Publication
Plug&Play brain-computer interfaces for effective active and assisted living control
Related publications (40)
Development of a Transient Neural Interface for Minimally Invasive Recording and Stimulation
Transient electronics enabling devices to safely disappear in the environment can be applied not only in green electronics, but also in bioelectronic medicine. Neural implants able to degrade harmlessly inside the body eliminate the need for removal surger ...
EPFL2022Motor state transitions and Breathing in Brain Machine Interfaces
Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...
EPFL2021Brain-Computer Interface Racing at the Cybathlon 2016
Brain-computer interfaces measure the electricity produced by the brain and translate it into commands that are sent to a machine. However, it is often difficult to judge how quickly a user will be able to perform a task using a brain-computer interface wi ...
2019EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection
José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu, Fumiaki Iwane
Brain-machine interfaces (BMIs) have been used to incorporate the user intention to trigger robotic devices by decoding movement onset from electroencephalography (EEG). Active neural participation is crucial to promote brain plasticity thus to enhance the ...
2018Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Anton Nijholt
Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application. Brain activity for interpretation by the BCI can be acquired with either invasive ...
Taylor & Francis Ltd2017Hyperdimensional computing for blind and one-shot classification of EEG error-related potentials
The mathematical properties of high-dimensional (HD) spaces show remarkable agreement with behaviors controlled by the brain. Computing with HD vectors, referred to as “hypervectors,” is a brain-inspired alternative to computing with numbers. HD computing ...
Springer Verlag2017Hyperdimensional computing for noninvasive brain-computer interfaces: Blind and one-shot classification of EEG error-related potentials
The mathematical properties of high-dimensional (HD) spaces show remarkable agreement with behaviors controlled by the brain. Computing with HD vectors, referred to as "hypervectors," is a brain-inspired alternative to computing with numbers. HD computing ...
2017Connectivity Analysis of Brain States and Applications in Brain-Computer Interfaces
Human brain is organized by a large number of functionally correlated but spatially distributed cortical neurons. Cognitive processes are usually associated with dynamic interactions among multiple brain regions. Therefore, the understanding of brain funct ...
EPFL2015Brain-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 ...
2015Analysis and asynchronous detection of gradually unfolding errors during monitoring tasks
Human studies on cognitive control processes rely on tasks involving sudden-onset stimuli, which allow the analysis of these neural imprints to be time-locked and relative to the stimuli onset. Human perceptual decisions, however, comprise continuous proce ...
Institute of Physics2015