Publication
BCI Telepresence: A Six Patient Evaluation
Related publications (32)
Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction.
Olaf Blanke, José del Rocio Millán Ruiz, Ronan Boulic, Bruno Herbelin, Ricardo Andres Chavarriaga Lozano, Fumiaki Iwane
Objective. A key challenge of virtual reality (VR) applications is to maintain a reliable human-avatar mapping. Users may lose the sense of controlling (sense of agency), owning (sense of body ownership), or being located (sense of self-location) inside th ...
2024How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?
Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...
ELSEVIER SCIENCE INC2023Sense of agency for intracortical brain-machine interfaces
Olaf Blanke, Andrea Serino, Nathan Quentin Faivre, Marco Solcà, Pavo Orepic, Tommaso Enrico Bertoni, Gaurav Sharma
Intracortical brain-machine interfaces decode motor commands from neural signals and translate them into actions, enabling movement for paralysed individuals. The subjective sense of agency associated with actions generated via intracortical brain-machine ...
NATURE PORTFOLIO2022Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces
Brain-computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots
This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...
IEEE COMPUTER SOC2018Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu
Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...
Frontiers Research Foundation2017Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano
Background: One of the current challenges in brain-machine interfacing is to characterize and decode upper limb kinematics from brain signals, e.g. to control a prosthetic device. Recent research work states that it is possible to do so based on low freque ...
BioMed Central2017Moving Brain-Controlled Devices Outside the Lab: Principles and Applications
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis
This chapter provides an overview of the functionality and the underlying principles of the brain-computer interfaces (BCI) developed by the Chair in Non-Invasive Brain-Machine Interface (CNBI) of the Swiss Federal Institute of Technology (EPFL), as well a ...
Springer Netherlands2015Brain-Machine Interfaces: The Perception-Action Closed Loop
A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...
2015Platform for analyzing multi-tasking capabilities during BCI operation
José del Rocio Millán Ruiz, Robert Leeb
Operating brain-actuated devices requires split attention between the interaction of the device with its environment and the Brain-Computer Interface (BCI) feedback. Recently we demonstrated that BCI feedback could be provided via tactile stimulation and n ...
2014