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Titlebook: Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG; Swagata Das,Devashree Tripathy,Jagdish Lal Raheja

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發(fā)表于 2025-3-21 16:22:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG
編輯Swagata Das,Devashree Tripathy,Jagdish Lal Raheja
視頻videohttp://file.papertrans.cn/823/822250/822250.mp4
概述Includes a detailed discussion of all relevant topics to help readers learn quickly.Describes two successfully integrated robotic systems for brain–computer interface problem solving.Compares algorith
叢書(shū)名稱(chēng)SpringerBriefs in Applied Sciences and Technology
圖書(shū)封面Titlebook: Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG; Swagata Das,Devashree Tripathy,Jagdish Lal Raheja
描述.This book discusses the basic requirements and constraints in building a brain–computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain–computer interaction system are the human brain, types and applications of brain–computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain–computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain–computer interaction system for driving robots using a neural network classification module..
出版日期Book 2019
關(guān)鍵詞Brain-Computer interaction; BCI applications; Sensorimotor activity; SIMULINK EEG Importer; BCI algorith
版次1
doihttps://doi.org/10.1007/978-981-13-3098-8
isbn_softcover978-981-13-3097-1
isbn_ebook978-981-13-3098-8Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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發(fā)表于 2025-3-21 20:43:56 | 只看該作者
Swagata Das,Devashree Tripathy,Jagdish Lal Rahejamental production of antibodies. Such knowledge helps in avoiding the evils of obtaining highly unpredictable results and undesired effects such as immune unresponsiveness or immune tolerance during antibody production. Moreover, not all antibodies react with their antigens with the same affinity an
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Swagata Das,Devashree Tripathy,Jagdish Lal Rahejamental production of antibodies. Such knowledge helps in avoiding the evils of obtaining highly unpredictable results and undesired effects such as immune unresponsiveness or immune tolerance during antibody production. Moreover, not all antibodies react with their antigens with the same affinity an
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Introduction,nt to produce a speech, action, or motor activity. This intent, at the same time, gives rise to a complex signal with deterministic peaks in the brain, commonly known as EEG signals. The signals, when transmitted to the nervous system and to the muscles, result in performance of the intended action.
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Results and Conclusion,cceptable. Based on the results in this section, the end algorithm was obtained which gave the highest accuracies in overall performance. Future work will include betterment of the algorithms and inclusion of a higher number of subjects for data collection and corroboration.
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