EEG-Driven Brain–Computer Musical Interfaces for Emotion Self-Induction

Authors: Monroy D'Croz, Pablo Andrés

Thesis Advisors: Ramírez, Rafael, Céspedes Guevara, Julián

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Interfície cervell-ordinador, Brain Computer Interface, Interfaz cerebro-computadora, Neurofeedback EEG en temps real, Real-Time EEG Neurofeedback, Neurofeedback EEG en tiempo real, Autoinducció emocional, Emotion self-induction, Autoinducción emocional, Generació algorítmica de música, Algorithmic music generation, Generación algorítmica de música

File Description: application/pdf

Access URL: https://hdl.handle.net/10803/698411

Toward a Neuroadaptive Storyteller: Does Designed Narrative Suspense Drive Audience Physiology?

Authors: Zidar, Lucija Mihic, Wicke, Philipp, Klug, Marius, Zander, Thorsten O.

Source: 2026 14th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2026 14th International Conference on. :1-5 Sep, 2026

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Motor Intention Recognition from EEG Signals for Augmented Reality-Based Upper-Limb Rehabilitation

Authors: Pukas, Andriy, Smal, Vitalii, Tyran, Serhii, Sushko, Stepan, Holovach, Andrii, Pukas, Khrystyna

Source: 2026 16th International Conference on Advanced Computer Information Technologies (ACIT) Advanced Computer Information Technologies (ACIT), 2026 16th International Conference on. :1263-1267 Sep, 2026

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EEG-Based Neuroadaptive Fitness Framework with AI and VR Integration

Authors: Choudhury, Anupam, Choudhury, Sapna Jain, Verma, Saurabh

Source: 2026 IEEE 5th World Conference on Applied Intelligence and Computing (AIC) Applied Intelligence and Computing (AIC), 2026 IEEE 5th World Conference on. :832-840 Aug, 2026

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CogniQ: An MCP-Driven Architecture for Hybrid Classical-Quantum Brain-Computer Interfaces

Authors: Gopakumar, Parth, Moncy, Reena, Winson, Savio, Sharma, Swastik

Source: 2026 IEEE 5th World Conference on Applied Intelligence and Computing (AIC) Applied Intelligence and Computing (AIC), 2026 IEEE 5th World Conference on. :1125-1132 Aug, 2026

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Edge-BCI: Lightweight Dual-Mode Cognitive-State Classification for Single-Channel Wearable EEG

Authors: Wang, Jianan, Yu, Le

Source: 2026 6th International Conference on Computer Science and Blockchain (CCSB) Computer Science and Blockchain (CCSB), 2026 6th International Conference on. :678-683 Aug, 2026

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Lite-EEGTrans: An Interpretable Real-Time Motor Imagery EEG Denoising and Classification for Embedded Robotic BCI

Authors: Pal, Tanisha, Maity, Maitreya, Bapi, Raju S.

Source: 2026 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) Emerging Techniques in Computational Intelligence (ICETCI), 2026 International Conference on. :1-7 Aug, 2026

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EEG-Based Brain-Computer Interface Control for Lower-Limb Rehabilitation Robots: A Focused Review

Authors: Li, Yongkang, Wang, Aihui, Liu, Xinyu, Hu, Xueying, Sun, Wenhan

Source: 2026 International Conference on Advanced Mechatronic Systems (ICAMechS) Advanced Mechatronic Systems (ICAMechS), 2026 International Conference on. :103-108 Aug, 2026

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EEG-Based Emotion Prediction for Non-Verbal Patients Using Dynamic Graph Convolutional Neural Networks

Authors: S, Bakkialakshmi V, Mohan, S Krishna, P, Govind M

Source: 2026 International Conference on Modern Sustainable Systems (CMSS) Modern Sustainable Systems (CMSS), 2026 International Conference on. :934-940 Aug, 2026

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Embedded AI for Subject-Independent Brain Computer Interface using EEG Signals

Authors: Meraz, Ivan, Amezaga, Matthew, Islam, Md Rifatul, Siddiqua, Fariza, Shuvo, Md Maruf Hossain

Source: 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS) Circuits and Systems (MWSCAS), 2026 IEEE 69th International Midwest Symposium on. :698-702 Aug, 2026

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ZKBrainScape: A Deployment-Oriented Framework for Multimodal EEG Foundation Models

Authors: Zhong, Chongliang, Che, Quanhong, Che, James, Che, Johnson, Li, Na, Wang, Zhong, Zhou, Qingbiao, Tan, Haozhang

Source: 2026 3rd International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML) Image Processing, Multimedia Technology and Machine Learning (IPMML), 2026 3rd International Conference on. :208-214 Aug, 2026

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A Multimodal Affective Mandarin Protocol for Non-Invasive Brain-to-Text and Emotion-State Decoding

Authors: Zhong, Chongliang, Che, Quanhong, Che, James, Che, Johnson, Li, Na, Wang, Zhong, Zhou, Qingbiao, Tan, Haozhang

Source: 2026 3rd International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML) Image Processing, Multimedia Technology and Machine Learning (IPMML), 2026 3rd International Conference on. :215-220 Aug, 2026

Relation: 2026 3rd International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML)

NeuroVision: Decoding Image-Evoked EEG Patterns Using a Lightweight 1D-CNN for Assistive Brain-Computer Interfaces

Authors: K, Mahantesh, S N, Chaithra, Rao, Pooja R, B A, Smitha

Source: 2026 2nd International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 2026 2nd International Conference on. :1-8 Aug, 2026

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Signal Acquisition and Deep Learning Approaches in Brain-Computer Interface Systems

Authors: Gadbail, Harshraj N., Rewatkar, Rajendra, Gundewar, Swapnil, Bansod, Sneha, Zade, Sujal, Agrawal, Tushar

Source: 2026 7th International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC) Computational Vision and Bio Inspired Computing (ICCVBIC), 2026 7th International Conference On. :1792-1800 Aug, 2026

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Bulbar-Dominant ALS: EEG-Based BCI Assistive Communication with ROS

Authors: Selvamani, Vinoth, R, Sachin, S, Arun, S, Subashini

Source: 2026 10th International Conference on Inventive Systems and Control (ICISC) Inventive Systems and Control (ICISC), 2026 10th International Conference on. :25-30 Aug, 2026

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EEG-Based Imagined Speech Classification Using Statistical Features and Machine Learning Models

Authors: K S, Uma, Medikonda, Jeevan, Powar, Omkar S., Aithal, Venkataraja U., Uppunda, Ajith Kumar

Source: 2026 2nd International Conference on Innovations in Mechanical, Robotics, Computing and Biomedical Engineering (ICIMRBE) Innovations in Mechanical, Robotics, Computing and Biomedical Engineering (ICIMRBE), 2026 2nd International Conference on. :1-6 Aug, 2026

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Calibration-Aware Transfer Learning for 125 Hz OpenBCI Motor Imagery BCI With Real-Time Assistive Control

Authors: Al-Alousi, Al-Abass, Al-Sebaeai, Abdulrahman, Alquhfah, Abubakr, Albahm, Osama, Al-Jadabi, Sultan, Hajar, Ali, Zuhait, Najm

Source: 2026 6th International Conference on Emerging Smart Technologies and Applications (eSmarTA) Emerging Smart Technologies and Applications (eSmarTA), 2026 6th International Conference on. :1-8 Aug, 2026

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Enhancing Motor Imagery Performance with Real-time Augmented Reality Feedback

Authors: Rangpong, Phurin, Connelly, Akima, Zhang, Zhuohao, Yagi, Tohru

Source: 2026 IEEE International Conference on Mechatronics and Automation (ICMA) Mechatronics and Automation (ICMA), 2026 IEEE International Conference on. :566-571 Aug, 2026

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Source Data Selection for Brain–Computer Interfaces Based on Simple Features

Authors: Heskebeck, Frida, Author, Bergeling, Carolina, 1990-, Author, Bernhardsson, Bo, Author

Contributors: Heskebeck, Frida, Author, Bergeling, Carolina, 1990-, Author, Bernhardsson, Bo, Author

Source: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication IEEE Access. 14:36191-36201

Subject Terms: Brain–computer interface, calibration, cross subject, machine learning, Riemannian geometry, source data selection, transfer learning, Data communication systems, Data reduction, Feature Selection, Geometry, Interfaces (computer), Learning systems, Real time control, Data Selection, Machine-learning, Performance predictor, Source data, Source selection, Transfer performance

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-29271
https://doi.org/10.1109/ACCESS.2026.3670905

MSHANet: A Multiscale Hybrid Attention Network for Motor Imagery EEG Decoding

Authors: Zhao, Y., Cao, D., Yu, H., Liang, G., Chen, Z.

Source: IEEE Transactions on Biomedical Engineering IEEE Trans. Biomed. Eng. Biomedical Engineering, IEEE Transactions on. 73(10):3469-3479 Oct, 2026