[HTML][HTML] Recent advancements in interventions for cerebral palsy–A review
P Sharma, M Gupta, R Kalra - Journal of Neurorestoratology, 2023 - Elsevier
Non-progressive conditions that develop in the growing fetus or newborn brain and result in
lifelong motor impairments and activity restrictions are collectively referred to as cerebral …
lifelong motor impairments and activity restrictions are collectively referred to as cerebral …
Usability Evaluation of BCI Software Applications: A systematic review of the literature
YN Ortega, C Mezura-Godoy - Programming and Computer Software, 2022 - Springer
Abstract Brain Computer Interfaces-BCI allow users to communicate with the software
system through cognitive functions measurable by brain signals, identified as …
system through cognitive functions measurable by brain signals, identified as …
On-line recognition of emotions via electroencephalography
KAA Weiss, F Concatto, RCG Teive… - IEEE Latin America …, 2022 - ieeexplore.ieee.org
Automated pattern recognition of brain signals can bring about new experiences, enhancing
applications in a wide array of areas. One of its fields of study is the recognition of emotions …
applications in a wide array of areas. One of its fields of study is the recognition of emotions …
Usability evaluation process of brain computer interfaces: an experimental study
YN Ortega-Gijón, C Mezura-Godoy - Proceedings of the IX Latin …, 2019 - dl.acm.org
Usability includes concepts such as satisfaction, efficiency and effectiveness. This may be
partly the result of functionality, but they are mainly defined by the user's interaction with the …
partly the result of functionality, but they are mainly defined by the user's interaction with the …
Sparse representations of high dimensional neural data
SK Mody, G Rangarajan - Scientific Reports, 2022 - nature.com
Abstract Conventional Vector Autoregressive (VAR) modelling methods applied to high
dimensional neural time series data result in noisy solutions that are dense or have a large …
dimensional neural time series data result in noisy solutions that are dense or have a large …
A deep learning approach in brain-computer interaction for augmentative and alternative communication
Y Liu - International Journal of Information and …, 2024 - inderscienceonline.com
The electroencephalography classification is the primary aspect of brain-computer systems.
The changes there are two main concerns. Firstly, conventional approaches do not use …
The changes there are two main concerns. Firstly, conventional approaches do not use …
Usability evaluation of brain computer interfaces: analysis of methods and tools
YN Ortega-Gijon… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Usability includes concepts such as satisfaction, efficiency and effectiveness. This may be
partly the result of functionality, but they are mainly defined by the user's interaction with the …
partly the result of functionality, but they are mainly defined by the user's interaction with the …
[HTML][HTML] Measuring working memory usage on aphasic individuals and analysis of emotional valence through electroencephalography
Recent studies discuss the use of brain-computer interfaces (BCI) in medicine, more
specifically in the treatment of post-stroke conditions. Those studies seek to develop …
specifically in the treatment of post-stroke conditions. Those studies seek to develop …
Classification of hand movements from EMG signals for people with motor disabilities
CAC Alexandre - IEEE Latin America Transactions, 2020 - ieeexplore.ieee.org
People with disabilities correspond to about 25% of the Brazilian population. A great part of
these people have physical impairments that difficult the use computer peripherals. This …
these people have physical impairments that difficult the use computer peripherals. This …
[HTML][HTML] Usability evaluation of brain computer interfaces: analysis of state of art
YN Ortega, C Mezura-Godoy - Труды Института системного …, 2022 - cyberleninka.ru
Brain Computer Interfaces-BCI allow users to communicate with the software system through
cognitive functions measurable by brain signals, identified as Electroencephalography-EEG …
cognitive functions measurable by brain signals, identified as Electroencephalography-EEG …