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Imagine unlocking the power of the mind to communicate, create, and even interact with the world around us. Recent breakthroughs in Artificial Intelligence (AI), especially in how machines "see" and "understand" language, are now fueling…

Brain-computer interfaces (BCIs) are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose BCIs as a route towards forms of computation, i.e. computational imaging, that blend the brain with…

Computer Vision and Pattern Recognition · Computer Science 2022-10-10 Gao Wang , Daniele Faccio

Brain Computer Interface (BCI) can help patients of neuromuscular diseases restore parts of the movement and communication abilities that they have lost. Most of BCIs rely on mapping brain activities to device instructions, but limited…

Human-Computer Interaction · Computer Science 2017-05-23 Kang Wang , Xueqian Wang , Gang Li

Brain-Computer Interface (BCI) is a rapidly developing technology that allows direct communications between the human brain and external devices, such as robotic arms and computers. Bayesian Networks is a powerful tool in machine learning…

Signal Processing · Electrical Eng. & Systems 2022-06-16 Pingsheng Li

Neurological and Physiological Disorders that impact emotional regulation each have their own unique characteristics which are important to understand in order to create a generalized solution to all of them. The purpose of this experiment…

Human-Computer Interaction · Computer Science 2024-11-25 Vedant Mehta

Communication and computer interaction are important for autonomy in modern life. Unfortunately, these capabilities can be limited or inaccessible for the millions of people living with paralysis. While implantable brain-computer interfaces…

Human-Computer Interaction · Computer Science 2026-01-28 Hamza Peracha , Carrina Iacobacci , Tyler Singer-Clark , Leigh R. Hochberg , Sergey D. Stavisky , David M. Brandman , Nicholas S. Card

Brain-Computer Interfaces (BCIs) offer a direct communication pathway between the human brain and external devices, holding significant promise for individuals with severe neurological impairments. However, their widespread adoption is…

Artificial Intelligence · Computer Science 2025-10-28 Yankai Chen , Xinni Zhang , Yifei Zhang , Yangning Li , Henry Peng Zou , Chunyu Miao , Weizhi Zhang , Xue Liu , Philip S. Yu

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

Currently, strokes are the leading cause of adult disability in the United States. Traditional treatment and rehabilitation options such as physical therapy and tissue plasminogen activator are limited in their effectiveness and ability to…

Signal Processing · Electrical Eng. & Systems 2020-08-20 Mohammad-Parsa Hosseini , Cecilia Hemingway , Jerard Madamba , Alexander McKee , Natalie Ploof , Jennifer Schuman , Elliot Voss

We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES). Specifically, we show that BCI technology can be…

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

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

Brain-Computer Interfaces (BCI) help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech output by direct neural processing. However, practical implementation of such a system has proven…

Human-Computer Interaction · Computer Science 2019-07-10 Janaki Sheth , Ariel Tankus , Michelle Tran , Nader Pouratian , Itzhak Fried , William Speier

Noninvasive brain-computer interface (BCI) is widely used to recognize users' intentions. Especially, BCI related to tactile and sensation decoding could provide various effects on many industrial fields such as manufacturing advanced touch…

Human-Computer Interaction · Computer Science 2020-12-22 Jeong-Hyun Cho , Ji-Hoon Jeong , Myoung-Ki Kim , Seong-Whan Lee

Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes…

Designing brain-computer interfaces (BCIs) that can be used in conjunction with ongoing motor behavior requires an understanding of how neural activity co-opted for brain control interacts with existing neural circuits. For example, BCIs…

Neurons and Cognition · Quantitative Biology 2019-09-13 Benjamin Lansdell , Ivana Milovanovic , Cooper Mellema , Eberhard E Fetz , Adrienne L Fairhall , Chet T Moritz

Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and have demonstrated great potential for assistive and rehabilitation technologies. Endogenous BCIs based on electroencephalogram (EEG) signals,…

Human-Computer Interaction · Computer Science 2023-09-08 Hanwen Wang , Yu Qi , Lin Yao , Yueming Wang , Dario Farina , Gang Pan

Speech Brain Computer Interfaces (BCIs) offer promising solutions to people with severe paralysis unable to communicate. A number of recent studies have demonstrated convincing reconstruction of intelligible speech from surface…

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) 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…