human computer interaction ieee paper 2021


Human-computer interaction studies the design and use of computer technology, focused on the interfaces between people and computers. Researchers in the field of HCI observe the ways in which humans interact with computers and they design technologies that let humans interact with computers in novel ways

Human-computer interaction (HCI) is a multidisciplinary subject that focuses on computer design and user experience. It brings together expertise from computer science, cognitive psychology, behavioural science, and design to understand and facilitate better interactions between users and machines

HCI research based on gaze gestures has emerged and is increasing rapidly. Methodology For Hand Gesture Recognition For Human-Computer Interaction: In this method, when the user gives a gesture to the system it instantly captures the image of the hand gesture with the help of its camera module

Research on human computer interaction intention recognition based on EEG and eye movement
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In this work, we present a novel method to intention recognition, based on electroencephalogram (EEG) and eye movement in human computer interaction (HCI). The fusion of EEG and eye movement will allow the utmost of the advantages of the two

Data Comics for Reporting Controlled User Studies in Human Computer Interaction
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Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of humancomputer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study design, and reporting results, many of

Smartphone sensors for modeling human computer interaction : General outlook and research datasets for user authentication
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In this paper we list the sensors commonly available in modern smartphones and provide a general outlook of the different ways these sensors can be used for modeling the interaction between human and smartphones. We then provide a taxonomy of applications that can

An optimal Electrical Impedance Tomography drive pattern for human computer interaction applications
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In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based on feature selection and model explanation, and proposed a portable EIT system for applications in human computer interaction for gesture recognition and contact detection As stated by Spock , change is the essential process of all existence. , which is reflected in everyday applications in our daily lives. We as humans just need to find a way to make the best use of the current technological advances. The pandemic has managed to exploit our

The progress of human pose estimation: a survey and taxonomy of models applied in 2D human pose estimation
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image. This step is a crucial prerequisite to multiple tasks of computer vision which include human action recognition, human tracking, human computer interaction gaming, sign languages, and video surveillance. Therefore

Multimodal approach of speech emotion recognition using multi-level multi-head fusion attention-based recurrent neural network
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ABSTRACT Speech emotion recognition is a challenging but important task in human computer interaction (HCI). As technology and understanding of emotion are progressing, it is necessary to design robust and reliable emotion

A Three-Dimensional Ultrasonic Pen-Type Input Device With Millimeter-Level Accuracy for Human Computer Interaction
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In this article, a pen-type device that enables three-dimensional (3D) human computer interaction is presented. This device is based on a high-precision 3D ultrasonic (US) positioning method, which can achieve millimeter-level accurate 3D positioning and six

Multimodal fused emotion recognition about expression-EEG interaction and collaboration using deep learning
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Emotion communication is an important part of social life . Therefore, emotionalization for human computer interaction is not only a hot topic in the life science and infor- mation research, but also a focus with many unsolved prob- lems in the cognitive field Contribution: This work presents a teaching and learning process for human computer interaction (HCI) courses, combining traditional lecture-based classroom (TLBC), active learning (AL) and project-based learning elements, such that students can increase their Over the years, network monitoring tools have evolved to keep pace with the advances in networking technologies and paradigms, such as virtualization and softwarization, and more recently, data plane programmability. However, there have been few advances regarding A plethora of commercial social robots and social robotics startups have risen over the last few years. At a cursory glance, most such robots are merely conversational agents, essentially offering a similar or subset of the capabilities of a smart communication device This paper presents a state-of-the-art review in Hu-man Computer Interaction (HCI), where the Laban Movement Analysis (LMA) method is used to analyze and describe the qualitative aspects of humen gestures and movements. Composed by Shape, Body, Space and Effort In the modern era of data, advanced approaches for extracting information and knowledge from data are required. Moreover, the extracted information needs to be formalised to be usable by information systems. Today, there exist several resources of semantics on food

Pyramid with Super Resolution for In-the-Wild Facial Expression Recognition
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ABSTRACT Facial Expression Recognition (FER) is a challenging task that improves natural human computer interaction . This paper art methods. INDEX TERMS Emotion recognition, image resolution, human computer interaction

Self-supervised learning for audio-visual speaker diarization
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ABSTRACT Speaker diarization, which is to find the speech seg- ments of specific speakers, has been widely used in human centered applications such as video conferences or human computer interaction systems. In this sEMG is a promising human computer interaction approach, which has been widely used in myriads of areas. To perform sEMG classification, more and more sophisticated machine learning strategies have been developed. However, the deep neural network still has limited

Expression-EEG based collaborative multimodal emotion recognition using deep autoencoder
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attitudes and play an important role in the communication between people . The research of emotion recognition has very important value in the application of human computer inter- action . The environment in human computer interaction system is complex and dynamic The purpose of the research is to validate the potential of Yogic Hand Gestures in a well- formed human computer interface with a real-time image sequence taken on a video recording device to trace the potential subject region (PSR) spontaneously, essentially, the

CapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection
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ABSTRACT Passive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human computer interaction fall detection, and many other location-based services in smart buildings

Augmented Reality Dynamic Image Recognition Technology Based on Deep Learning Algorithm
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ABSTRACT Augmented reality is a research hotspot developed on the basis of virtual reality. Friendly human computer interaction interface makes the application prospect of augmented reality technology very broad. Convolutional

Enhancing College Chat Bot Assistant with the Help of Richer Human Computer Interaction and Speech Recognition
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Chat bots are the expert systems that understands and responds to the query asked by users in their own language. Chat bot responds in conversation just like how a human interact with each other. It works as a virtual assistant and its accuracy is determined by Personal computers and smartphones are now used by people belonging to different age groups and professions, and for different purposes. Human computer interaction is a sub- discipline of computer science that studies how users interact with these devices and use

Hybrid feature selection method based on harmony search and naked mole-rat algorithms for spoken language identification from audio signals
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This paper deals with S-LID to be used for Human Computer Interaction (HCI) based applications by attempting to classify various languages from three multi-lingual databases namely CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages, VoxForge and

A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features
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ABSTRACT The problem of recognition and classification of emotions in speech is one of the most prominent research topics, that has gained popularity, in human computer interaction in the last decades. Having recognized In order to enhance the efficiency of the Human Computer Interaction (HCI) process, users understanding research is the fundamental element for determining the success of the design. Proper user understanding and identifying information about their hobbies, habits Vision based hand gesture recognition for human computer interaction : a survey. Artificial Science Business Media Kılıboz, N. Ç., Güdükbay, U. (2015)

Expression recognition method based on a lightweight convolutional neural network
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ABSTRACT Effective emotion recognition algorithms can help machines better understand people and promote the development of human computer interaction applications. In recent years, many research efforts have used

Research through Design Approaches in HumanRobot Interaction
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Page 1. Research through Design Approaches in HumanRobot Interaction Michal Luria mluria@cs.cmu.edu Human Computer Interaction Intitute Carnegie Mellon University Jodi Forlizzi forlizzi@cs.cmu.edu Human Computer Interaction Intitute Carnegie Mellon University

A Design of Smart Beaker Structure and Interaction Paradigm Based on Multimodal Fusion Understanding
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intention of the user. Finally, intelligent navigation and wrong behavior recognition functions are added to the experimental equipment, which improves the efficiency of human computer interaction . The results show that Compared

Fast-D: When Non-Smoothing Color Feature Meets Moving Object Detection in Real-Time
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ABSTRACT The moving object detection refers to the detection of physical moving objects from a video, which is applied in video surveillance, object recognition, object counting, human computer interaction and so on. Moreover

Different Contextual Window Sizes Based RNNs for Multimodal Emotion Detection in Interactive Conversations
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ABSTRACT Multimodal emotion detection (MED) in interactive conversations is extremely important for improving the overall human computer interaction experience. Present research methods in this domain do not explicitly

A Model-Based RF Hand Motion Detection System for Shadowing Scenarios
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I. INTRODUCTION The detection of hand motion plays an important role in various human computer interaction (HCI) applications, such as safety protection , virtual reality , , humanrobot collaboration , and health assistants . The technologies applied to hand

CHCI: A Crowdsourcing Human computer Interaction Framework for Cultural Heritage Knowledge
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This paper aims to extract knowledge including entities and relationships, from multi-source heterogeneous cultural heritage (CH) resources. The proposed crowdsourcing human computer interaction framework utilizes museum-user-algorithm cooperation to achieve high

Terminal Traction Control of Teleoperation Manipulator With Random Jitter Disturbance Based on Active Disturbance Rejection Sliding Mode Control
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an active disturbance rejection sliding mode traction control system to deal with the dramatic change of joint angular acceleration and jitter attributed to non-uniform traction dur- ing terminal traction of the manipulator based on the use of human computer interaction (HCI) device

Combinatorial optimization of graphical user interface designs
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Approaches to practical deployment are outlined with a wide spectrum of applications. This article concludes by discussing the position of this application area within optimiza- tion and human computer interaction research and outlines challenges for future work It is less expensive motion sensor played a key role in human computer interaction 2 No. pp. 1659 167 2015. SS Rautaray, and A. Anupam, Vision based hand gesture recognition for human computer interaction : a survey, Artif. Intell. Rev., Vol. 4 No. pp

Design and Motion Analysis of Adjustable Pneumatic Soft Manipulator for Grasping Objects
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ABSTRACT Soft robots have infinite degrees of freedom (DOFs), extremely strong environmental adapt- ability, and better human computer interaction . A soft grasping manipulator can grasp objects in a diversified manner, which

Learning a 3D Gaze Estimator With Adaptive Weighted Strategy
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ABSTRACT As a method of predicting the targets attention distribution, gaze estimation plays an important role in human computer interaction . In this paper, we learn a 3D gaze estimator with adaptive weighted strategy to get

Tracking of Flexible Brush Tip on Real Canvas: Silhouette-Based and Deep Ensemble Network-Based Approaches
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ABSTRACT Digital painting is a process of creating a digital artwork using modern human computer interaction technologies Digital painting is accomplished by producing a digitized painting artwork using modern human computer interaction (HCI) techniques on a computer

Special issue on situation awareness in intelligent human computer interaction for time critical decision making
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HUMAN COMPUTER INTERACTION (HCI) is an active field that focuses on the various interactions of human with machines. The HCI has been widely applied in multiple domains, such as artificial intelligence, computer vision, image and multimedia analysis, and cognitive Abstract The interaction with the deaf-mute is an important part of human computer interaction easily controlling method, low cost, and the interactivity, has great significance in the field of human computer interaction for deaf people

Human Computer Threats Classification in Intelligent Transportation Systems
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in safety and security of the ITS, that consider mostly threats associated with software and communication protocols, employed in modern cars and road transportation infrastructures (eg, ). We consider human computer interaction for intelligent transportation systems In this paper, we propose a safe and cost-effective solution for wire-free and touch-free human computer interaction [30] SS Rautaray and A. Agrawal, Vision based hand gesture recognition for human computer interaction : A survey, Artificial Intelligence Review, vol. 4 no

Research on Multimodal Perceptual Navigational Virtual and Real Fusion Intelligent Experiment Equipment and Algorithm
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2019GXRC013). ABSTRACT Virtual experiment is an important field of human computer interaction By using multimodal fusion perception algorithm, the users true intentions can be understood and the human computer interaction efficiency can be improved