Joint Investigation and 3D Visual Evaluation of Rock Mass Quality by Haiping Yuan, Chenghao Chen, Yixian Wang, Hanbing Bian, Yan Liu

“…The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations.…”
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Using Depth Cameras for Recognition and Segmentation of Hand Gestures by Khalid Twarish Alhamazani, Jalawi Alshudukhi, Talal Saad Alharbi, Saud Aljaloud, Zelalem Meraf

“…Hand gesture recognition enables human-computer interaction (HCI) system developers to create more immersive, natural, and intuitive experiences and interactions. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Abstract Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. Current methods use simple sub-models for feature extraction, neglecting multi-scale features and the complexity of emotions. …”
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Until you have something to lose! Loss aversion and two-factor authentication adoption by Ahmad R. Pratama, Firman M. Firmansyah

“…Originality/value – Authentication is one of the most important topics in cybersecurity that is related to human-computer interaction. While 2FA increases the security level of authentication methods, it also requires extra efforts that can translate to some level of inconvenience on the user's end. …”
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Parkgoers go to the virtual park: a classification framework, systematic review, and future tourism research agenda by Aniesa Samira Bafadhal, Faiz Izwan Anuar, Mohd Hafiz Hanafiah

“…Despite its potential, research on virtual parks remains nascent, necessitating further exploration to establish a robust field within tourism and leisure studies.Methods This study employed ATLAS.ti version 23 to conduct a Systematic Literature Review (SLR) focused on developing a Human-Computer Interaction (HCI) classification framework for virtual parks following the established guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020. …”
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Protocol for a qualitative study to explore acceptability, barriers and facilitators of the implementation of new teleophthalmology technologies between community optometry practic... by Ann Blandford, Konstantinos Balaskas, Rima Hussain, Sarah Abdi, Angela Aristidou, Josie Carmichael, Giulia Cappellaro

“…Findings will be reported through academic journals and conferences in ophthalmology, health services research, management studies and human-computer interaction.…”
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An Overview of Human Pose Estimation Based on Wireless Signals by Yan CHEN, Rui ZHANG, Yadong LI, Ruiyuan SONG, Ruixu GENG, Hanqin GONG, Binquan WANG, Dongheng ZHANG, Yang HU

“…Human pose estimation holds tremendous potential in fields such as human-computer interaction, motion capture, and virtual reality, making it a focus in human perception research. …”
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A Paradigm for Modeling Infectious Diseases: Assessing Malware Spread in Early-Stage Outbreaks by Egils Ginters, Uga Dumpis, Laura Calvet Liñán, Miquel Angel Piera Eroles, Kawa Nazemi, Andrejs Matvejevs, Mario Arturo Ruiz Estrada

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Advances in the application of human-machine collaboration in healthcare: insights from China by Wuzhen Wang, Liangji Liu

“…We use the subject words “Human–machine collaboration” OR “Human-Computer Interaction” OR “HCI” AND “chronic disease” OR “Health management” OR ”Precision medicine “were searched for CNKI, Wanfang Data, VIP, CBM, PubMed, Web of science, Embase, Cochrane Library and other Chinese and English databases to identify all relevant studies and compare their results, and finally include 68 relevant literature articles, we identified the broad application of HCI in five main areas: disease screening and treatment, health management, medical education, traditional medicine, and the integration and processing of medical data. …”
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Exploring Conditions for Designing Citizen Observatories in Sri Lanka: The Case of Air Quality in Rural Areas by Chaminda Rathnayake, Somya Joshi, Teresa Cerratto-Pargman

“…Our findings indicate that most often, the citizen science practices identified and discussed by the literature on COs and human-computer interaction are at odds with rural communities’ priorities and sensing praxis in countries such as Sri Lanka. …”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“… Action recognition in videos is one of the essential, challenging and active area of research in the field of computer vision that adopted in various applications including automated surveillance systems, security systems and human computer interaction. In this paper, we present an in-depth comparative analysis of five CNN-RNN models based on pre-trained networks such as InceptionV3, VGG16, MobileNetV2, ResNet152V2 and InceptionResNetV2 with recurrent LSTM units for action recognition on Anomaly-5 dataset. …”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…Gesture recognition technology based on surface electromyography signal (sEMG) has important application value in human-computer interaction, medical rehabilitation, and other fields. …”
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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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Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases by YANG Banghua

“…Brain-computer interface (BCI) technology is an innovative human-computer interaction technology that does not rely on the peripheral nerve transmission pathway and muscle tissues, and establishes the connection between the human brain and the external machine. …”
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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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A Dynamic Balanced Single-Source Domain Generalization Model for Cross-Posture Myoelectric Control by Tanying Su, Xin Tan, Xinyu Jiang, Xiao Liu, Bo Hu, Chenyun Dai

“…Electromyography (EMG) based Human-Computer Interaction (HCI) through wearable devices frequently encounter variability in body postures, which can modify the amplitude and frequency features of surface EMG (sEMG) signals. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…Blink detection is a highly concerned research direction in the field of computer vision, which plays a key role in various application scenes such as human-computer interaction, fatigue detection and emotion perception. …”
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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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