Gotowe bibliografie tematyczne / Mage Processing; Hand Gesture; Human-Machine Interface

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Gotowa bibliografia na temat „Mage Processing; Hand Gesture; Human-Machine Interface”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Mage Processing; Hand Gesture; Human-Machine Interface"

Priyamvadaa.R, Supriya.G. K. Sai, and Sangappa Mulimani Savita. "WIRELESS CONTROL OF AN AUTOMOBILE USING AIR GESTURES." INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH 5, no. 4 RACEEE (2017): 79–84. https://doi.org/10.5281/zenodo.580628.

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In the present world people with disabilities wish to be independent and thus the dependence on automatic machinery has increased drastically. People with physical disabilities and partial paralysis find it difficult to navigate without the assistance of someone. The system proposed will be a boost to the physically challenged people as it will help them to be self-reliable. Air gesture model is being as a key component to derive the benefit and gesture recognition is one obvious way to create a useful, highly adaptive interface between machines and their users. The gestures of the hand are re

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Harale, A. D., K. J. Karande, Sagar S. Bhumkar, Sanjay T. Gaikwad, and Snehal S. Kumbhar. "Wireless Hand Geture Control Robot with Object Detection." June-July 2023, no. 34 (July 13, 2023): 1–10. http://dx.doi.org/10.55529/jipirs.34.1.10.

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This study uses image processing and Internet of Things (IoT) technology to demonstrate a wireless hand gesture control robot with object identification. Users can remotely operate a robot using hand gestures that are photographed by a camera and analyzed using machine learning algorithms and image processing methods for gesture identification. The system has object detection capabilities as well, allowing the robot to find and recognize items in its environment. In order to allow users to construct their own gestures and instructions, the suggested system is made to be adaptive and versatile.

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Kalipu, Ravi Kumar, Harish Kurmana, Divakar Allaboina, Sanjay Kumar Chilla, Bhavish Lakkavarapu, and Ravi Kumar Nubothu. "Virtual Mouse Using Hand Gestures." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43518.

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The Virtual Mouse using Hand Gesture Recognition is an innovative system that allows users to control a computer cursor through hand gestures instead of a traditional mouse. This project utilizes Python, machine learning, and OpenCV to detect and interpret hand movements in real time. A camera captures gestures, which are processed using computer vision techniques to perform mouse actions such as clicking, scrolling, and cursor movement. Additionally, a zoom-in and zoom-out feature enhances user interaction through specific gestures. This touch-free interface provides an intuitive and hygienic

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Alange, Rutwik. "Hand Gesture Controller." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2540–44. http://dx.doi.org/10.22214/ijraset.2024.59395.

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Abstract: The rapid evolution of human-computer interaction has spurred significant progress in gesture recognition technologies, placing a specific emphasis on diverse applications. This paper highlights key advancements in machine learning algorithms tailored for gesture recognition, including deep learning approaches that have notably improved the accuracy and robustness of hand tracking systems. Furthermore, the integration of hand gesture control into wearable devices and its implications for everyday technology usage are thoroughly examined. This paper relies on the formidable capabiliti

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Deo, Aditi, Aishwarya Wankhede, Rutuja Asawa, and Supriya Lohar. "MEMS Accelerometer Based Hand Gesture-Controlled Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 265–67. http://dx.doi.org/10.22214/ijraset.2022.46158.

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Abstract: Gesture detection has gotten a lot of attention from a lot of different research communities, including humancomputer interaction and image processing. User interface technology has become increasingly significant as the number of human-machine interactions in our daily lives has increased. Gestures as intuitive expressions will substantially simplify the interaction process and allow humans to command computers and machines more intuitively. Robots can now be controlled by a remote control, a mobile phone, or a direct wired connection. When considering cost and required hardware, al

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RAUTARAY, SIDDHARTH S., and ANUPAM AGRAWAL. "VISION-BASED APPLICATION-ADAPTIVE HAND GESTURE RECOGNITION SYSTEM." International Journal of Information Acquisition 09, no. 01 (2013): 1350007. http://dx.doi.org/10.1142/s0219878913500071.

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With the increasing role of computing devices, facilitating natural human computer interaction (HCI) will have a positive impact on their usage and acceptance as a whole. For long time, research on HCI has been restricted to techniques based on the use of keyboard, mouse, etc. Recently, this paradigm has changed. Techniques such as vision, sound, speech recognition allow for much richer form of interaction between the user and machine. The emphasis is to provide a natural form of interface for interaction. Gestures are one of the natural forms of interaction between humans. As gesture commands

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Carvalho, Vítor Hugo, and José Eusébio. "Virtual Interface With Kinect 3D Sensor for Interaction With Bedridden People." International Journal of Healthcare Information Systems and Informatics 16, no. 4 (2021): 1–16. http://dx.doi.org/10.4018/ijhisi.294114.

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The human-machine interaction has evolved significantly in the last years, allowing a new range of opportunities for developing solutions for people with physical limitations. Natural user interfaces (NUI) allow bedridden and/or physically disabled people to perform a set of actions trough gestures thus increasing their quality of life and autonomy. This paper presents a solution based on image processing and computer vision using the Kinect 3D sensor for development of applications that recognize gestures made by the human hand. The gestures are then identified by a software application that

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Savić, Srđan, Dunja Pavlović, and Andrej Čilag. "Surface electromyography-based gesture recognition for robot hand control." Journal of Computer and Forensic Sciences 3, no. 2 (2024): 3–27. https://doi.org/10.5937/jcfs3-54725.

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This paper presents a human-machine interaction interface for the teleoperated control of a three-finger robot hand based on surface electromyography. Based on the recorded sEMG signals, motion intention of a human operator is recognized and mapped onto corresponding predefined robot hand grasps. First, the experimental setup and underlying methodology of dataset generation are presented. Namely, 4-channel EMG data were collected from the forearm muscles of 4 healthy subjects as they performed a sequence of predefined grasps. Data processing included data filtering and segmentation, feature ex

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Kalpesh Pimple, Sania. "S.I.G.N. - Sign Interpretation and Gesture Navigation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44476.

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The S.I.G.N (Sign Interpretation using Gesture Navigation) project addresses the communication gap between sign language users and non-users, especially in sectors like education, healthcare, and public services.The project places a strong emphasis on Indian Sign Language (ISL) to cater to the communication needs of the hearing-impaired community in India. By tailoring recognition models and sign databases to ISL, the system ensures higher relevance, usability, and cultural alignment for Indian users. It utilizes machine learning, computer vision, and natural language processing (NLP) to trans

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Ardianti, Cici, Azhar Al Havis, and Munawir Munawir. "Finger Tracker Untuk Penerjemahan Bahasa Isyarat Angka 1-10 Untuk Tunawicara Menggunakan Webcam Dengan Metode Centroid." Jurnal SIFO Mikroskil 19, no. 2 (2018): 49–56. http://dx.doi.org/10.55601/jsm.v19i2.595.

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Visual sensing or machine vision is a process of image data manipulation. The data can be used to interpret many things, one of which is the introduction of gesture. Gesture recognition is an interface that can recognize the gestures of a human being and translate these movements as instructions that can be understood by a computer. Gesture recognition can be used to translate sign language into speech people. This is because there are many people who do not understand the language of the hands of the speechless. So, people with disabilities have difficulty interacting in society. In this fina

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Części książek na temat "Mage Processing; Hand Gesture; Human-Machine Interface"

Bourguet, Marie-Luce. "An Overview of Multimodal Interaction Techniques and Applications." In Human Computer Interaction. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-87828-991-9.ch008.

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Desktop multimedia (multimedia personal computers) dates from the early 1970s. At that time, the enabling force behind multimedia was the emergence of the new digital technologies in the form of digital text, sound, animation, photography, and, more recently, video. Nowadays, multimedia systems mostly are concerned with the compression and transmission of data over networks, large capacity and miniaturized storage devices, and quality of services; however, what fundamentally characterizes a multimedia application is that it does not understand the data (sound, graphics, video, etc.) that it ma

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Bourguet, Marie-Luce. "An Overview of Multimodal Interaction Techniques and Applications." In Encyclopedia of Human Computer Interaction. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-562-7.ch068.

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Ramasamy, Prema, Shri Tharanyaa Jothimani Palanivelu, and Abin Sathesan. "Certain Applications of LabVIEW in the Field of Electronics and Communication." In LabVIEW - A Flexible Environment for Modeling and Daily Laboratory Use. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96301.

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The LabVIEW platform with graphical programming environment, will help to integrate the human machine interface controller with the software like MATLAB, Python etc. This platform plays the vital role in many pioneering areas like speech signal processing, bio medical signals like Electrocardiogram (ECG) and Electroencephalogram (EEG) processing, fault analysis in analog electronic circuits, Cognitive Radio(CR), Software Defined Radio (SDR), flexible and wearable electronics. Nowadays most engineering colleges redesign their laboratory curricula for the students to enhance the potential inclus

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