human-computer interaction
16 articles · search the full text for this term
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Engineering the Mind: A Multidisciplinary Framework for Digital Well-Being
Abstract: Digital technologies now mediate most domains of human activity, yet the engineering disciplines that build these systems have historically treated user well-being as a secondary usability concern rather than a design objective. This paper presents a multidisciplinary review and conceptual synthesis of digital well-being, integrating human-computer interaction, cognitive and motivational psychology, software engineering, and technology law. The objective is to consolidate fragmented, single-disciplined accounts of digital well-being into one coherent …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 · pp. 58–68 Read article
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Crowdsourced Real-Time Response with AR Assistance
Abstract: The rapid growth of digital technologies has significantly transformed the way people interact with both virtual systems and the physical world. Among these technologies, crowdsourcing and augmented reality (AR) have emerged as two powerful innovations that are reshaping real-time information sharing, decision-making, and user experiences. Crowdsourcing enables organizations and systems to collect valuable data from a large number of users, while AR enhances the user's perception by overlaying digital information …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 34–40 Read article
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Evaluating the Usability and Effectiveness of Desktop Voice Assistants on Windows Operating Systems
Abstract: This paper presents an in-depth empirical study of usability and effectiveness regarding using desktop voice assistants (DVA) within the Windows operating system platform. While much research has been done on mobile-based assistants like Siri and Google Assistant, or smart speaker platforms like Amazon Alexa, desktop-based assistants remain comparatively underexplored. A total of 176 participants were surveyed to analyze their experiences with DVA in usability, multitasking, accuracy, accessibility, and overall satisfaction. …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 29–42 Read article
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An Efficient Vision-Based Algorithm for Hand Pose Estimation and Cursor Control
Abstract: Conventional input devices like the keyboard and mouse are no longer necessary because gestures are becoming more popular as the most natural way to interact with computers. This project has demonstrated a novel real-time system that lets users control their computer cursors using simple hand gestures. The system facilitates an easy operation for us in terms of the use of a cursor by using techniques and hand mark detections. The …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 24–35 Read article
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Generic Virtual Mouse
Abstract: The mouse and keyboard have been replaced by new input mechanisms brought about by the quick development of Human-Computer Interaction (HCI). Using computer vision and deep learning techniques, this study explores the possibility of replacing actual mouse inputs in a computer system with hand gestures. We created a virtual mouse system that uses a normal webcam to record hand motions. Computer vision algorithms then process these gestures to handle mouse …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
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Revolutionary Cursor Control Systems: Enhancing Human-Computer Interaction
Abstract: This project delves into leveraging artificial intelligence within virtual mouse systems to elevate human-computer interaction. The main objective is to improve user experience, increase efficiency, and introduce new ways of interaction. Employing artificial intelligence techniques such as computer vision, gesture recognition and speech recognition, the virtual mouse system adeptly tracks hand movements, interprets voice commands, recognizes gestures, and processes user inputs for seamless interactions. Tailoring features for design, gaming, accessibility, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 45–52 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Gesture-Based Virtual HCI: Enhancing Computer Interaction
Abstract: In a time when human-computer interaction (HCI) is changing quickly, generating user-friendly interfaces is essential. This paper presents a new technique to HCI using virtual mouse and keyboard systems based on gesture recognition. This system replaces classical input devices by permitting users to control their computers with hand gestures using computer vision techniques. We created an optical mouse and keyboard technique that can recognize hand gestures recorded by a regular …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Develop Institutional Chatbot Using Deep Neural Networks and NLTK
Abstract: Chatbots are intelligent software that can communicate and perform actions like those of a customer service representative. Chatbots are widely used for customer interaction and marketing on social networking and e-commerce sites. AI-based chatbots have the core ability to learn from any question based on initial training on a predefined dataset. A web-based platform provides a broad intelligent foundation for simulating human problem solving. The technology used here is based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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Vision Based Gesture Recognition Techniques: A Review
Abstract: With the ever-growing use of computers in the society, it is clearly seen that present popular mode of interactions with computers is mouse and keyboard. Mouse and keyboard will become an inconvenient way to convey information to the computers. Nowadays there are intelligent systems in which the flow of information takes place without any physical contact. The vision based (camera) gesture recognition has the potential to be a natural and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Color Based Human Computer Interface
Abstract: The use of colored finger tips provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of colored finger tips can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. We survey the literature on visual interpretation of colored finger tips in the context of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 27–32 Read article
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Sixth Sense Device
Abstract: Normal 0 false false false EN-US X-NONE MR Development of user interfaces influences the changes in the human-computer interaction (HCI). Despite tremendous development in input devices, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt computers to our natural means of communication: speech and body language. Human hand gestures have been a mode of nonverbal interaction widely used. Naturalistic and intuitiveness of …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 26–31 Read article