Ad Hoc Networks, Journal Year: 2025, Volume and Issue: unknown, P. 103756 - 103756
Published: Jan. 1, 2025
Language: Английский
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 103976 - 104019
Published: Jan. 1, 2024
Emotion recognition involves accurately interpreting human emotions from various sources and modalities, including questionnaires, verbal, physiological signals. With its broad applications in affective computing, computational creativity, human-robot interactions, market research, the field has seen a surge interest recent years. This paper presents systematic review of multimodal emotion (MER) techniques developed 2014 to 2024, encompassing signals, facial, body gesture, speech as well emerging methods like sketches recognition. The explores models, distinguishing between emotions, feelings, sentiments, moods, along with emotional expression, categorized both artistic non-verbal ways. It also discusses background automated systems introduces seven criteria for evaluating modalities alongside current state analysis MER, drawn human-centric perspective this field. By selecting PRISMA guidelines carefully analyzing 45 selected articles, provides comprehensive perspectives into existing studies, datasets, technical approaches, identified gaps, future directions MER. highlights challenges
Language: Английский
Citations
17
Frontiers of Architectural Research, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
2
Advanced Materials, Journal Year: 2024, Volume and Issue: 36(31)
Published: May 28, 2024
Understanding psychology is an important task in modern society which helps predict human behavior and provide feedback accordingly. Monitoring of weak psychological emotional changes requires bioelectronic devices to be stretchable compliant for unobtrusive high-fidelity signal acquisition. Thin conductive polymer film regarded as ideal interface; however, it very challenging simultaneously balance mechanical robustness opto-electrical property. Here, a 40 nm-thick based on photolithographic double-network mediated by graphene layer reported, concurrently enables stretchability, conductivity, conformability. Photolithographic endow the photopatternability, enhance stress dissipation capability, well improve conductivity (4458 S cm
Language: Английский
Citations
16
IEEE/CAA Journal of Automatica Sinica, Journal Year: 2024, Volume and Issue: 11(5), P. 1075 - 1091
Published: April 15, 2024
A long history has passed since electromyography (EMG) signals have been explored in human-centered robots for intuitive interaction. However, it still a gap between scientific research and real-life applications. Previous studies mainly focused on EMG decoding algorithms, leaving dynamic relationship the human, robot, uncertain environment scenarios seldomly concerned. To fill this gap, paper presents comprehensive review of EMG-based techniques human-robot-environment interaction (HREI) systems. The general processing framework is summarized, three paradigms, including direct control, sensory feedback, partial autonomous are introduced. intention treated as module proposed paradigms. Five key issues involving precision, stability, user attention, compliance, environmental awareness field discussed. Several important directions, decomposition, robust HREI dataset, proprioception reinforcement learning, embodied intelligence, to pave way future research. best what we know, first time that methods system summarized. It provides novel broader perspective improve practicability current myoelectric systems, which factors human-robot interaction, robot-environment state perception by human sensations considered, never done previous studies.
Language: Английский
Citations
13
Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 254, P. 108253 - 108253
Published: May 28, 2024
Language: Английский
Citations
11
Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 94, P. 106241 - 106241
Published: April 1, 2024
Language: Английский
Citations
10
Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 110004 - 110004
Published: Jan. 8, 2025
Language: Английский
Citations
1
Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16
Published: Feb. 21, 2025
Plant diseases and pests pose significant threats to crop yield quality, prompting the exploration of digital image processing techniques for their detection. Recent advancements in deep learning models have shown remarkable progress this domain, outperforming traditional methods across various fronts including classification, detection, segmentation networks. This review delves into recent research endeavors focused on leveraging detecting plant pest diseases, reflecting a burgeoning interest among researchers artificial intelligence-driven approaches agricultural analysis. The study begins by elucidating limitations conventional detection methods, setting stage exploring challenges opportunities inherent deploying real-world applications disease infestation Moreover, offers insights potential solutions while critically analyzing obstacles encountered. Furthermore, it conducts meticulous examination prognostication trajectory Through comprehensive analysis, seeks provide nuanced understanding evolving landscape prospects vital area research. highlights that state-of-the-art achieved impressive accuracies, with classification tasks often exceeding 95% networks demonstrating precision rates above 90% identifying infestations. These findings underscore transformative revolutionizing diagnostics.
Language: Английский
Citations
1
AI, Journal Year: 2025, Volume and Issue: 6(3), P. 56 - 56
Published: March 13, 2025
Empathetic and coherent responses are critical in automated chatbot-facilitated psychotherapy. This study addresses the challenge of enhancing emotional contextual understanding large language models (LLMs) psychiatric applications. We introduce Emotion-Aware Embedding Fusion, a novel framework integrating hierarchical fusion attention mechanisms to prioritize semantic features therapy transcripts. Our approach combines multiple emotion lexicons, including NRC Emotion Lexicon, VADER, WordNet, SentiWordNet, with state-of-the-art LLMs such as Flan-T5, Llama 2, DeepSeek-R1, ChatGPT 4. Therapy session transcripts, comprising over 2000 samples, segmented into levels (word, sentence, session) using neural networks, while these pooling techniques refine representations. Attention mechanisms, multi-head self-attention cross-attention, further features, enabling temporal modeling shifts across sessions. The processed embeddings, computed BERT, GPT-3, RoBERTa, stored Facebook AI similarity search vector database, which enables efficient clustering dense spaces. Upon user queries, relevant segments retrieved provided context LLMs, their ability generate empathetic contextually responses. proposed is evaluated practical use cases demonstrate real-world applicability, AI-driven chatbots. system can be integrated existing mental health platforms personalized based on data. experimental results show that our enhances empathy, coherence, informativeness, fluency, surpassing baseline improving LLMs’ intelligence adaptability for
Language: Английский
Citations
1
PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2065 - e2065
Published: May 23, 2024
Emotion recognition utilizing EEG signals has emerged as a pivotal component of human–computer interaction. In recent years, with the relentless advancement deep learning techniques, using for analyzing assumed prominent role in emotion recognition. Applying context EEG-based carries profound practical implications. Although many model approaches and some review articles have scrutinized this domain, they yet to undergo comprehensive precise classification summarization process. The existing classifications are somewhat coarse, insufficient attention given potential applications within domain. Therefore, article systematically classifies developments recognition, providing researchers lucid understanding field’s various trajectories methodologies. Additionally, it elucidates why distinct directions necessitate modeling approaches. conclusion, synthesizes dissects significance emphasizing its promising avenues future application.
Language: Английский
Citations
8