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Artykuły w czasopismach na temat „Gesture-based tool”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Bomsdorf, Birgit, Rainer Blum, and Daniel Künkel. "Towards ProGesture, a Tool Supporting Early Prototyping of 3D-Gesture Interaction." International Journal of People-Oriented Programming 4, no. 2 (2015): 54–70. http://dx.doi.org/10.4018/ijpop.2015070103.

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Development of gesture interaction requires a combination of three design matters: gesture, presentation, and dialog. However, in current work on rapid prototyping the focus is on gestures taking into account only the presentation. Model-based development incorporating gestures, in contrast, supports the gesture and dialog dimensions. The work on ProGesture aims at a rapid prototyping tool supporting a coherent development within the whole gesture-presentation-dialog design space. In this contribution, a first version of ProGesture is introduced. Here, gestures are specified by demonstrating t

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Wachs, J. P., H. I. Stern, Y. Edan, et al. "A Gesture-based Tool for Sterile Browsing of Radiology Images." Journal of the American Medical Informatics Association 15, no. 3 (2008): 321–23. http://dx.doi.org/10.1197/jamia.m241.

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Wachs, J. P., H. I. Stern, Y. Edan, et al. "A Gesture-based Tool for Sterile Browsing of Radiology Images." Journal of the American Medical Informatics Association 15, no. 3 (2008): 321–23. http://dx.doi.org/10.1197/jamia.m2410.

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Vázquez, J. Emmanuel, Manuel Martin-Ortiz, Ivan Olmos-Pineda, and Arturo Olvera-Lopez. "Wheelchair Control Based on Facial Gesture Recognition." International Journal of Information Technologies and Systems Approach 12, no. 2 (2019): 104–22. http://dx.doi.org/10.4018/ijitsa.2019070106.

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In this article, an approach for controlling a wheelchair using gestures from the user's face is presented, particularly some commands for the basic control operations required for driving a wheelchair are recognized. In order to recognize the face gestures an Artificial Neural Network which is trained since it is one of the most successful classifiers in Pattern Recognition. In particular, the authors' proposed method is useful for controlling a wheelchair when the user has restricted (or zero) mobility in some parts of the body such as: legs, arms or hands. According to their experimental re

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Weng Chou, Ka, Albert Quek, and Hui Hong Yew. "Onmyouji: Gesture-based virtual reality game." International Journal of Engineering & Technology 7, no. 2.14 (2018): 110. http://dx.doi.org/10.14419/ijet.v7i2.14.11465.

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With the emergence of Virtual Reality (VR), user’s senses are taken into consideration in achieving a natural and intuitive human-computer interaction (HCI) as well for a more effective data interaction. The conventional keyboard and mouse interface and control methods of VR no longer sufficiently handles the richness of the information and facilitate intuitive user interaction in the virtual environment. There are alternative controllers such as motion controller used in the game, but this burden users for having them to hold a controller during gameplay. Hand gestures are a powerful tool for

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Macedonia, Manuela. "Your Body as a Tool to Learn Second Language Vocabulary." Behavioral Sciences 15, no. 8 (2025): 997. https://doi.org/10.3390/bs15080997.

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Vocabulary acquisition is a fundamental challenge in second language (L2) learning. Recent research highlights the benefits of using gestures to enhance vocabulary retention. This comprehensive review explores the theoretical, empirical, and neuroscientific foundations of gesture-enhanced learning. Findings show that the human body, specifically sensorimotor engagement, can be harnessed as an effective cognitive tool to support long-term word learning. This paper examines the limitations of traditional vocabulary learning methods, introduces embodied cognition as a theoretical framework, prese

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Tran, Dinh-Son, Ngoc-Huynh Ho, Hyung-Jeong Yang, Eu-Tteum Baek, Soo-Hyung Kim, and Gueesang Lee. "Real-Time Hand Gesture Spotting and Recognition Using RGB-D Camera and 3D Convolutional Neural Network." Applied Sciences 10, no. 2 (2020): 722. http://dx.doi.org/10.3390/app10020722.

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Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations. Gesture-based interfaces are used in many applications in a variety of fields, such as smartphones, televisions (TVs), video gaming, and so on. With advancements in technology, hand gesture recognition is becoming an increasingly promising and attractive technique in human–computer interaction. In this paper, we propose a novel method for fingertip detection and hand gesture recognition in real-time using an RGB-D camera and a 3D co

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Arkenbout, E. A., J. C. F. de Winter, A. Ali, J. Dankelman, and P. Breedveld. "A gesture-based design tool: Assessing 2DOF vs. 4DOF steerable instrument control." PLOS ONE 13, no. 7 (2018): e0199367. http://dx.doi.org/10.1371/journal.pone.0199367.

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Arroyave-Tobón, Santiago, and Gilberto Osorio-Gómez. "Ergonomic analysis in conceptual design stage using a gesture-based modelling tool." International Journal on Interactive Design and Manufacturing (IJIDeM) 11, no. 3 (2015): 481–88. http://dx.doi.org/10.1007/s12008-015-0289-9.

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Benitez-Garcia, Gibran, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, and Hiroki Takahashi. "IPN HandS: Efficient Annotation Tool and Dataset for Skeleton-Based Hand Gesture Recognition." Applied Sciences 15, no. 11 (2025): 6321. https://doi.org/10.3390/app15116321.

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Hand gesture recognition (HGR) heavily relies on high-quality annotated datasets. However, annotating hand landmarks in video sequences is a time-intensive challenge. In this work, we introduce IPN HandS, an enhanced version of our IPN Hand dataset, which now includes approximately 700,000 hand skeleton annotations and corrected gesture boundaries. To generate these annotations efficiently, we propose a novel annotation tool that combines automatic detection, inter-frame interpolation, copy–paste capabilities, and manual refinement. This tool significantly reduces annotation time from 70 min t

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Maashi, Mashael, Mohammed Abdullah Al-Hagery, Mohammed Rizwanullah, and Azza Elneil Osman. "Deep convolutional neural network-based Leveraging Lion Swarm Optimizer for gesture recognition and classification." AIMS Mathematics 9, no. 4 (2024): 9380–93. http://dx.doi.org/10.3934/math.2024457.

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<abstract> <p>Vision-based human gesture detection is the task of forecasting a gesture, namely clapping or sign language gestures, or waving hello, utilizing various video frames. One of the attractive features of gesture detection is that it makes it possible for humans to interact with devices and computers without the necessity for an external input tool like a remote control or a mouse. Gesture detection from videos has various applications, like robot learning, control of consumer electronics computer games, and mechanical systems. This study leverages the Lion Swarm optimize

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Aaron, Sunu A. George, Sabu Basil, Jose Bonia, George Ashin, and C. P. Premchand. "GestureMath: Free - Form Math Solver." Journal of Advancement in Parallel Computing 8, no. 3 (2025): 1–10. https://doi.org/10.5281/zenodo.15517219.

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<em>An innovative mathematical tool leveraging gesture-based interaction redefines how calculations are performed, moving away from traditional input methods like keyboards or touchscreens. A cutting-edge system enables users to perform tasks such as writing mathematical expressions, pausing input, clearing the workspace and computing results using intuitive hand gestures. Unlike standard calculators or software that rely on rigid syntax or button-based inputs, this tool offers a more flexible, engaging and inclusive experience. It supports free-form handwriting and accommodates the diverse ne

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Congdon, Eliza L., and Susan C. Levine. "Unlocking the Power of Gesture: Using Movement-Based Instruction to Improve First Grade Children’s Spatial Unit Misconceptions." Journal of Intelligence 11, no. 10 (2023): 200. http://dx.doi.org/10.3390/jintelligence11100200.

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Gestures are hand movements that are produced simultaneously with spoken language and can supplement it by representing semantic information, emphasizing important points, or showing spatial locations and relations. Gestures’ specific features make them a promising tool to improve spatial thinking. Yet, there is recent work showing that not all learners benefit equally from gesture instruction and that this may be driven, in part, by children’s difficulty understanding what an instructor’s gesture is intended to represent. The current study directly compares instruction with gestures to instru

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Li, Huailiang, Xianguo Tuo, Tong Shen, Mark Julian Henderson, and Jérémie Courtois. "A rapid seismic data calibration technique using integrated micro-electro-mechanical system inertial sensor groups for a 3C vertical seismic profile." GEOPHYSICS 82, no. 6 (2017): P109—P118. http://dx.doi.org/10.1190/geo2016-0218.1.

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Calibration of 3C vertical seismic profile (VSP) data is an exciting challenge because the orientation of the tool is random when only seismic data are considered. We have augmented the sensor package on the VSP tool with micro-electro-mechanical system (MEMS) inertial sensors and applied a gesture measuring method to determine the tool orientation and calibration. This technique can quickly produce high precision, orientation, and angle information when integrated with the seismometer. The augmented sensor package consists of a low-cost triaxial MEMS gyroscope, an electronic compass, and an a

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Vijay Joseph, Arockia, Akshat Mathur, Jatin Verma, and Ankita Singh. "Gesture based wireless control for a robotic manipulator." International Journal of Engineering & Technology 7, no. 2.31 (2018): 231. http://dx.doi.org/10.14419/ijet.v7i2.31.13449.

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This project plays a very important role to complement the industrial and automation field. Nowadays, robots are used in several fields of engineering and manufacturing and the systems for controlling or actuating them have also enhanced from the past. The use of gestures for controlling them has been the new trend to control the movement of robotic manipulators. The various methodologies for controlling them are motion tracking, image processing and by using Kinect sensors. All these methods can be used as a teach pendant where one can provide the movement of the manipulator as a preset and t

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Padmasari, Ayung Candra, Yona Wahyuningsih, and Deti Rostika. "Design of Digital Map based on Hand Gesture as a Preservation of West Java History Sites for Elementary School." Letters in Information Technology Education (LITE) 2, no. 2 (2019): 23. http://dx.doi.org/10.17977/um010v2i22019p023.

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Social science study of historical content at present does not seem to be directly proportional to the development of the industrial revolution 4.0. it is because of rote learning styles, text-based, teacher-centered teaching methods without technologicalaided modifications. With these problems, it is necessary to have design innovations and media for learning models, one of them is to design a hand gesture-based map equipped with a leap motion controller. This study aims to design a digital hand gesture-based map design as the preservation of West Java historical sites for elementary school c

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Ruta, Michele, Floriano Scioscia, Maria Di Summa, Saverio Ieva, Eugenio Di Sciascio, and Marco Sacco. "Semantic Matchmaking for Kinect-Based Posture and Gesture Recognition." International Journal of Semantic Computing 08, no. 04 (2014): 491–514. http://dx.doi.org/10.1142/s1793351x14400169.

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Innovative analysis methods applied to data extracted by off-the-shelf peripherals can provide useful results in activity recognition without requiring large computational resources. In this paper a framework is proposed for automated posture and gesture recognition, exploiting depth data provided by a commercial tracking device. The detection problem is handled as a semantic-based resource discovery. A general data model and the corresponding ontology provide the formal underpinning for posture and gesture annotation via standard Semantic Web languages. Hence, a logic-based matchmaking, explo

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Zheng, Keyang, and Rosta Farzan. "Understanding Player’s Gesture-Based Communicative Behavior in MOBA Games." Proceedings of the ACM on Human-Computer Interaction 7, CHI PLAY (2023): 1068–90. http://dx.doi.org/10.1145/3611061.

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Prior research has shown that gesture-based communication plays an integral role in online multiplayer games, especially for teams consisting of strangers with no prior common experiences. What motivates a particular form of in-game communication and its impact, especially promptly after a communication attempt, on team performance is less explored. In this paper, we present a framework for studying individual communication attempts using a gestured-based tool, "Ping", in a popular MOBA game, Heroes of the Storm. We design a framework to capture the game's situational context prior to the comm

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Fogliata, Arianna, Roberto Borghini, and Antinea Ambretti. "Study on the performative effects of cause-based vs effect-based teaching in adolescent athletes." Scientific Journal of Sport and Performance 2, no. 2 (2023): 247–55. http://dx.doi.org/10.55860/lahu8849.

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Purpose Understanding how humans generate movement is a fundamental goal due to its implications. The authors based their study on the methodological applications in sports of the Synchrony Theory. (DeBernardi, 2008; in press Fogliata et al., 2023) In paradigm, the perceived movement corresponds to an Effect-Movement. The motor teaching of a gesture based on the Effect can be defined as Effect-based Teaching (EbT). Motor teaching based on the visible movement of a gesture can be defined as Effect-based Teaching (EbT). While teaching based on what caused the gesture can be called Cause-based Te

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Ande, Kiran. "AIR-CANVAS: A Computer Vision Based Gesture Drawing System." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 1893–98. https://doi.org/10.22214/ijraset.2025.70602.

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Abstract: The Air Canvas Project is an innovative computer vision application developed using OpenCV and Python, which enables users to draw in the air using simple hand gestures tracked via a webcam. By utilizing a coloured marker—typically placed at the tip of a finger—the system captures the motion of the marker in real time and renders corresponding strokes on a virtual canvas. The project leverages key techniques in computer vision, including colour detection in HSV colour space, contour tracking, and morphological operations like erosion and dilation to enhance accuracy and reduce noise.

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Szykman, Alexandre Greluk, André Luiz Brandão, and João Paulo Gois. "Development of a Gesture-Based Game Applying Participatory Design to Reflect Values of Manual Wheelchair Users." International Journal of Computer Games Technology 2018 (September 6, 2018): 1–19. http://dx.doi.org/10.1155/2018/2607618.

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Wheelchair users have been benefited from Natural User Interface (NUI) games because gesture-based applications can help motor disabled people. Previous work showed that considering values and the social context of these users improve game enjoyment. However, the literature lacks on studies that address games as a tool to approach personal values of people with physical disabilities. Participatory design encompasses techniques that allow absorbing and reflecting values of users into technologies. We developed a gesture-based game using participatory design addressing values of wheelchair users

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YOUSEFI, SHAHROUZ, FARID ABEDAN KONDORI, and HAIBO LI. "CAMERA-BASED GESTURE TRACKING FOR 3D INTERACTION BEHIND MOBILE DEVICES." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 08 (2012): 1260008. http://dx.doi.org/10.1142/s0218001412600087.

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Number of mobile devices such as Smartphones or Tablet PCs has been dramatically increased over the recent years. New mobile devices are equipped with integrated cameras and large displays that make the interaction with the device easier and more efficient. Although most of the previous works on interaction between humans and mobile devices are based on 2D touch-screen displays, camera-based interaction opens a new way to manipulate in 3D space behind the device in the camera's field of view. In this paper, our gestural interaction relies on particular patterns from local orientation of the im

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KAVIYA,, D. "Open CV Based Hand Gesture Recognition for Virtual Keyboard Control System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42134.

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In the evolving landscape of computer technology, the interaction between humans and machines has undergone significant transformation, particularly emphasizing inclusivity and accessibility for individuals with disabilities. This project introduces a hand gesture recognition system designed to enable disabled individuals to interact with computers effortlessly, replacing traditional hardware like keyboards . Leveraging advanced technologies such as OpenCV, MediaPipe, and Python, the system allows users to control a virtual keyboard through intuitive hand gestures. By using a camera to track a

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S M, Dikshith. "AirCanvas using OpenCV and MediaPipe." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 14671–1473. https://doi.org/10.22214/ijraset.2025.66601.

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Human-Computer Interaction (HCI) has undergone significant transformations with the advent of Artificial Intelligence (AI) and Machine Learning (ML), enhancing the ways in which users engage with computing systems. This paper introduces AirCanvas, a novel hands-free digital interaction tool that leverages air gestures for intuitive and seamless computer control. The system uses advanced image processing techniques, specifically OpenCV for visual data analysis and MediaPipe for accurate hand gesture recognition, enabling users to manipulate virtual environments without physical touch. By integr

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Ha, Sang-Ho, So-Young Park, Hye-Soo Hong, and Nam-Hun Kim. "Study on Gesture and Voice-based Interaction in Perspective of a Presentation Support Tool." Journal of the Ergonomics Society of Korea 31, no. 4 (2012): 593–99. http://dx.doi.org/10.5143/jesk.2012.31.4.593.

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Huang, Junkai. "A Review on Deep Learning Based Sign Language Recognition Translation." International Journal of Computer Science and Information Technology 4, no. 1 (2024): 30–36. http://dx.doi.org/10.62051/ijcsit.v4n1.04.

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Hand posture is often referred to as gesture. It refers to the specific movements and postures that occur when a person utilizes his or her arms. It is one of the earliest and still widely used communication tools. In general, gestures are both dynamic and static. In the process of long-term social practice, gestures are given a variety of specific meanings, has a rich expressive power, the range of motion is extensive when the fingers, wrists, elbows, shoulders, and other joints of the hand are considered. The capacity for flexibility is considerable. Gestures have become a primary means of e

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Akbar, Firman Aulia, Mega Tri Kurnia, and Frencis Matheos Sarimole. "Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino." Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) 1, no. 3 (2023): 221–26. http://dx.doi.org/10.59039/sikomtia.v1i3.22.

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In the era of rapidly developing technology, the integration between body and technology becomes real, especially in the development of human and computer interaction. This research focuses on creating prototypes of motion imaging tools using microcontroller technology, responding to the need for more intuitive interactive tools in translating human movements. Using hardware and software engineering approaches, this study designed and tested a tool consisting of Gyrometer and Flex sensors. The gyrometer measures the orientation of motion, while the Flex sensor detects the curvature of the gest

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A.R., Manikandan. "Hand Gesture Recognition for Home Automation using Machine Learning and ESP8266 Server." International Journal of Innovative Research in Information Security 10, no. 03 (2024): 273–77. http://dx.doi.org/10.26562/ijiris.2024.v1003.28.

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Automation is an evolving field providing immense aid in various fields. Types of automation include Artificial Intelligence, home automation, industrial automation, etc. Smart gesture based automation systems provides application in home automation which can support disabled and elderly persons. Home automation is the use and control of home appliances remotely or automatically. Every day the gap between humans and machines is being reduced. Recently introduced Metaverse and video game consoles like Play Stations gives us the insight of how the future of communication between human and comput

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Alnaim, Norah, Maysam Abbod, and Rafiq Swash. "Recognition of Holoscopic 3D Video Hand Gesture Using Convolutional Neural Networks." Technologies 8, no. 2 (2020): 19. http://dx.doi.org/10.3390/technologies8020019.

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The convolutional neural network (CNN) algorithm is one of the efficient techniques to recognize hand gestures. In human–computer interaction, a human gesture is a non-verbal communication mode, as users communicate with a computer via input devices. In this article, 3D micro hand gesture recognition disparity experiments are proposed using CNN. This study includes twelve 3D micro hand motions recorded for three different subjects. The system is validated by an experiment that is implemented on twenty different subjects of different ages. The results are analysed and evaluated based on executi

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Sudha M R, Sriraghav K, Sudar Abisheck S, Shomona Gracia Jacob, and Manisha S. "Approaches and Applications of Virtual Reality and Gesture Recognition." International Journal of Ambient Computing and Intelligence 8, no. 4 (2017): 1–18. http://dx.doi.org/10.4018/ijaci.2017100101.

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Interaction with a computer has been the center of innovation ever since the advent of input devices. From simple punch cards to keyboards, there are number of novel ways of interaction with computers which influence the user experience. Communicating using gestures is perhaps one of the most natural ways of interaction. Gesture recognition as a tool for interpreting signs constitutes a pivotal area in gesture recognition research where accuracy of the algorithm and the ease of usability determine the effectiveness of the algorithm or system. Introducing gesture based interaction in Virtual re

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Soukaina, Chraa Mesbahi, Masrour Mohammed, and Rhazzaf Mohamed. "Geometric Feature-Based Machine Learning for Efficient Hand Sign Gesture Recognition." Statistics, Optimization & Information Computing 13, no. 5 (2025): 2027–43. https://doi.org/10.19139/soic-2310-5070-2306.

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Hand Gesture Recognition (HGR) is emerging as a vital tool in enhancing communication, particularly for individuals who are deaf or hard of hearing. Despite its potential, widespread use of sign language remains constrained by limited understanding among the general public. Previous research has explored various models to bridge this communication gap. However, deploying complex deep learning algorithms on low-power, cost-effective embedded devices presents significant challenges due to constraints on memory and energy resources. In this research, we introduce a new approach by leveraging ligh

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Alvarez-Lopez, Fernando, Marcelo Fabián Maina, and Francesc Saigí-Rubió. "Use of a Low-Cost Portable 3D Virtual Reality Gesture-Mediated Simulator for Training and Learning Basic Psychomotor Skills in Minimally Invasive Surgery: Development and Content Validity Study." Journal of Medical Internet Research 22, no. 7 (2020): e17491. http://dx.doi.org/10.2196/17491.

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Background Simulation in virtual environments has become a new paradigm for surgeon training in minimally invasive surgery (MIS). However, this technology is expensive and difficult to access. Objective This study aims first to describe the development of a new gesture-based simulator for learning skills in MIS and, second, to establish its fidelity to the criterion and sources of content-related validity evidence. Methods For the development of the gesture-mediated simulator for MIS using virtual reality (SIMISGEST-VR), a design-based research (DBR) paradigm was adopted. For the second object

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Parra, Otto, Sergio España, and Oscar Pastor. "GestUI: A Model-driven Method and Tool for Including Gesture-based Interaction in User Interfaces." Complex Systems Informatics and Modeling Quarterly, no. 6 (April 29, 2016): 73–92. http://dx.doi.org/10.7250/csimq.2016-6.05.

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Das, Rupam, and K. B. Shivakumar. "Augmented World: Real Time Gesture Based Image Processing Tool with Intel Real Sense™ Technology." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 1 (2016): 63–84. http://dx.doi.org/10.14257/ijsip.2016.9.1.07.

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Malobický, Branislav, Marián Hruboš, Júlia Kafková, et al. "Towards Seamless Human–Robot Interaction: Integrating Computer Vision for Tool Handover and Gesture-Based Control." Applied Sciences 15, no. 7 (2025): 3575. https://doi.org/10.3390/app15073575.

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This paper presents the development of a robotic workstation that integrates a collaborative robot as an assistant, leveraging advanced computer vision techniques to enhance human–robot interaction. The system employs state-of-the-art computer vision models, YOLOv7 and YOLOv8, for precise tool detection and gesture recognition, enabling the robot to seamlessly interpret operator commands and hand over tools based on gestural cues. The primary objective is to facilitate intuitive, non-verbal control of the robot, improving collaboration between human operators and robots in dynamic work environ

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Pillay, Merwyn. "Tourist Guide Robot." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 3056–60. http://dx.doi.org/10.22214/ijraset.2024.59569.

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Abstract: Recently, robots have entered the Tourist request. However, due to the ocean between inventors and guests, the power train for commercialising the robots has yet to be prepared. therefore, In this study, we provide a tool for u-intelligent tourist robots that allows guests to build robot contents fluently. To accomplish this, our tool has a number of functions. First, the tool is built on a gesture-based control armature for human-robot trade. Second, the programme includes geste orders for convenience. Eventually, robot content is based on marketable multimedia to compete with estab

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Cui, Chengyong, Guojiang Shen, Yu Wang, et al. "Impact of In-Air Gestures on In-Car Task’s Diver Distraction." Electronics 12, no. 7 (2023): 1626. http://dx.doi.org/10.3390/electronics12071626.

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As in-vehicle information systems (IVIS) grow increasingly complex, the demand for innovative artificial intelligence-based interaction methods that enhance cybersecurity becomes more crucial. In-air gestures offer a promising solution due to their intuitiveness and individual uniqueness, potentially improving security in human–computer interactions. However, the impact of in-air gestures on driver distraction during in-vehicle tasks and the scarcity of skeleton-based in-air gesture recognition methods in IVIS remain largely unexplored. To address these challenges, we developed a skeleton-base

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Chithra, Apoorva D.A, Sai Gowtham Busetty, Charishma Konjeti, Krishna Teja Kodandapani, and Sai Chaitanya Kumar Gudipati. ""SMART GLOVE: Sign to Speech Conversion and Home Automation Control for Mute Community"." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 898–902. https://doi.org/10.35940/ijeat.D7676.049420.

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Communication plays a vital role for human beings. This project helps in improving the communication with the dumb people using flex device technology. a tool is developed that may translate totally different signs as well as Indian language to text also as voice format. The people who are communicating with dumb people might not perceive their signs and expressions. Through language, communication is feasible for a deaf-mute person without the means of acoustic sounds. The aim behind this work is to develop a system for recognizing the language, that provides communication between people with

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Herman, L., Z. Stachoň, R. Stuchlík, J. Hladík, and P. Kubíček. "TOUCH INTERACTION WITH 3D GEOGRAPHICAL VISUALIZATION ON WEB: SELECTED TECHNOLOGICAL AND USER ISSUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W2 (October 5, 2016): 33–40. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w2-33-2016.

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The use of both 3D visualization and devices with touch displays is increasing. In this paper, we focused on the Web technologies for 3D visualization of spatial data and its interaction via touch screen gestures. At the first stage, we compared the support of touch interaction in selected JavaScript libraries on different hardware (desktop PCs with touch screens, tablets, and smartphones) and software platforms. Afterward, we realized simple empiric test (within-subject design, 6 participants, 2 simple tasks, LCD touch monitor Acer and digital terrain models as stimuli) focusing on the abilit

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Janath Shiv K S, Nithish Sankar B, Dhanapathi.S, and Ms. Kanthimathi M. "Beginner Friendly Drawing Pad Using AI." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 05 (2024): 1370–74. http://dx.doi.org/10.47392/irjaeh.2024.0189.

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This project introduces an innovative solution designed to empower individuals with disabilities and enhance drawing efficiency for professionals. Through the utilization of AI-powered hand gesture recognition, the drawing pad allows for intuitive sketching by simply using gestures, marking a significant advancement in visual expression for those who are dumb. Professionals stand to benefit greatly from the streamlined drawing process, as the system translates gestures into precise depictions with minimal manual input, ultimately increasing productivity. Furthermore, the project addresses the

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Jha, Ashish, and Kamal Pathak. "Breaking Barriers: Hand Gesture Vocalizer for the Deaf and Mute." JMC Research Journal 12, no. 1 (2024): 1–20. http://dx.doi.org/10.3126/jmcrj.v12i1.61623.

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This study addresses communication challenges faced by deaf and mute individuals by exploring the feasibility of utilizing flex sensors and the Random Forest algorithm for hand gesture vocalization. The background underscores the significance of accessible communication tools in enhancing the lives of those with hearing and speech impairments. The study's purpose is to assess the eﬀectiveness of flex sensors in detecting hand gestures and the Random Forest algorithm's potential to generate vocalized speech corresponding to these gestures. The methodology involves data collection from flex sens

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Song, Seungeon, Bongseok Kim, Sangdong Kim, and Jonghun Lee. "Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning." Sensors 21, no. 11 (2021): 3937. http://dx.doi.org/10.3390/s21113937.

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Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of various foot gestures based on Doppler radar and a deep learning model. In this paper, we propose a method of foot gesture recognition using a new high-compression radar signature image and deep learning. By means of a deep learning AlexNet model, a new high-compression radar signature is created by extracting dominant features via Singular Value Deco

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Favali, Filippo, Viktor Schmuck, Valeria Villani, and Oya Celiktutan. "TAG2G: A Diffusion-Based Approach to Interlocutor-Aware Co-Speech Gesture Generation." Electronics 13, no. 17 (2024): 3364. http://dx.doi.org/10.3390/electronics13173364.

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Extended reality (XR) systems are about to be integrated into our daily lives and will provide support in a variety of fields such as education and coaching. Enhancing user experience demands agents that are capable of displaying realistic affective and social behaviors within these systems, and, as a prerequisite, with the capability of understanding their interaction partner and responding appropriately. Based on our literature review of recent works published in the field of co-speech gesture generation, researchers have developed complex models capable of generating gestures characterized

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Mohammed, Abdul Kalam Khan, and Taha Rafi Farooqui Mohammed. "SignifyX: A Multi-Lingual Fingerspelling Sign Language Recognition System Using Artificial Intelligence." Advancement of Computer Technology and its Applications 8, no. 1 (2024): 39–47. https://doi.org/10.5281/zenodo.14048583.

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<em>In recent years, sign language recognition technology has gained significant attention due to its potential to bridge communication gaps between the hearing-impaired community and the broader population. Fingerspelling, a fundamental aspect of sign language, allows individuals to spell out words letter by letter using hand gestures, making it a critical tool for effective communication. This paper introduces SignifyX, a Kotlin-based mobile application designed to recognize fingerspelling in three sign languages—English (ASL), French (FSL), and Arabic (ArSL)—using MediaPipe's ge

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Zagale, Vaishnavi, Asiya Tigale, and Bhavika Todsam. "Android Application for Women Safety." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 1923–28. http://dx.doi.org/10.22214/ijraset.2024.59212.

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Abstract: Violence against women remains a significant societal concern. This paper introduces a novel Android application built with the Flutter framework to empower women with a tool for improved personal safety. The core feature involves realtime location sharing triggered by a discreet gesture recognition system. Shaking the device three times, for example, activates an emergency response, promptly notifying pre-selected contacts. This paper explores the innovative design and functionality of the application. It highlights the integration of advanced technology with a user-friendly interfa

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López-Casado, Carmen, Enrique Bauzano, Irene Rivas-Blanco, Carlos J. Pérez-del-Pulgar, and Víctor F. Muñoz. "A Gesture Recognition Algorithm for Hand-Assisted Laparoscopic Surgery." Sensors 19, no. 23 (2019): 5182. http://dx.doi.org/10.3390/s19235182.

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Minimally invasive surgery (MIS) techniques are growing in quantity and complexity to cover a wider range of interventions. More specifically, hand-assisted laparoscopic surgery (HALS) involves the use of one surgeon’s hand inside the patient whereas the other one manages a single laparoscopic tool. In this scenario, those surgical procedures performed with an additional tool require the aid of an assistant. Furthermore, in the case of a human–robot assistant pairing a fluid communication is mandatory. This human–machine interaction must combine both explicit orders and implicit information fr

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Segal, Ava D., Mark C. Lesak, Anne K. Silverman, and Andrew J. Petruska. "A Gesture-Controlled Rehabilitation Robot to Improve Engagement and Quantify Movement Performance." Sensors 20, no. 15 (2020): 4269. http://dx.doi.org/10.3390/s20154269.

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Rehabilitation requires repetitive and coordinated movements for effective treatment, which are contingent on patient compliance and motivation. However, the monotony, intensity, and expense of most therapy routines do not promote engagement. Gesture-controlled rehabilitation has the potential to quantify performance and provide engaging, cost-effective treatment, leading to better compliance and mobility. We present the design and testing of a gesture-controlled rehabilitation robot (GC-Rebot) to assess its potential for monitoring user performance and providing entertainment while conducting

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Maddalena, Giovanni, and Simone Bernardi della Rosa. "Habit, Gesture and the History of Ideas." Philosophies 8, no. 2 (2023): 40. http://dx.doi.org/10.3390/philosophies8020040.

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This paper explores the intertwinement of ontology and history that happened after the idealist turn of Kantian transcendentalism, particularly in classic German idealism and later in American pragmatism. The paper focuses on the less remarked-upon consequence of this intertwinement, namely the possibility of a new reading of history based on changes in concepts and habitual mentality. The paper proposes a new take on historiography that vindicates Hegel’s insight but changes his approach to a pragmatist one, more apt to face historical changes in a technical way and less easily twistable into

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Pinheiro, Sara. "Foley gesture: Towards a theory of acousmatic foley." New Sound, no. 61-1 (2023): 60–83. http://dx.doi.org/10.5937/newso23061060p.

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The research project "Acousmatic Foley" addresses common traits between foley art and Concrete Music, based on the idea that the foley artist is an acousmatic listener and, in turn, that acousmatic listening is a form of fiction. In this line, the study argues that both fields have similar treatment of the "sonorous object". For this purpose, the research builds on two lines of thought: the "son-en-scène" and the "mise-en-son". Firstly, the "son-en-scène" focuses on the sounds of the filmic miseen-scène (and its sound props), from very early cases to contemporary instances. The focus on these

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Xu, Jianxi, Zhao Tang, Huiwen Zhao, and Jianjun Zhang. "Hand Gesture-Based Virtual Reality Training Simulator for Collaboration Rescue of a Railway Accident." Interacting with Computers 31, no. 6 (2019): 577–88. http://dx.doi.org/10.1093/iwc/iwz037.

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Abstract Training simulator is an efficient and innovative tool to help users learn professional skills due to its convenience and safety. However, complex human–computer interaction is one of the main disadvantages that limit its effectiveness in safety training, especially for the rescue of a railway accident that requires collaborations. Through designing a set of task-specific hand gestures, we developed a training simulator for the recovery of a railway accident that helps the rescuers learn and practice rescue skills in a life-like environment and gain the firsthand experience. To test t

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