Gotowe bibliografie tematyczne / Gesture-based tool

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Gotowa bibliografia na temat „Gesture-based tool”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Gesture-based tool"

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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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Rozprawy doktorskie na temat "Gesture-based tool"

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Uggerud, Nils. "AnnotEasy: A gesture and speech-to-text based video annotation tool for note taking in pre-recorded lectures in higher education." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105962.

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This paper investigates students’ attitudes towards using gestures and speech-to- text (GaST) to take notes while watching recorded lectures. A literature review regarding video based learning, an expert interview, and a background survey regarding students’ note taking habits led to the creation of the prototype AnnotEasy, a tool that allows students to use GaST to take notes. AnnotEasy was tested in three iterations against 18 students, and was updated after each iteration.  The students watched a five minute long lecture and took notes by using AnnotEasy. The participants’ perceived ease of
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Książki na temat "Gesture-based tool"

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Bala, Sruti. The gestures of participatory art. Manchester University Press, 2018. http://dx.doi.org/10.7228/manchester/9781526100771.001.0001.

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The gestures of participatory art offers a critical investigation of key debates in relation to participatory art, spanning the domains of applied and community theatre, immersive performance as well as the visual arts. Rather than seeking a genre-based definition, it asks how artists, audiences and art practices approach the subject of participation beyond the predetermined options allocated to them. In doing so, it inquires into the ways that artworks participate in civic life. Participation is the utopian sweet dream that has turned into a nightmare in contemporary neoliberal societies. Yet
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Części książek na temat "Gesture-based tool"

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Dhingra, Naina, Reinhard Koutny, Sebastian Günther, Klaus Miesenberger, Max Mühlhäuser, and Andreas Kunz. "Pointing Gesture Based User Interaction of Tool Supported Brainstorming Meetings." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58805-2_3.

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AbstractThis paper presents a brainstorming tool combined with pointing gestures to improve the brainstorming meeting experience for blind and visually impaired people (BVIP). In brainstorming meetings, BVIPs are not able to participate in the conversation as well as sighted users because of the unavailability of supporting tools for understanding the explicit and implicit meaning of the non-verbal communication (NVC). Therefore, the proposed system assists BVIP in interpreting pointing gestures which play an important role in non-verbal communication. Our system will help BVIP to access the c
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Medhi, Manjyoti, and Anjan Kumar Talukdar. "Leap Motion Sensor-based Learning-aid Tool using Hand Gesture Interfacing." In Advances in Engineering Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-529-4_12.

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Achler, Stefan. "GBXT – A Gesture-Based Data Exploration Tool for Your Favorite Database System." In Model and Data Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11587-0_21.

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Sharma, Chitra, Kanika Sharma, Manni Kumar, Pardeep Garg, and Nitin Goyal. "Open-Source Gesture-Powered Augmented Reality-Based Remote Assistance Tool for Industrial Application: Challenges and Improvisation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8646-0_27.

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Chen, Tin-Kai, Robert C. C. Chen, and Fong-Gong Wu. "Gesture-Based Interaction for Cultural Exhibitions." In Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39188-0_49.

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Fjeld, Morten, Martin Bichsel, and Matthias Rauterberg. "BUILD-IT: An intuitive design tool based on direct object manipulation." In Gesture and Sign Language in Human-Computer Interaction. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0053008.

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Salud, Ingrid, Harold Jay Bolingot, Lea Cristina Macaraig, Nathaniel Libatique, and Gregory Tangonan. "Surface-Based Electromyography Gesture Profiling of Laparoscopic Tools Using a Wearable Sensor." In IFMBE Proceedings. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66169-4_5.

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Bomsdorf, Birgit, Rainer Blum, and Daniel Künkel. "Towards ProGesture, a Tool Supporting Early Prototyping of 3D-Gesture Interaction." In 3D Printing. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1677-4.ch020.

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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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Céard-Falkenberg, Felix, Konstantin Kuznetsov, Alexander Prange, Michael Barz, and Daniel Sonntag. "pEncode: A Tool for Visualizing Pen Signal Encodings in Real-Time." In HHAI2022: Augmenting Human Intellect. IOS Press, 2022. http://dx.doi.org/10.3233/faia220217.

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Many features have been proposed for encoding the input signal from digital pens and touch-based interaction. They are widely used for analyzing and classifying handwritten texts, sketches, or gestures. Although they are well defined mathematically, many features are non-trivial and therefore difficult to understand for a human. In this paper, we present an application that visualizes a subset from 114 digital pen features in real-time while drawing. It provides an easy-to-use interface that allows application developers and machine learning practitioners to learn how digital pen features enco
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Talbot Hugo, Lekkal Myriam, Bessard-Duparc Remi, and Cotin Stephane. "Interactive Planning of Cryotherapy Using Physics-Based Simulation." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-375-9-423.

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Cryotherapy is a rapidly growing minimally invasive technique for the treatment of certain tumors. It consists in destroying cancer cells by extreme cold delivered at the tip of a needle-like probe. As the resulting iceball is often smaller than the targeted tumor, a key to the success of cryotherapy is the planning of the position and orientation of the multiple probes required to treat a tumor, while avoiding any damage to the surrounding tissues. In order to provide such a planning tool, a number of challenges need to be addressed such as fast and accurate computation of the freezing proces
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Streszczenia konferencji na temat "Gesture-based tool"

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Künkel, Daniel, Dominik Rupprecht, and Rainer Blum. "Evaluation of Tool-based Gesture Extractions." In MuC'19: Mensch-und-Computer. ACM, 2019. http://dx.doi.org/10.1145/3340764.3344881.

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Fukutake, Hiromichi, Yoshiaki Akazawa, and Yoshihiro Okada. "Voice and gesture-based 3D multimedia presentation tool." In Optics East 2007, edited by Susanto Rahardja, JongWon Kim, and Jiebo Luo. SPIE, 2007. http://dx.doi.org/10.1117/12.734783.

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Matetelki, Peter, Mate Pataki, Sandor Turbucz, and Laszlo Kovacs. "An assistive interpreter tool using glove-based hand gesture recognition." In 2014 IEEE Canada International Humanitarian Technology Conference (IHTC). IEEE, 2014. http://dx.doi.org/10.1109/ihtc.2014.7147529.

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Song, Huaguang, and Michael Neff. "Design and evaluation of a sketch-based gesture animation tool." In MIG '14: Motion in Games. ACM, 2014. http://dx.doi.org/10.1145/2668064.2677079.

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Hübert, Heiko, Volha Taliaronak, and Hae Seon Yun. "AI BASED GESTURE AND SPEECH RECOGNITION TOOL FLOW FOR EDUCATORS." In 15th annual International Conference of Education, Research and Innovation. IATED, 2022. http://dx.doi.org/10.21125/iceri.2022.1596.

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Huang, Jinmiao, and Rahul Rai. "Hand Gesture Based Intuitive CAD Interface." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34070.

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A key objective of gesture based computer aided design (CAD) interface is to enable humans to manipulate 3D models in virtual environments in a manner similar to how such objects are manipulated in real-life. In this paper, we outline the development of a novel real-time gesture based conceptual computer aided design tool which enables intuitive hand gesture based interaction with a given design interface. Recognized hand gestures along with hand position information are converted into commands for rotating, scaling, and translating 3D models. In the presented system, gestures are identified b
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Pavitra, N., K. Vijay, N. S. Sharathkumar, H. M. Punithkumar, Bai L. Nirmala, and S. Gowrishankar. "A Gesture Based Communication Tool for Mute and Hearing Impaired People." In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2023. http://dx.doi.org/10.1109/icirca57980.2023.10220602.

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Dhami, Sukhdeep S., Ashutosh Sharma, Rohit Kumar, and Parveen Kalra. "Gesture Based Control of a Simulated Robot Manipulator." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47419.

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The number of industrial and household robots is fast increasing. A simpler human-robot interaction is preferred in household robotic applications as well as in hazardous environments. Gesture based control of robots is a step in this direction. In this work, a virtual model of a 3-DOF robotic manipulator is developed using V-Realm Builder in MATLAB and the mathematical models of forward and inverse kinematics of the manipulator are coded in MATLAB/Simulink software. Human hand gestures are captured using a smartphone with accelerometer and orientation sensors. A wireless interface is provided
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Jaiswal, Prakhar, Anurag Baburao Bajad, Vishwas Grama Nanjundaswamy, Anoop Verma, and Rahul Rai. "Creative Exploration of Scaled Product Family 3D Models Using Gesture Based Conceptual Computer Aided Design (C-CAD) Tool." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12279.

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The concepts of scale and platform based product family are being used by many companies to meet the customization needs of customers. Research in the area of product family design predominantly focuses on optimization frameworks. There is a lack of creative conceptual computer-aided 3D modeling tools for product family design exploration. In this paper, a gesture-based conceptual computer-aided design (C-CAD) exploration tool for scaled 3D product family models is presented. The proposed gesture-based C-CAD allows for easy, natural, and intuitive modification of 3D objects to create scaled 3D
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Prakash, Anusha, R. Swathi, Stuti Kumar, T. S. Ashwin, and G. Ram Mohana Reddy. "Kinect Based Real Time Gesture Recognition Tool for Air Marshallers and Traffic Policemen." In 2016 IEEE Eighth International Conference on Technology for Education (T4E). IEEE, 2016. http://dx.doi.org/10.1109/t4e.2016.015.

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