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As Brain-computer interface (BCI) technology develops it is likely it may be incorporated into protocols that complement and supplement existing movements of the user. Two possible scenarios for such a control could be: the increasing…

Neurons and Cognition · Quantitative Biology 2016-04-06 Luke Bashford , Jing Wu , Devapratim Sarma , Kelly Collins , Jeff Ojemann , Carsten Mehring

Mental imagery-based brain-computer interfaces (BCIs) allow to interact with the external environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and accurate is paramount to improve the reliability of real-life…

Neurons and Cognition · Quantitative Biology 2023-10-16 Tristan Venot , Arthur Desbois , Marie-Constance Corsi , Laurent Hugueville , Ludovic Saint-Bauzel , Fabrizio De Vico Fallani

Brain-Computer Interface(BCI) systems support communication through direct measures of neural activity without muscle activity. Brain-Computer Interface systems need to be validated in long-term studies of real-world use by people with…

Human-Computer Interaction · Computer Science 2022-04-05 Bosubabu Sambana , Priyanka Mishra

BCI systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be widely used by people with severe disabilities, long-term…

Human-Computer Interaction · Computer Science 2023-05-31 Krishna Pai , Rakhee Kallimani , Sridhar Iyer , B. Uma Maheswari , Rajashri Khanai , Dattaprasad Torse

Brain-computer interfaces (BCIs) promise to extend human movement capabilities by enabling direct neural control of supernumerary effectors, yet integrating augmented commands with multiple degrees of freedom without disrupting natural…

Brain-computer interfaces (BCIs) read neural signals directly from the brain to infer motor planning and execution. However, the implementation of this technology has been largely limited to laboratory settings, with few real-world…

Brain computer interface (BCI) provides promising applications in neuroprosthesis and neurorehabilitation by controlling computers and robotic devices based on the patient's intentions. Here, we have developed a novel BCI platform that…

Robotics · Computer Science 2017-07-25 Reza Abiri , Griffin Heise , Xiaopeng Zhao , Yang Jiang , Fateme Abiri

Brain-computer interfaces (BCIs) make possible to interact with the external environment by decoding the mental intention of individuals. BCIs can therefore be used to address basic neuroscience questions but also to unlock a variety of…

Neurons and Cognition · Quantitative Biology 2021-02-12 Juliana Gonzalez-Astudillo , Tiziana Cattai , Giulia Bassignana , Marie-Constance Corsi , Fabrizio De Vico Fallani

Motor imagery-based brain-computer interfaces (BCIs) use an individuals ability to volitionally modulate localized brain activity as a therapy for motor dysfunction or to probe causal relations between brain activity and behavior. However,…

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working…

Human-Computer Interaction · Computer Science 2021-08-27 Simanto Saha , Khondaker A. Mamun , Khawza Ahmed , Raqibul Mostafa , Ganesh R. Naik , Ahsan Khandoker , Sam Darvishi , Mathias Baumert

A Brain Computer Interface (BCI) is a communication system that receives neurological signals from the brain and translates them into control commands for electrical (e.g., computer mouse) and electromechanical (e.g., Wheelchair) devices.…

Human-Computer Interaction · Computer Science 2016-10-19 Amin Behdad , Amro Nour , Arash Zereshkian , Cesar Marquez Chin , Milos Popovic

The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of individuals with physical disabilities. BCIs are a technology…

Human-Computer Interaction · Computer Science 2024-04-30 Shiva Ghasemi , Denis Gracanin , Mohammad Azab

Human-machine interactions are being increasingly explored to create alternative ways of communication and to improve our daily life. Based on a classification of the user's intention from the user's underlying neural activity,…

Neurons and Cognition · Quantitative Biology 2020-01-07 Fabrizio De Vico Fallani , Danielle S. Bassett

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users.…

With the recent developments in neuroscience and engineering, it is now possible to record brain signals and decode them. Also, a growing number of stimulation methods have emerged to modulate and influence brain activity. Current…

Systems and Control · Electrical Eng. & Systems 2024-01-18 Hoda Fares , Margherita Ronchini , Milad Zamani , Hooman Farkhani , Farshad Moradi

Brain-computer interfaces (BCI) are presented as a solution for people with global paralysis, also known as locked-in syndrome (LIS). The targeted population includes the most severe patients, with no residual eye movements, who cannot use…

Neurons and Cognition · Quantitative Biology 2023-10-03 Perrine Seguin , Emmanuel Maby , Fabien Perrin , Alessandro Farnè , Jérémie Mattout

A major objective of Brain-Computer interfaces (BCI) is to restore communication and control in patients with severe motor impairments, like people with Locked-in syndrome. These patients are left only with limited eye and eyelid movements.…

Human-Computer Interaction · Computer Science 2023-02-14 P Séguin , E Maby , J Mattout

Brain-computer interfaces (BCIs) use brain signals such as electroencephalography to reflect user intention and enable two-way communication between computers and users. BCI technology has recently received much attention in healthcare…

Human-Computer Interaction · Computer Science 2024-01-31 Byoung-Hee Kwon , Ji-Hoon Jeong , Seong-Whan Lee

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in…

Human-Computer Interaction · Computer Science 2023-11-22 Changxing Huang , Nanlin Shi , Yining Miao , Xiaogang Chen , Yijun Wang , Xiaorong Gao

Myoelectric interfaces enable intuitive and natural control by decoding residual muscle activity, providing an effective pathway for motor restoration in individuals with preserved musculature. However, in patients with severe muscular…

Neurons and Cognition · Quantitative Biology 2025-11-26 Sun Ye , Zuo Cuiming , Zhang Rui , Shi Bin , Pang Yajing , Gao Lingyun , Zhao Bowei , Wang Jing , Yao Dezhong , Liu Gang
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