About:

BR41N.IO is a brainstorming and collaborative marathon designed to be a learning experience for developers, technologists, engineers, students, artists, and scientists who cram and build brain-computer interface (BCI) applications together in teams.

https://www.br41n.io/Spring-School-2022

About: Machine intelligence is no longer a science fiction utopia but rather a very present reality. It has been evolving rapidly within the fields of computer vision, pattern recognition, machine learning, and symmetry. It is a daunting task to try and keep up with the abundance of new publications that present the most recent advancements within each field. As such, this Special Issue is dedicated to presenting and aggregating recent advancements in these research fields, spread across a universe of applications, such as industry, medicine, robotics, biotechnology, mechanical engineering, and others, as well as in fundamental and theoretical forms.

Guest editors: João Ruivo Paulo (Institute of Systems and Robotics, University of Coimbra, Portugal), Cristina P. Santos (Center for MicroElectroMechanical Systems, University of Minho, Portugal) , Gabriel Pires (Institute of Systems and Robotics, University of Coimbra / Polytechnic Institute of Tomar, Portugal)

Link to Published papers.

About: A Brain-Computer Interface (BCI) is a direct communication pathway between the brain and an external device. The research on BCI is interdisciplinary and has been expanding increasingly into several clinical and non-clinical application domains, including communication, control, rehabilitation (motor and development disorders), gaming, HM interaction, augmentation, mental and emotional states monitoring, conscience assessment, marketing and fundamental neuroscience, among others.

This workshop brings together researchers from the fields of engineering, computer science, neuroscience and psychology fields, all with an interest in BCI.

Joint organization of ISR-UC/DEEC-UC/IPT

Registrations Closed.

Download Program flyer (PDF).

About: People suffering from conditions that severely affect neuromuscular structures and functions tend to lose a significant degree of autonomy in their daily living activities. Conventional power wheelchairs may be, in some cases, a sufficient solution to increase the mobility and autonomy of people suffering from severe motor impairments. However, many of these users become unable to use conventional power wheelchairs as a result of the deterioration of their physical ability. For those with severe motor impairments, robotic wheelchairs, capable of providing appropriate human–robot interaction, may be a potential solution, as these are based on intelligent assistive navigation systems able to aid users according to their capabilities. A robotic wheelchair is generally based on a semi-autonomous controller that requires a minimum of two agents, a human agent (the user) and a machine agent (the robotic wheelchair), which collaborate with each other during the navigation process. To be effective and reliable, a robotic wheelchair must be capable of interacting with the human user, recognizing human intent in every step of the navigation process and making the right decisions according to human intent and the navigational workspace context. Several robotic wheelchair prototypes have been developed in recent years with the ultimate goal of improving the mobility capabilities of severely motor-disabled people. However, reported experimental tests have been primarily conducted in highly structured environments with able-bodied users....

Guest editors: Ana Lopes (Polytechnic Institute of Tomar/ Institute of Systems and Robotics of the University of Coimbra, Portugal)

Link to Published papers.

About: Error-related potentials (ErrPs) are neurophysiological signals associated with error processing. They are generated when wrong actions are perceived and have been reported in many contexts in the past two decades, namely when a subject perceives that he/she has committed an error and recognizes it immediately (‘response ErrP’), when a subject receives the feedback of a previous choice without knowing whether it was wrong (‘feedback ErrP’), when observing mistakes of another person or agent (‘observation ErrP’)’ or during the interaction with a brain-computer interface (BCI) when the feedback is not the expected one (‘interaction ErrP’).

The components of an ErrP appear within a time window of 500 ms and are naturally elicited in the brain without the user’s explicit intention. Thus, its automatic detection can be used in myriad ways, in real-time, and in human-machine interaction processes. In particular, interaction and observation ErrPs have been applied as a proof-of-concept in several applications, for example, for detection and correction of BCI choices to increase reliability, to adapt BCI systems over the time, or to make intelligent systems (e.g., external agents) learn. There is also a growing interest for ErrPs in clinical applications for disorders where error monitoring is impaired. ....

Guest editors team: Gabriel Pires (Institute of Systems and Robotics of the University of Coimbra/ Poytechnic Institute of Tomar, Portugal), Miguel Castelo-Branco (Coimbra Institute for Biomedical Imaging and Translational Research of the University of Coimbra, Portugal), Christoph Guger (g.tec medical engineering GmbH, Austria), Giulia Cisotto (University of Padua, Italy)

Link to Published papers

Link to published Editorial: G. Pires, M. Castelo-Branco, C. Guger, G. Cisotto, "Editorial: Error-Related Potentials: Challenges and Applications", Frontiers in Human Neuroscience - Brain-Computer Interfaces, July, 2022, doi: 10.3389/fnhum.2022.984254

About: Research groups all over the world have been successfully working on a direct connection between the human brain and a computer, a so called Brain-Computer Interface (BCI). During this workshop, we will demonstrate major concepts in BCI systems, including types of sensors, signal processing, and applications. New trends like embodiment, coma assessment and communication, stroke rehabilitation, and invasive ECoG based systems will also be explained. We will invite people from the audience to participate in the live demonstrations in which they can try on electrode caps and use BCIs.

Joint organization of gtec /ISR-UC/IPT

Registrations closed.

Download flyer (PDF)

g.tec's presentation: [gtec_Workshoptour_Intro_BCI_PT_2019-11-15.pdf].