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Related papers: A Low Cost Eeg Based Bci Prosthetic Using Motor Im…

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An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signals of brain activities, and then send a command or an intent…

Computer Vision and Pattern Recognition · Computer Science 2019-07-31 Junhua Li , Zbigniew Struzik , Liqing Zhang , Andrzej Cichocki

Motor Imagery (MI) is an emerging Brain-Computer Interface (BCI) paradigm where a person imagines body movements without physical action. By decoding scalp-recorded electroencephalography (EEG) signals, BCIs establish direct communication…

Human-Computer Interaction · Computer Science 2026-04-14 Jiani Cao , Kun Wang , Yang Liu , Zhenjiang Li

Non-invasive brain-computer interface (BCI) has been developed for understanding users' intentions by using electroencephalogram (EEG) signals. With the recent development of artificial intelligence, there have been many developments in the…

Human-Computer Interaction · Computer Science 2020-12-15 Dae-Hyeok Lee , Hyung-Ju Ahn , Ji-Hoon Jeong , Seong-Whan Lee

This paper presents an Artificial Intelligence (AI) integrated approach to Brain-Computer Interface (BCI)-based wheelchair development, utilizing a motor imagery right-left-hand movement mechanism for control. The system is designed to…

Machine Learning · Computer Science 2026-04-14 Bipul Thapa , Biplov Paneru , Bishwash Paneru , Khem Narayan Poudyal

Objective: Spinal cord injury (SCI) often leaves affected individuals unable to ambulate. Electroencephalogramme (EEG) based brain-computer interface (BCI) controlled lower extremity prostheses may restore intuitive and able-body-like…

Human-Computer Interaction · Computer Science 2012-08-31 Po T. Wang , Christine E. King , Luis A. Chui , An H. Do , Zoran Nenadic

Partial hand amputations significantly affect the physical and psychosocial well-being of individuals, yet intuitive control of externally powered prostheses remains an open challenge. To address this gap, we developed a force-controlled…

The Motor Imagery (MI) electroencephalography (EEG) based Brain Computer Interfaces (BCIs) allow the direct communication between humans and machines by exploiting the neural pathways connected to motor imagination. Therefore, these systems…

Signal Processing · Electrical Eng. & Systems 2023-10-26 Aurora Saibene , Silvia Corchs , Mirko Caglioni , Francesca Gasparini

Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical BCI, we introduce a real-time wireless imagined speech…

Artificial Intelligence · Computer Science 2025-11-12 Ji-Ha Park , Heon-Gyu Kwak , Gi-Hwan Shin , Yoo-In Jeon , Sun-Min Park , Ji-Yeon Hwang , Seong-Whan Lee

The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored various solutions to allow individuals…

Human-Computer Interaction · Computer Science 2021-04-15 Di Wu , Huayan Wan , Siping Liu , Weiren Yu , Zhanpeng Jin , Dakuo Wang

Brain-Computer Interface (BCI) is an essential mechanism that interprets the human brain signal. It provides an assistive technology that enables persons with motor disabilities to communicate with the world and also empowers them to lead…

Signal Processing · Electrical Eng. & Systems 2020-09-22 Srihari Maruthachalam

Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly. Advances in neuroscience and…

Signal Processing · Electrical Eng. & Systems 2020-01-31 Xiaotong Gu , Zehong Cao , Alireza Jolfaei , Peng Xu , Dongrui Wu , Tzyy-Ping Jung , Chin-Teng Lin

Motor imagery (MI) based brain-computer interfaces (BCIs) enable the direct control of external devices through the imagined movements of various body parts. Unlike previous systems that used fixed-length EEG trials for MI decoding,…

Human-Computer Interaction · Computer Science 2024-12-13 Huanyu Wu , Siyang Li , Dongrui Wu

An electroencephalogram is an effective approach that provides a bidirectional pathway between the user and computer in a non-invasive way. In this study, we adopted the visual imagery data for controlling the BCI-based robotic arm. Visual…

Human-Computer Interaction · Computer Science 2022-11-28 Byoung-Hee Kwon , Byeong-Hoo Lee , Jeong-Hyun Cho

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

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer…

Neurons and Cognition · Quantitative Biology 2020-07-28 J. A. Gaxiola-Tirado

Brain-machine interfaces (BMIs), particularly those based on electroencephalography (EEG), offer promising solutions for assisting individuals with motor disabilities. However, challenges in reliably interpreting EEG signals for specific…

Signal Processing · Electrical Eng. & Systems 2025-04-23 Biplov Paneru , Bipul Thapa , Bishwash Paneru , Sanjog Chhetri Sapkota

A brain-computer interface (BCI) enables direct communication between the brain and an external device. Electroencephalogram (EEG) is the preferred input signal in non-invasive BCIs, due to its convenience and low cost. EEG-based BCIs have…

Human-Computer Interaction · Computer Science 2024-12-02 Lubin Meng , Xue Jiang , Tianwang Jia , Dongrui Wu

Brain computer interface (BCI) research, as well as increasing portions of the field of neuroscience, have found success deploying large-scale artificial intelligence (AI) pre-training methods in conjunction with vast public repositories of…

Neurons and Cognition · Quantitative Biology 2025-06-03 Mattson Ogg , Rahul Hingorani , Diego Luna , Griffin W. Milsap , William G. Coon , Clara A. Scholl

Building robotic prostheses requires a sensor-based interface designed to provide the robotic hand with the control required to perform hand gestures. Traditional Electromyography (EMG) based prosthetics and emerging alternatives often face…

Robotics · Computer Science 2025-07-15 Dean Zadok , Oren Salzman , Alon Wolf , Alex M. Bronstein

Non-invasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) offer an intuitive means for individuals with severe motor impairments to independently operate assistive robotic wheelchairs and navigate built environments.…

Robotics · Computer Science 2025-11-24 Xiaoshan Zhou , Carol C. Menassa , Vineet R. Kamat