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Preliminary Analysis and Proof-of-Concept Validation of a Neuronally Controlled Visual Assistive Device Integrating Computer Vision with EEG-Based Binary Control.

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第一作者： Preetam Kumar,Khuntia

第一单位： Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India.

作者： Preetam Kumar,Khuntia ^[1] ; Prajwal Sanjay,Bhide ^[1] ; Pudureddiyur Venkataraman,Manivannan ^[1]

作者单位： Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India. ^[1]

关键词 ArUco markers Brain–Computer interface DH Parameters EEG YOLOv8n gradient descent visual assistive device

医学主题词脑电描记术(Electroencephalography);人类(Humans);算法(Algorithms);自助装置(Self-Help Devices);信号处理, 计算机辅助(Signal Processing, Computer-Assisted);机器人(Robotics)

DOI 10.3390/s25165187

PMID 40872049

发布时间 2025-08-31

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2025年25卷16期

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Preliminary Analysis and Proof-of-Concept Validation of a Neuronally Controlled Visual Assistive Device Integrating Computer Vision with EEG-Based Binary Control.

Sensors (Basel, Switzerland)

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Preliminary Analysis and Proof-of-Concept Validation of a Neuronally Controlled Visual Assistive Device Integrating Computer Vision with EEG-Based Binary Control.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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