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检索条件"任意字段=2nd International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2021"

共 329 条记录，以下是1-10 订阅

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Proceedings - 2021 2nd international conference on intelligent computing and human-computer interaction, ichci 2021

Proceedings - 2021 2nd International Conference on Intellige...

引用

2nd international conference on intelligent computing and human-computer interaction, ichci 2021

ISBN: (纸本)9781665407649

The proceedings contain 70 papers. The topics discussed include: mid-term and long-term prediction of carbon emissions in Jiangsu province based on PCA-STIRPAT improved GA-BP;prediction of PM2.5 concentration in Guangzhou based on LSTM neural network;research on the application of mathematical methods in image denoising technology;research on intelligent terminal authentication strategy based on block chain;complex network variability analysis with impact of major events on aviation networks;influence and effect of fitness applet on college students' physical health;research on the technology of generating single-table SQL query sentences in Chinese natural language;a video scene segmentation optimization algorithm based on convolutional neural network;a Roberta-based model for identifying non-substantive factual elements of the case;and research on air quality prediction based on machine learning.

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A Review of Wearable Devices for Affective computing 2

A Review of Wearable Devices for Affective Computing

引用

2nd international conference on Advancements in Smart, Secure and intelligent computing, ASSIC 2024

作者： MacHhi, Vilas S. Shah, Apurva M. The Maharaja Sayajirao University of Baroda Faculty of Technology & Engineering Computer Science & Engineering Department Vadodara India

ISBN: (纸本)9798350370188

Wearable technology is expanding rapidly in recent year. It is used in many applications in various domains, including affective computing. Affective computing is all about understanding and responding to human emotions. This paper will give an overview of a wearable device that was developed specifically for affective computing. It aims to increase the way we can understand user's emotions and allow for more personalized experiences based on their context. Multiple sensors and algorithms work together in this device to capture, analyze, and interpret our feelings through physical or behavioral signals. It can be worn as a smart-watch, wristband, or integrated into clothing or accessories. The device communicates wirelessly with a companion application installed on a smart-phone or a connected device, providing real-time feedback and insights about the user's emotional state. © 2024 IEEE.

关键词： human computer interaction

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Multi-View human Action Recognition using Adaptive Optimization Algorithm with Skeleton Based Graph Neural Networks 2

Multi-View Human Action Recognition using Adaptive Optimizat...

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2nd IEEE international conference on intelligent and Innovative Technologies in computing, Electrical and Electronics, ICIITCEE 2024

作者： Srilakshmi, N. Radha, N. Psgr Krishnammal College for Women Department of Computer Science Tamilnadu Coimbatore India

ISBN: (纸本)9798350306415

Recognizing human actions from multi-viewpoint video data is a complex task with applications in various fields, including surveillance, robotics, and human-computer interaction. An innovative approach is presented in this study to Multi-View human Action Recognition (MV-HAR) using an Adaptive Optimization Algorithm (AOA) combined with a Skeleton-based Graph Neural Network (SGNN). The proposed architecture aims to leverage the complementary information from multiple viewpoints while effectively capturing the temporal and spatial dependencies inherent in human actions. The pre-processing pipeline aligns and fuses skeleton data extracted from different viewpoints, producing a coherent representation of the action across cameras. Each skeleton sequence is transformed into a graph structure, where joints represent nodes and edges encapsulate the relationships between joints over time. This sequence of graphs is then processed by the SGNN, which learns to capture the evolving dynamics of the action through multiple graph convolutional layers. On benchmark datasets, the proposed approach proves effective with an accuracy of 96.8%. © 2024 IEEE.

关键词： Adaptive Optimization Algorithm Deep Learning Multi-View human Action Recognition Skeleton-based Graph Neural Network Temporal and Spatial Dependencies

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Emotion Speech Recognition in the Cloud 2

Emotion Speech Recognition in the Cloud

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2nd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Ganesh, Devalla Bhaskar Prasanth, Balisetty Chowdary, Manne Teena Avala, Varsha Sree Gangashetty, Suryakanth V Koneru Lakshmaiah Education Foundation Computer Science and Engineering Vaddeswaram India

ISBN: (纸本)9798350327533

Emotion speech recognition in the cloud has emerged as a transformative technology with the potential to revolutionize various sectors, induding customer service, mental health, and human-computer interaction. This abstract provides an overview of the key concepts and approaches involved in the development and deployment of emotion speech recognition systems in doud-based environments. Emotion speech recognition leverages advances in machine learning, natural language processing, and cloud computing to detect and analyze emotional cues in spoken language. By identifying emotional states, such as happiness, sadness, anger, and more, these systems offer valuable insights for businesses and healthcare providers, enabling them to improve customer experiences and mental health services. © 2024 IEEE.

关键词： Cloud computing Deep learning models Emotion recognition Natural language processing Speech analysis

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Requirements and Architecture Design of human computer interaction System for Manned Spacecraft Based on Deep Space Exploration Mission 2

Requirements and Architecture Design of Human Computer Inter...

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2nd international conference on intelligent computing and human-computer interaction, ichci 2021

作者： Li, Wanling Cheng, Hongjing Beijing Institute of Spacecraft System Engineering CAST Beijing China

ISBN: (纸本)9781665407649

Based on the function and application of human-computer interaction system of manned spacecraft, this paper analyzes its requirements in deep space exploration mission, predicts the development trend of human-computer interaction system in future manned deep space exploration mission, puts forward the conceptual model and architecture design of human-computer interaction system based on deep space exploration mission, and discusses the implementation approach. © 2021 IEEE.

关键词： human computer interaction

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A Systematic Review on human and computer interaction 2

A Systematic Review on Human and Computer Interaction

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2nd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Kotian, Abhijith L Nandipi, Reshna Ushag, G.M. Usha Rani, S. Varshauk, U.K. Veena, G.T. Computer Science and Engineering Alva's Institute of Engineering and Technology Moodbidri India

ISBN: (纸本)9798350327533

As technology continues to advance at an unprecedented pace, the interaction between humans and computers has become an integral part of our daily lives. This study provides a comprehensive review of the evolving landscape of human-computer interaction (HCI) research, focusing on the key concepts, methodologies, and advancements in this interdisciplinary field. The review begins by presenting an overview of the historical evolution of HCI, tracing its roots from early command-line interfaces to the current era of intuitive touchscreens and voice recognition systems. The fundamental principles of HCI, including usability, accessibility, and user-centered design, are examined in detail, highlighting their significance in enhancing the overall user experience. Moreover, the review explores various interaction modalities that have emerged over the years, such as graphical user interfaces, haptic feedback, augmented reality, and virtual reality. It examines the strengths, limitations, and potential applications of these modalities, shedding light on the future possibilities they hold for human-computer interaction. Furthermore, the review delves into the emerging trends in HCI research, including natural language processing, gesture recognition, machine learning, and affective computing. These advancements have paved the way for more personalized and adaptive interfaces, enabling computers to understand and respond to human emotions and intentions, thereby fostering deeper levels of engagement and satisfaction. The study also addresses the challenges and ethical considerations associated with human-computer interaction, such as privacy concerns, data security, and algorithmic biases. It emphasizes the importance of designing inclusive and ethical systems that respect users' rights and values. © 2024 IEEE.

关键词： Augmented Reality (AR) Graphical User Interfaces (GUI) human-computer interaction (HCI) User-centered Design (UCD) Virtual Reality (VR)

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Design of human-computer intelligent Online Interactive Platform for Industrial Heritage Museums Based on TCC Perception 2

Design of Human-Computer Intelligent Online Interactive Plat...

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2nd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2023

作者： Yu, Jiadi China Academy of Art Hangzhou China

ISBN: (纸本)9798350339765

The existence and development of industrial heritage museums is an important manifestation of a country's industrial cultural soft power. Taking the industrial heritage museum as the target, this paper designs a human-computer intelligence online interaction platform, which conducts online interaction through the Internet and artificial intelligence technology. Through the interactive interface, museums can realize knowledge interaction and information interaction, making such museums a platform for information interaction. Taking various museums for the activation and protection of industrial heritage as an example, the experimental design was carried out. The final experimental results show that: through the design of human-computer intelligent online interaction platform and the improvement of the service system, the possibility of the public being left out after entering the museum can be effectively reduced, and the waste of resources and time can also be avoided. This will not only enable you to have a deeper understanding of the relevant history and current situation, but also facilitate your learning, and help you to deepen your understanding of the characteristics of industrial heritage in various historical periods, so as to maximize the promotion of Chinese culture. © 2023 IEEE.

关键词： Online systems

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Research on the Usability Evaluation Model of human-computer interaction for Command and Control System 2

Research on the Usability Evaluation Model of Human-Computer...

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2nd international conference on intelligent computing and human-computer interaction, ichci 2021

作者： Liu, Ran Gao, Lanlan Liu, Yijing Le, Jian Academy of Military Sciences Beijing China

ISBN: (纸本)9781665407649

In view of the present problems encountered in the command and control system, such as lack of scientific and complete indicator system for the human-computer interactive usability, absence of the relevant evaluation model, deficiency of quantitative method of results evaluation, and unavailable comprehensive and quantitative evaluation of the results from tested system, this work analyzed the influence elements of human-computer interaction for command and control system, to build the hierarchical evaluation indices systematically. Ausability evaluation model of human-computer interaction is proposed, which can be used to find the problems of unsafety and inefficiency existing in human-computer interaction of command and control system. Iterative optimization in the procedure of system development is carried out, in order to improve the human-computer interaction of command and control system. © 2021 IEEE.

关键词： human computer interaction

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Design and Implementation of human-machine interaction (HMI) Availability Assessment System 2

Design and Implementation of Human-machine Interaction (HMI)...

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2nd international conference on intelligent computing and human-computer interaction, ichci 2021

作者： Gao, Lanlan Liu, Yijing Liu, Ran Ji, Kun Academy of Military Sciences Beijing China

ISBN: (纸本)9781665407649

In response to the problems in the implementation process of human-machine interaction (hereafter referred to HMI) availability assessment, such as heavy workload of manual data entry, easy occurrence of mistakes, lack of standardized management in the testing process and difficulty in obtaining comprehensive quantitative assessment results, this paper studies a HMI availability assessment system, which realizes the execution and management of the whole-process evaluation procedure including index system maintenance, availability test creation, test data collection and processing and assessment result display and provides a professional tool for HMI availability assessment. © 2021 IEEE.

关键词： Information management

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Design of Automatic Speech Evaluation System of Professional English for the Navy based on intelligent Recognition Technology 2

Design of Automatic Speech Evaluation System of Professional...

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2nd international conference on intelligent computing and human-computer interaction, ichci 2021

作者： Liu, Haiqi Dalian Naval Academy Dalian116018 China

ISBN: (纸本)9781665407649

With the rapid development of information technology, the application scope of intelligent technology is increasingly expanding. intelligent recognition technology has become a new trend in the reforming of foreign language teaching. This paper introduces the functional design and application of 'Automatic Speech Evaluation System of Professional English for the Navy'. Through the analysis and comparison of the standard degree, correct degree and frequency of use of English pronunciation, the corresponding data results are output to promote the students' learning and mastering of practical English in the Navy and improve the learning effect. © 2021 IEEE.

关键词： Speech recognition

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