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55 articles for “Human– Machine Interaction”
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Human-Machine Interaction in Advanced Driver Assistant Systems: Design and Evaluation
Abstract: An autonomous vehicle, also known as a self-driving car or self-driving car, is one that is equipped with sensors and cameras to monitor its environment and can operate independently without the need for human intervention. It recognizes objects in the immediate environment, such as people, animals, and barriers, using a combination of cameras and sensors. reducing fuel waste, improving mobility, safety, and customer pleasure, among other things. Cost savings is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Hand Gesture Control Robotic Arm using OpenCV and NodeMCU
Abstract: In this research paper, an innovative method is proposed for controlling a robotic arm through the use of hand gestures, utilizing the advanced features of Node MCU and OpenCV. By bringing together these cutting-edge technologies, the system enables seamless real-time communication and image processing between the user and the robotic arm. The process involves capturing hand gestures through a camera and using the powerful OpenCV library to identify and interpret …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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E-Skin Applications in Healthcare and Robotics: A Study
Abstract: Electronic skin (e-skin) is a transformative technology with the potential to revolutionize the way we interact with our bodies and the world around us. From personalized medicine to advanced robotics, e-skin is paving the way for a future where technology is more integrated, responsive, and attuned to our needs. As research progresses and challenges are overcome, e-skin is poised to become an indispensable tool for improving healthcare and shaping the …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 12–20 Read article
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Unlocking the Potential of Industry 5.0: Increased Productivity, Customization, and Sustainability
Abstract: Building on the tenet of Industry 4.0, Industry 5.0 signifies a paradigm shift in manufacturing and processes in industry while bringing fresh approaches for sustainable production and human-machine interactions. This paper examines the technological drivers, potential benefits, and challenges associated with implementing Industry 5.0 frameworks. Through analysis of current literature and emerging case studies, we explore how advanced technologies such as artificial intelligence, robotics, and the Internet of Things are …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 10–18 Read article
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AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Integrating Human-Centric Principles into Machine Design: Ergonomic and Safety Enhancements in Mechanical Systems
Abstract: The integration of human-centric design (HCD) principles into mechanical systems has become increasingly critical in contemporary machine design. As machines become more complex and operate within high-interaction environments, the need for design strategies that prioritize human safety, usability, and comfort has intensified. This review explores how ergonomic insights, safety standards, and user experience (UX) considerations influence the physical configuration, control mechanisms, and operational safety of mechanical systems across industrial, healthcare, …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 33–37 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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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Virtual Assistant: JarvisAI Using Natural Language Processing
Abstract: This research presents the development of a voice-interactive virtual assistant built upon the JarvisAI framework, integrating advanced technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Speech Recognition. The goal is to enable seamless and intuitive human-computer interaction by allowing users to communicate through natural spoken and written language. The assistant is designed to understand, interpret, and respond to various user commands, aiding in tasks such as information …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 26–39 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Human-Robot Interactions and Social Robotics in Legal, Ethical, and Social Dimensions
Abstract: Human-robot interaction and social robotics have emerged as transformative fields, reshaping human engagement with intelligent machines. This evolution brings profound legal, ethical, and social challenges that demand critical exploration. Also, legal firms often struggle to keep pace with the advancements, raising questions about liability, accountability, and privacy in human-robot interaction. However, social robots, designed to operate in dynamic human environments, present ethical dilemmas around autonomy, trust, and preserving human dignity. …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 09–11 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Impact of AI Tools in Software Engineering: Boon or a Bane
Abstract: Artificial Intelligence (AI) has become a transformative force, revolutionizing diverse sectors by integrating intelligent systems into everyday processes. Natural Language Processing (NLP) plays a crucial role, enabling machines to understand and produce human language, marking a significant advancement in technology. This innovation has various applications, including chatbots, language translation, and sentiment analysis, thereby improving interactions between humans and computers and facilitating information processing. Generative AI, a subset of AI, takes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 14–23 Read article
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The Evolution of Computer Languages: Fundamentals, Paradigms, and Consequences
Abstract: In today’s society, computers are important tools because they let us quickly analyze, store, and share information. A variety of programming languages that let people talk to machines are at the heart of how computers work. These languages, which are divided into low-level and high-level kinds, connect human logic and machine actions. Low-level languages such as machine code and assembly allow direct interaction with computer hardware. In contrast, high-level languages …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 16–28 Read article
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A Role of Ergonomics in Advanced Manufacturing Systems: A Harmonious Blend of Human and Machine
Abstract: The integration of human and machine elements in advanced manufacturing systems (AMS) necessitates a careful consideration of ergonomic principles to ensure the well-being and performance of the workforce. This paper explores the critical role of ergonomics in AMS, focusing on physical, cognitive, and organizational aspects. By optimizing the interaction between humans and technology, ergonomics aims to reduce musculoskeletal disorders, improve worker satisfaction, and enhance overall system efficiency. The paper delves …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article