor-NTNU AI-Lab and its first Hackathon

The Telenor-NTNU AI-Lab was officially opened on 8 March 2017, when several prominent guests, including Norwegian Minister of Trade and Industry Monica Mæland, Norwegian Minister of Culture Linda Hofstad Helleland, SINTEF CEO Alexandra Bech Gjørv, and Telenor CEO Sigve Brekke, amongst others, joined NTNU rector Gunnar Bovim and head of the Department of Computer Science at NTNU, Letizia Jaccheri for celebration.

Celebrity guests meets Inge, one of the SoftICE Lab’s social robots.

About the AI-Lab

The Telenor-NTNU AI-Lab is a joint lab for research in Artificial Intelligence, Machine Learning, and Big Data Analytics. The lab was established in 2016, and has been formally operative from January 1st, 2017. It is hosted by the Department of Computer Science. The lab will conduct fundamental ML research, including theory and method development, as well as application-oriented research at a high international level. Lab facilities will also be available for other research groups within the Faculty of Information Technology and Electrical Engineering (IE) doing ML research, for NTNU more generally, and for external cooperating partners.

Telenor-NTNU AI-Lab was established as part of Telenor’s vision to help Norway deal with the challenges of an increasing digitized society. The SoftICE Lab intends to be contribute to reaching this goal.

Hackathon

The AI-Lab will host its very first hackathon on the weekend 17-18 March both in Trondheim and at the SoftICE Lab on Campus Ålesund.

If you are a student or employee at NTNU i Ålesund, please contact SoftICE member Ibrahim A. Hameed on Facebook or by email more information.

The hackathon will take place both in Trondheim and on Campus Ålesund. There will be served pizza on Friday and breakfast and lunch on Saturday.

Photos from the opening of the AI-Lab

NTNU_AI-lab-4495

 

SoftICE researchers become IEEE Senior Members

SoftICE researchers Ibrahim A. Hameed and Robin T. Bye have in November 2016 and February 2017, respectively, been elevated to the grade of IEEE Senior Member.

IEEE is the world’s largest technical professional organization with more than 420,000 members worldwide in over 160 countries and is dedicated to advancing technology for the benefit of humanity. IEEE produces over 30% of the world’s literature in the electrical and electronics engineering and computer science fields, publishing well over 100 peer-reviewed journals and sponsoring more than 1,600 annual conferences and meetings worldwide. In addition, IEEE is one of the leading standards-making organizations in the world through its IEEE Standards Association, with more than 900 active standards and over 500 standards under development as of 2013, including the IEEE 802.3 Ethernet standard and the IEEE 802.11 Wireless Networking standard.

Upon meeting certain requirements, a professional member can apply for Senior Membership, which is the highest level of recognition that a professional member can directly apply for.

Applicants for Senior Member must have at least three letters of recommendation from Senior, Fellow, or Honorary members and fulfill other rigorous requirements of education, achievement, remarkable contribution, and experience in the field. The Senior Members are a selected group, and certain IEEE officer positions are available only to Senior (and Fellow) Members. Senior Membership is also one of the requirements for those who are nominated and elevated to the grade IEEE Fellow, a distinctive honour.

References: Wikipedia and IEEE

Best Student Paper Award and Special Award at ECMS’16

During the anniversial 30th European Conference on Modelling and Simulation (ECMS) 2016 in Regensburg, Germany on 31 May — 3 June, SoftICE members Robin T. Bye, Ottar L. Osen, and Ibrahim A. Hameed presented some of our latest research reported in four scientific papers accepted in the Simulators for Virtual Prototyping and Training track, which was chaired by colleagues at NTNU Ottar L. Osen, Robin T. Bye, and Henrique Gaspar (who unfortunately could not attend this time). The papers were co-authored by the three abovementioned researchers together with colleagues Hans Georg Schaathun and Birger Skogeng Pedersen (NTNU in Ålesund), Adrian Rutle (University College of Bergen), Filippo Sanfilippo (NTNU in Trondheim), and bachelor graduates Rolf-Magnus Hjørungdal (NTNU in Ålesund) and Tom Verplaetse (Ghent University).

Best Student Paper Award

All four papers were reviewed by three reviewers and received excellent reviews. One paper,“Intelligent computer-automated crane design using an online crane prototyping tool” by Ibrahim A. Hameed, Ottar L. Osen, Robin T. Bye, Birger Skogeng Pedersen, and Hans Georg Schaathun, was nominated for the Best Paper Award but did not make it to the top.

However, another paper, “On Usage of EEG Brain Control for Rehabilitation of Stroke Patients” by Tom Verplaetse, Filippo Sanfilippo, Adrian Rutle, Ottar L. Osen, and Robin T. Bye, was nominated for both the Best Paper Award and the Best Student Paper Award, and managed to win the latter! A big congratulation to first author Tom Verplaetse (currently a master in engineering student at Ghent University), who completed the project as his bachelor thesis in automation engineering at NTNU in Ålesund spring 2015! The award was received by Robin T. Bye as Tom was busy with his exams during the conference.

IMG_4405

Proud delegation from NTNU in Ålesund with Best Student Paper Award.

DSC_0192

Best Student Paper Award certificate.

Special Award

Being a 30th anniversary jubilee conference, the board of the European Council of Modelling and Simulation decided to honour a number of people,including SoftICE member Robin T. Bye, with a Special Award for their contributions to ECMS over the years. Associate Professor Bye humbly accepted the award, which was presented at the conference dinner cruise on the river Donau aboard the luxurious ship Kristallkönigin. Dr. Bye received the award for his contributions as a previous board member of ECMS (2012-14), conference co-chair and programme chair of ECMS ’13 hosted by Aalesund University College (2013), and track chair activities (2012-16).

IMG_4388

30th anniversary ECMS Special Award winners.

DSC_0180_3

Special Award prize.

DSC_0174_1

Proud SoftICE delegation with Special Award.

More information

More details about the work, as well as links for downloading papers, abstracts, and presentations can be found in earlier blog posts:

Photos

Some photos from the conference can be found on the website of the local organisers.

Here are some highlights we shot ourselves.

Continue reading

SoftICE presents intelligent virtual prototyping and mind control at ECMS 2016

SoftICE members Robin T. Bye, Ottar L. Osen, and Ibrahim A. Hameed will be presenting flaming hot research in four scientific papers to be presented at the 30th European Conference on Modelling and Simulation (ECMS) 2016 to be hold in Regensburg, Germany on 31 May — 3 June. The papers are co-authored by the three abovementioned researchers together with colleagues Hans Georg Schaathun and Birger Skogeng Pedersen (NTNU in Ålesund), Adrian Rutle (University College of Bergen), Filippo Sanfilippo (NTNU in Trondheim), and bachelor graduates Rolf-Magnus Hjørungdal (NTNU in Ålesund) and Tom Verplaetse (Ghent University).

Best paper award?

All four papers received excellent reviews by three independent reviewers, with one paper being nominated for the Best Paper Award and another paper being nominated for both Best Paper Award and Best Student Paper Award. Fingers crossed!

Intelligent computer-automated product design

Two of the papers relate to intelligent computer-automated product design, exemplified by a case study where we use methods from artificial intelligence (AI) such as genetic algorithms (GAs), particle swarm optimisation (PSO), and simulated annealing (SA) to optimise offshore crane design. Within a matter of only minutes, the algorithms are able to outperform the design of a real and delivered offshore crane with respect to some desired key performance indicators (KPIs). A human being would likelly spend days or weeks to obtain the same results.

nomenclature

Main components and load chart of a typical offshore crane.

EEG brain control (“mind control”)

The other two papers relate to EEG brain control, commonly known as “mind control,” for rehabilitation of stroke patients and for control of motorised, electrical wheelchairs.

These papers build on the work done during the bachelor thesis projects by Tom Verplaetse (Interfacing an EEG headset with a 3D simulation for rehabilitation in partially paraplegic stroke victims) and by Rolf-Magnus Hjørungdal and fellow students Fredrik Hoel Helgesen and Daniel Nedregård (Man/machine interaction through EEG).

EEG

Emotiv EPOC EEG headset for brain control.

More information

We have previously presented some details of our work in earlier blog posts:

Presentations, abstracts, and full papers

The titles of the four papers are listed further below, with abstracts, papers, and presentations readily available for download as indicated (also available here: http://robinbye.com | Publications).

Collaboration?

Parties interested in research collaboration, testing our software, or more information are encouraged to contact us.

— SoftICE lab

List of ECMS 2016 papers and presentations

  • Robin T. Bye, Ottar L. Osen, Birger Skogeng Pedersen, Ibrahim A. Hameed, and Hans Georg Schaathun. A software framework for intelligent computer-automated product design. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS’16), pp. xx–yy, 2016. Download abstract | paperpresentation.
  • Ibrahim A. Hameed, Ottar L. Osen, Robin T. Bye, Birger Skogeng Pedersen, and Hans Georg Schaathun. Intelligent computer-automated crane design using an online crane prototyping tool. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS’16), pp. xx–yy, 2016. Download abstract | paper | presentation.
  • Tom Verplaetse, Filippo Sanfilippo, Adrian Rutle, Ottar L. Osen, and Robin T. Bye. On Usage of EEG Brain Control for Rehabilitation of Stroke Patients. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS’16), pp. xx–yy, 2016. Download abstract | paper | presentation.
  • Rolf-Magnus Hjørungdal, Filippo Sanfilippo, Ottar L. Osen, Adrian Rutle, and Robin T. Bye. A Game-based Learning Framework for Controlling Brain-Actuated Wheelchairs. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS’16), pp. xx–yy, 2016. Download abstract | paper | presentation.

Seminar: A software framework for intelligent computer-automated product design

SoftICE member Robin T. Bye will today present recent research on intelligent computer-automated product design. The talk is called A software framework for intelligent computer-automated product design and is a based on a recent paper that will be presented at the 30th European Conference on Modelling and Simulation (ECMS 2016) in Regensburg, Germany, in June. The paper has been co-authored with SoftICE members Ottar L. Osen, Birger Skogeng Pedersen, Ibrahim A. Hameed, and Hans Georg Schaathun.

The seminar is open for all and will take place in room Åse at 13.00 today 29 April 2016, NTNU in Ålesund main building.

This work is part of the research project Artificial Intelligence for Crane Design (Kunstig intelligens for krandesign (KIK)) funded by RFF/Research Council of Norway.

AIPOarchitecture

Architecture of software framework for intelligent computer-automated product design.

The abstract is included below.  Continue reading

EEG brain control for ALS and stroke patients

EEG

Emotiv Epoc EEG headset

In the SoftICE lab, we have had several bachelor projects over the years that have examined how to use inexpensive commercial off-the-shelf (COTS) electroencephalography (EEG) equipment to enable brain control in virtual environments. Specifically, we have been using the scientific version of the Emotiv Epoc EEG headset, which has 14 sensors that measure raw EEG signals on top of the human scalp. These signals can be filtered (converted) in real-time to suitable control signals via the Emotiv software and passed on to virtual environments in the 3D game engine Unity, thus enabling real-time control of objects and characters in a virtual world only by the use of brain waves.

Lerpz

Screenshot of the Unity demo game Lerpz Escapes

In the first bachelor project we ran as early as 2011, our students were able to demonstrate a proof of concept by developing an interface between readings from the EEG headset and a demo game in Unity called Lerpz Escapes. After some training sessions for finetuning of personal Emotiv control profiles (the Emotiv control software needs to ‘learn’ the EEG signals of each individual user), the students were able to control a 3D third-person character in the computer game only by using their mind.

A YouTube video demonstrating the results is shown below:

This year, we have had two bachelor projects going one step further from this initial work.

The first project was made by a group consisting of students Fredrik Hoel Helgesen, Rolf-Magnus Hjørungdal, and Daniel Nedregård, and was supervised by AAUC staff Robin T. Bye and Anders Sætersmoen, with additional insights provided by staff members Filippo Sanfilippo and Hans Georg Schaathun. The students used Unity to develop a virtual reality environment that can serve as a training platform for controlling a motorised wheelchair only by means of brain waves (EEG). Their work was inspired by patients who suffer from amyotrophic lateral sclerosis (ALS), which is also known as Lou Gehrig’s disease, and therefore gradually become completely paralysed and unable to control conventional electric wheelchairs using their hands or chin. Following a set of training sessions, users develop their brain control skills and are able to control a motorised wheelchair in realistic virtual environments with streets, buildings, pedestrians, trees, and so on.

The group also did some preliminary work using artificial neural networks to map the neural EEG signals to appropriate motor commands as well as examine using the Oculus Rift for virtual reality.

The source code is freely available on GitHub. The usual standards for citing, using and modifying scientific intellectual property apply.

A YouTube video demonstrating the results is show below:

The second project was made by international exchange student Tom Verplaetse (originally at University College Ghent, Belgium) and supervised by AAUC staff Robin T. Bye and Filippo Sanfilippo. Tom examined how one can use EEG control as a new rehabilitation technique for stroke victims who have lost the ability to move a single hand or both of their hands, a condition called partial paraplegia. Partial paraplegia can be healed by months or sometimes years of physical therapy and other therapies, and developing new rehabilitation techniques is an active field of research worldwide. In the work of Tom, the idea was to create a 3D environment in which the rehabilitating patient can move a visual representation of the paraplegic hand, thus achieving the same effect as that of mirror therapy. Mirror therapy relies on the ability to trick the brain into thinking it can move a hand that is not really there but is merely a visual representation.

The software developed in this project provides a 3D representation of that hand and lets the brain control it by using its own brain waves. Clever use of visual stimulation at specific frequencies by means of a flickering light led to steady state visually evoked potentials (SSVEP) that clearly enhanced both alpha and beta EEG activity.

Hopefully, this process of brain pattern recognition and brain activation of the specific regions needed for motor function could lead to a faster and more efficient rehabilitation process, without much need of expensive equipment or human helpers such as physioterapeuts or nurses.

Source code can be obtained upon request.

A YouTube video demonstrating the results is shown below:

For more information, please contact SoftICE member Robin T. Bye.