Temporal Convolutional Network-Enhanced Real-Time Implicit Emotion Recognition with an Innovative Wearable fNIRS-EEG Dual-Modal System

Electronics, Journal Year: 2024, Volume and Issue: 13(7), P. 1310 - 1310

Published: March 31, 2024

Emotion recognition remains an intricate task at the crossroads of psychology and artificial intelligence, necessitating real-time, accurate discernment implicit emotional states. Here, we introduce a pioneering wearable dual-modal device, synergizing functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG) to meet this demand. The first-of-its-kind fNIRS-EEG ensemble exploits temporal convolutional network (TC-ResNet) that takes 24 fNIRS 16 EEG channels as input for extraction features. Our system has many advantages including its portability, battery efficiency, wireless capabilities, scalable architecture. It offers real-time visual interface observation cerebral electrical hemodynamic changes, tailored variety real-world scenarios. approach is comprehensive detection strategy, with new designs in architecture deployment improvement signal processing interpretation. We examine interplay emotions physiological responses elucidate cognitive processes emotion regulation. An extensive evaluation 30 subjects under four induction protocols demonstrates our bimodal system’s excellence detecting emotions, impressive classification accuracy 99.81% ability reveal interconnection between signals. Compared latest unimodal identification methods, shows significant gains 0.24% 8.37% fNIRS. Moreover, proposed TC-ResNet-driven fusion technique outperforms conventional EEG-fNIRS improving from 0.7% 32.98%. This research presents groundbreaking advancement affective computing combines biological engineering intelligence. integrated solution facilitates nuanced responsive intelligence practical applications, far-reaching impacts on personalized healthcare, education, human–computer interaction paradigms.

Language: Английский

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Neuroscience-Driven Solutions for Speech Impairment

Advances in medical education, research, and ethics (AMERE) book series, Journal Year: 2025, Volume and Issue: unknown, P. 119 - 146

Published: Jan. 10, 2025

Speech impairment presents a significant challenge for aged and chronically ill individuals. Emerging assistive technologies offer promising solutions to improve their communication abilities. This discussion explores established options like Augmentative Alternative Communication (AAC) devices cutting-edge approaches Brain-Computer Interfaces (BCIs). Neuroprosthetics, field merging neuroscience biomedical engineering, aims replace or modulate damaged parts of the nervous system. We delved into potential optogenetics, neuroengineering devices, biosensors, highlighting contributions future advancements in speech assistance. The dialogue emphasized importance comprehensive approach, combining with ongoing research on areas synthetic biology. multi-faceted approach holds key empowering speech-impaired individuals fostering improved communication.

Language: Английский

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Overcoming failure: improving acceptance and success of implanted neural interfaces

Bioelectronic Medicine, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 14, 2025

Abstract Implanted neural interfaces are electronic devices that stimulate or record from neurons with the purpose of improving quality life people who suffer injury disease. Devices have been designed to interact throughout body treat a growing variety conditions. The development and use implanted is increasing steadily has shown great success, implants lasting for years decades health many patient populations. Despite these successes, face multitude challenges remain effective lifetime their users. comprised several mechanical components each may be susceptible failure. Furthermore, interfaces, like any foreign body, will evoke an immune response. response differ in central nervous system peripheral system, as well over time, ultimately resulting encapsulation device. This review describes faced by developers interface systems, particularly already humans. technological failure modes component implant described. acute chronic reactions how they affect performance depicted. Further, physical such micro macro movements reviewed. clinical implications device failures summarized guide determining severity complication was developed provided. Common methods diagnose examine mechanical, technological, biological at various stages testing outlined, emphasis on vivo characterization systems. Finally, this concludes overview some innovative solutions reduce resolve

Language: Английский

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Regulating neural data processing in the age of BCIs: Ethical concerns and legal approaches

Digital Health, Journal Year: 2025, Volume and Issue: 11

Published: March 1, 2025

Brain-computer interfaces (BCIs) have seen increasingly fast growth under the help from AI, algorithms, and cloud computing. While providing great benefits for both medical educational purposes, BCIs involve processing of neural data which are uniquely sensitive due to their most intimate nature, posing unique risks ethical concerns especially related privacy safe control our data. In furtherance human right protection such as mental privacy, laws provide more detailed enforceable rules may balance tension between need public wellness promotion scientific progress through sharing. This article notes that current like GDPR not covered clearly, incapable full in response its specialty. The new legislative reforms U.S. states Colorado California made pioneering advances incorporate into laws. Yet regulatory gaps remain provided special additional processing. Potential problems static consent, vague research exceptions, loopholes regulating non-personal be further addressed. We recommend relevant improved measures taken amending or making acts.

Language: Английский

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Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 81265 - 81280

Published: Jan. 1, 2024

Language: Английский

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Assessing Cybersecurity Risks And Prioritizing Top Strategies In Vietnam’s Finance And Banking System Using Strategic Decision-Making Models-Based Neutrosophic Sets And Z Number

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e37893 - e37893

Published: Sept. 14, 2024

Language: Английский

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