Crop monitoring using remote sensing land use and land change data: Comparative analysis of deep learning methods using pre-trained CNN models

Big Data Research, Journal Year: 2024, Volume and Issue: 36, P. 100448 - 100448

Published: March 20, 2024

Language: Английский

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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications

Brain Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 220 - 220

Published: Feb. 20, 2025

Background/Objectives: This systematic review presents how neural and emotional networks are integrated into EEG-based emotion recognition, bridging the gap between cognitive neuroscience practical applications. Methods: Following PRISMA, 64 studies were reviewed that outlined latest feature extraction classification developments using deep learning models such as CNNs RNNs. Results: Indeed, findings showed multimodal approaches practical, especially combinations involving EEG with physiological signals, thus improving accuracy of classification, even surpassing 90% in some studies. Key signal processing techniques used during this process include spectral features, connectivity analysis, frontal asymmetry detection, which helped enhance performance recognition. Despite these advances, challenges remain more significant real-time processing, where a trade-off computational efficiency limits implementation. High cost is prohibitive to use real-world applications, therefore indicating need for development application optimization techniques. Aside from this, obstacles inconsistency labeling emotions, variation experimental protocols, non-standardized datasets regarding generalizability recognition systems. Discussion: These developing adaptive, algorithms, integrating other inputs like facial expressions sensors, standardized protocols elicitation classification. Further, related ethical issues respect privacy, data security, machine model biases be much proclaimed responsibly apply research on emotions areas healthcare, human–computer interaction, marketing. Conclusions: provides critical insight suggestions further field toward robust, scalable, applications by consolidating current methodologies identifying their key limitations.

Language: Английский

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Mobile EEG for neurourbanism research - What could possibly go wrong? A critical review with guidelines

Journal of Environmental Psychology, Journal Year: 2024, Volume and Issue: 96, P. 102308 - 102308

Published: April 24, 2024

Language: Английский

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Research Contents, Methods and Prospects of Emotional Architecture Based on a Systematic Literature Review

Buildings, Journal Year: 2024, Volume and Issue: 14(4), P. 997 - 997

Published: April 4, 2024

In recent years, research on building perception has increasingly become a hot topic. More and more scholars have explored the user perceptions of built environment guided design through results. The technical method emotional engineering can quantify people’s emotions facilitate exploration users’ in environment. However, most existing is empirical, there no article to review interdisciplinary direction architecture engineering. This uses PRISMA conduct systematic literature 147 studies assessment using methods, discusses relationship between humans, especially terms emotions, cognition, behavior, physiology. Through review, theoretical basis put forward. It constructs interactive mode framework reveals that combination artificial intelligence, big data machine learning may be new future.

Language: Английский

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Integrating virtual reality and environmental stimuli for ADHD: advancing emotional regulation and therapeutic engagement

Caderno Pedagógico, Journal Year: 2025, Volume and Issue: 22(2), P. e13436 - e13436

Published: Jan. 17, 2025

This narrative review examines the potential of virtual reality (VR) and environmental stimuli in enhancing emotional self-regulation for children with Attention Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting approximately 5% school-aged worldwide. ADHD is characterized by symptoms inattention, hyperactivity, impulsivity, leading to significant challenges behavioral regulation. Recent advances suggest that VR-based interventions offer unique therapeutic benefits creating immersive, controlled environments facilitate sensory processing cognitive modulation. synthesizes research on VR applications identify mechanisms audiovisual elements most effectively promote regulation ADHD. Integrating presents an innovative, non-invasive approach has enhance engagement, stability, overall well-being

Language: Английский

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Severity of anhedonia is associated with hyper-synchronization of the salience-default mode network in non-clinical individuals: a resting state EEG connectivity study

Journal of Neural Transmission, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Anhedonia is a core transnosographic symptom in several neuropsychiatric disorders. Recently, the Triple Network (TN) model has been proposed as useful neurophysiological paradigm for conceptualizing anhedonia, providing new insights to clinicians and researchers. Despite this, relationship between functional dynamics of TN severity anhedonia relatively understudied non-clinical samples, especially resting state (RS) condition. Therefore, current study, we investigated this using electroencephalography (EEG) connectivity. Eighty-two participants (36 males; mean age: 24.28 ± 7.35 years) underwent RS EEG recording with eyes-closed completed Beck Depression Inventory-derived 4-item scale (BDI-Anh4) Brief Symptoms Inventory (BSI). data on connectivity were analyzed exact low-resolution electromagnetic tomography (eLORETA). A significant positive correlation was observed BDI-Anh4 total score salience-default mode network beta frequency band (r = 0.409; p 0.010). The results hierarchical linear regression analysis also showed that pattern positively independently associated (β 0.358; < 0.001) explained an additional 11% variability. association increased synchronization detected study may reflect difficulty disengaging from internal/self-related mental contents, which consequently impairs processing other stimuli, including rewarding stimuli.

Language: Английский

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Brain Networks that Experience Virtual Nature: Cognitive Pre-tuning Due to Emotional Intelligence

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 232 - 243

Published: Jan. 1, 2025

Language: Английский

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A generational relational model of nature and mental wellbeing: results of a qualitative analysis

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: March 24, 2025

Introduction There is a developing evidence base for the benefits of natural environments health and mental wellbeing. However, given increasing urbanisation our planet subsequent disconnection from world, there danger that we may ultimately suffer nature ‘generational amnesia’. The facets mechanisms underpinning these relationships are poorly understood theoretical frameworks needed to aid further research. paucity research into lived experiences people with good wellbeing their experiences, which has potential elucidate key elements nature-wellbeing relationship. Methods current study used qualitative design explore themes concerning nature, 12 self-reported Semi-structured interviews were carried out data analysed using thematic analysis. Results Two overarching human-nature relationship self-regulation encapsulated data. Within first, two superordinate developmental interconnectedness . Self-regulation consisted managing flourishing Discussion A model proposed help better understand relational in generational context. informed by Cognitive Analytic Therapy attachment theory generates testable hypotheses future

Language: Английский

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Compassion Towards Nature and Well-Being: The Role of Climate Change Anxiety and Pro-Environmental Behaviors

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4349 - 4349

Published: May 11, 2025

The current study examined the structure and psychometric characteristics of Portuguese version Climate Change Anxiety Scale (CAS), exploring climate change anxiety environmental action mediator effects on relationship between connection to nature well-being, whether self-compassion receiving compassion from others would moderate these associations. sample was composed 522 participants general population who completed a set self-report measures through an online survey. Exploratory factor analysis results CAS extracted four factors, confirmatory revealed acceptable fit this data (χ2 (164) = 328.67; p < 0.001, CMIN/DF 2.004; CFI 0.94; TLI 0.93; RMSEA 0.06 [90% CI 0.05–0.07; 0.001]). demonstrated good internal consistency (α 0.92) convergent, concurrent, divergent validities. Two moderated mediation models showed significant direct effect significantly moderating relationship. Furthermore, in both models, mediate association well-being. Overall, with seems enhance well-being lower medium levels but may increase all levels, reinforcing importance promoting nature-based interventions combined compassion-focused programs foster

Language: Английский

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Research on healing-oriented street design based on quantitative emotional electroencephalography and eye-tracking technology

Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: May 13, 2025

This study seeks to evaluate how street space design impacts users’ psychological healing. In the introduction, we highlight significance of this research area and outline our objectives. Regarding methods, employed Electroencephalography (EEG) eye - tracking technologies, centering on two elements: interface type green ratings, used physiological indicators measure healing responses. As for results, EEG data showed that open interfaces reduce cognitive load while high ratings offer positive natural stimulation, both enhancing effects. Eye indicated might influence more than type, likely due their role in determining element richness. The subjective questionnaire also underlined importance being away extent discussion, confirm effectiveness assessing present an evaluation framework blending emotional Overall, provides empirical basis optimizing improving interventions.

Language: Английский

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