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146 articles for “human–computer interaction”
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Facial Expression Recognition Using Convolutional Neural Network
Abstract: The recognition of facial expression is a key step in nonverbal human communication in the field of computer vision. The Facial Expression Recognition (FER) system reflects emotions as well as mental activities, social interaction with people and expressing positive or negative attitude in general. It has many applications like human machine interaction, understanding human behavior and emotions, mental state identification, drowsiness detection for driving safety and health care. One of …
Published in Journal of Open Source Developments · Vol. 6, Issue 1, 2019 · pp. 18–27 Read article
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Designing of Web Based User Interface: A Review
Abstract: “User Interface” is also known by its infamous form (short) as “UI”. The user interface represents the layout of an application in graphics layer. The user interface includes the items with which the user can interact with, for example, clickable buttons, readable text, text entry fields, images, etc. These interactions include screen layouts, grids, transitions, animations, thus ranging from macro to micro interactions. They include both input and output devices …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 1, 2022 · pp. 19–27 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 3, 2023 · pp. 10–27 Read article
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Hand Gesture Recognition
Abstract: The purpose of hand gesture is to provide attractive alternative to slow and complex inefficient device for human machine interaction. The interpretation of hand signs can help in easy naturalness in human machine interaction. Hand Gesture recognition will also provide with easy user-friendly interaction with the computer [1]. Hand gesture recognition is used for various purposes e.g. for driving a vehicle we can use hand gesture, new game technology and …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 22–25 Read article
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Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Sensible Machine ELMAN Network Neural System Using Brain Computing Interfaces
Abstract: Man–machine interface has been one of the growing fields of research and development in recent years. Most of the effort has been dedicated to the design of user-friendly or ergonomic systems by means of innovative interfaces such as voice recognition, virtual reality. A direct brain–computer interface (BCI) would add a new dimension to man–machine interaction. A brain–computer interface, sometimes called a direct neural interface or a brain machine interface, is …
Published in Journal of Open Source Developments · Vol. 3, Issue 1, 2016 · pp. 19–30 Read article
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Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
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AirDraw: Gesture-Driven Sketching for Immersive Design Interfaces
Abstract: AirDraw represents a transformative advancement in artificial intelligence, creating fluid touch-free human-computer interfaces through real-time interpretation of hand gestures as precise design control signals. This paper introduces AirDraw—a revolutionary webcam-powered virtual canvas that redefines creative workflows and educational interactions. Particularly valuable for design students prototyping ideas, senior creators exploring digital art, and users with motor impairments who find traditional peripherals challenging, AirDraw delivers truly inclusive technology access. Unlike conventional gesture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 32–41 Read article
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Medical Science in the Digital Era: A Comprehensive Study on Computing in Healthcare
Abstract: Adding computers to medical science has changed how healthcare is delivered, how research is done, and how well patients do. This article talks about the many ways that computer technology is used in modern medicine, such as for diagnostic imaging, electronic health records (EHRs), telemedicine, surgical robotics, and research that is based on data. Improvements in artificial intelligence (AI) and machine learning have made it possible to make more accurate …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 Read article
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ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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Efficient Identification of Complex Diseases Through Epistasis Computational Models: A Review
Abstract: AbstractGenome-Wide Association Studies (GWAS) identify and characterize the genes that are associated with human diseases. One of the significant ongoing researches in GWAS is to identify the disease susceptible genes through Epistasis. The gene that masks the effects of other genes is called Epistasis. The gene interacts with another gene is known as epistatic or genetic interactions (GGIs). GWAS identifies the genetic variants of Single Nucleotide Polymorphism and also the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 2, 2020 · pp. 21–32 Read article
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Real-Time Composition: Its Applications and Educational Potential
Abstract: In this paper, the notion of Real-Time Composition (RTC) is discussed as a practice that has emerged and being consolidated with the increasing use of computationally controllable real-time generative music algorithms. RTC was developed through the use of interactive music systems and is nowadays more or less ubiquitous. The principle of RTC can be also be employed in a performance involving just humans, and parallels between RTC and musical practices …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 33–40 Read article
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Study on Neuralink Chip: Brain–Computer Interface
Abstract: Neuralink, established by Elon Musk in 2016, is a neurotechnology firm focused on creating advanced brain-machine interfaces (BMIs) with enhanced data transfer capabilities. These interfaces aim to enable individuals to communicate more effectively and gain a deeper understanding of interactions with computers and other devices. One of the company's best experiences is the development of a new implantable device called the Neuralink chip. The Neuralink chip is a small device …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 43–48 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Human Following Robot Using Arduino Uno
Abstract: A human-following robot is a mobile autonomous system designed to detect, track, and follow a specific individual in real-time while navigating through dynamic environments. This feature is essential for various applications, including delivery services, healthcare assistance, personal support, and collaborative industrial operations. It enhances efficiency, safety, and user experience by enabling intelligent and responsive interactions, making it an asset in both commercial and personal environments. The robot integrates cameras, LiDAR, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 26–31 Read article
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Haptic Technology: A Comprehensive Review of its Applications and Future Prospects
Abstract: Computer science finds a variety of applications in different fields. In the modern scenario, the combination of human senses with field of computer science is becoming more and more common. A detailed study of haptic technology is described in this paper, which is entirely related to touch. The complete potential of the field is yet to be explored. The science of applying touch sensation and control to interact with computer …
Published in Current Trends in Information Technology · Vol. 6, Issue 2, 2016 · pp. 14–21 Read article
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Molecular Docking-Based Analysis of Rauvolfia serpentina Alkaloids Targeting HPV E1 and L1 Proteins for Antiviral Therapeutic Potential
Abstract: Human papillomavirus (HPV) is a major cause of cervical cancer and other epithelial cancers. E1 and L1 proteins are crucial to the virus's lifespan. E1 is a viral helicase that is needed for HPV DNA replication, and L1 is the main structural capsid protein that builds the virion and infects target cells. Going after these proteins is a good way to stop viruses from spreading. In this case, Rauvolfia serpentina, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 100–113 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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Deep Learning Applications: An Overview
Abstract: It is essential that the data be handled with accuracy, and certain exercises are carried out so that the computers can think and act on their own, which is where the advanced time of Deep Learning comes in. A computer needs access to earlier information and interactions in order to think. The use of Deep Learning in diverse geographies will be discussed in this study. Many experiments have been conducted …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 2, 2022 · pp. 8–15 Read article