EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

“…These findings enhance our understanding of emotional processing and have practical applications in mental health, biomarker identification, and human-computer interaction.…”
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Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition by Shun Yao, Yihan Ping, Xiaoyu Yue, Xiaoyu Yue, He Chen, He Chen

“…IntroductionAccurate recognition of martial arts leg poses is essential for applications in sports analytics, rehabilitation, and human-computer interaction. Traditional pose recognition models, relying on sequential or convolutional approaches, often struggle to capture the complex spatial-temporal dependencies inherent in martial arts movements. …”
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A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems by Mario Amrehn, Stefan Steidl, Reinier Kortekaas, Maddalena Strumia, Markus Weingarten, Markus Kowarschik, Andreas Maier

“…The optimization of human computer interaction (HCI) is an essential part of interactive image segmentation. …”
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The New Approach Research on Singing Voice Detection Algorithm Based on Enhanced Reconstruction Residual Network by Lilin Liu

“…How to realize computer analysis and perceive users’ needs for music resources has become the goal of the future development of human-computer interaction capabilities. Content-based music information retrieval applications are mainly embodied in the automatic classification and recognition of music. …”
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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

“…The technology of behavior recognition finds its practical application across domains such as human-computer interaction, intelligent surveillance, and anomaly detection, exhibiting a robust blend of pragmatic utility and scholarly significance. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Air-writing is an emerging form of human-computer interaction that enables text entry through hand movements in the air. …”
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Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

“…Gesture recognition is a crucial aspect in the advancement of virtual reality, healthcare, and human-computer interaction, and requires innovative methodologies to meet the increasing demands for precision. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. …”
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Sign Language Recognition System for Deaf Patients: Protocol for a Systematic Review by Milena Soriano Marcolino, Lucca Fagundes Ramos Oliveira, Lucas Rocha Valle, Luiza Marinho Motta Santa Rosa, Zilma Silveira Nogueira Reis, Thiago Barbabela de Castro Soares, Elidéa Lúcia Almeida Bernardino, Raniere Alislan Almeida Cordeiro, Raquel Oliveira Prates, Mario Fernando Montenegro Campos

“…ObjectiveThis study aims to systematically review the evidence on communication systems using human-computer interaction techniques developed for deaf people who communicate through sign language that are already in use or proposed for use in health care contexts and have been tested with human users or videos of human users. …”
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Pengaruh Ciri Temporal, Spasial, dan Frekuensi pada Klasifikasi Motor Imagery by Afin Muhammad Nurtsani, Muhammad Adib Syamlan, Agung Wahyu Setiawan

“…Selain itu, pengklasifikasi RF memberikan kinerja yang paling baik dibandingkan dengan SVM; k-NN; serta NB.    Abstract  Human-computer interaction is a necessity and will be deployed in the near future, especially in rehabilitation engineering. …”
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Evaluación bibliométrica de la investigación sobre Tecnologías Habilitadoras para la Transformación Digital en Cuba by Yudayly Stable-Rodríguez, Lee Yang Díaz-Chieng, Alfredo Javier Pérez Gamboa, Esteban Rodríguez-Torres

“…Hubo mayoría de las temáticas artificial inteligente, machine learning, learning systems, human computer interaction y data minning relacionados con la salud. …”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…Human activity recognition (HAR) has attracted significant attention in various fields, including healthcare, smart homes, and human-computer interaction. Accurate HAR can enhance user experience, provide critical health insights, and enable sophisticated context-aware applications. …”
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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Abstract Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-computer interaction, or HCI), security systems and emotionally intelligent artificial intelligence technologies. …”
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Artificial Intelligence–Powered Training Database for Clinical Thinking: App Development Study by Heng Wang, Danni Zheng, Mengying Wang, Hong Ji, Jiangli Han, Yan Wang, Ning Shen, Jie Qiao

“… Abstract BackgroundWith the development of artificial intelligence (AI),ntered the era of intelligent medicine ObjectiveThis study aimed to introduce an app named “XueYiKu,” which includes consultations, physical examinations, auxiliary examinations, and diagnosis, incorporating AI and actual complete hospital medical records to build an online-learning platform using human-computer interaction. MethodsThe “XueYiKu” app was designed as a contactless, self-service, trial-and-error system application based on actual complete hospital medical records and natural language processing technology to comprehensively assess the “clinical competence” of residents at different stages. …”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Abstract Facial expression recognition is a significant challenge in image processing and human-computer interaction due to its inherent complexity and variability. …”
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Disposable and flexible smart electronic tapes for long-term biopotential monitoring by Jiuwei Gao, Mingwei Hu, Hao Sun, Yuanyuan Wang, Yuan Wei, Weiwei Li, Lu Zheng, Manzhang Xu, Qianbo Lu, Zhiyuan Liu, Hui Yang, Yongtian Wang, Weitao Song, Xuewen Wang, Wei Huang

“…We anticipate the SET will pioneer next-gen wearable electronics for applications like disease prevention, health monitoring, and human–computer interaction.…”
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A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

“…Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human–computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. …”
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The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review by Hassan Auf, Petra Svedberg, Jens Nygren, Monika Nair, Lina E Lundgren

“…The key aspects requiring further investigation include the evaluation of the use of AI-supported decision-making from human-AI interaction and human-computer interaction perspectives, longitudinal implementation studies of AI systems in mental health to assess the use, and the integration of shared decision-making in AI systems.…”
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