Relevant bibliographies by topics / Touchless user interface

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Touchless user interface'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Touchless user interface"

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Jung, Il-Lyong, Akatyev Nikolay, Won-Dong Jang, and Chang-Su Kim. "Touchless User Interface for Real-Time Mobile Devices." Transactions of The Korean Institute of Electrical Engineers 60, no. 2 (2011): 435–40. http://dx.doi.org/10.5370/kiee.2011.60.2.435.

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Iannessi, Antoine, Pierre Yves Marcy, Olivier Clatz, Nicholas Ayache, and Pierre Fillard. "Touchless User Interface for Intraoperative Image Control: Almost There." RadioGraphics 34, no. 4 (2014): 1142–44. http://dx.doi.org/10.1148/rg.344135158.

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MA, Meng, Pascal Fallavollita, Séverine Habert, Simon Weidert, and Nassir Navab. "Device- and system-independent personal touchless user interface for operating rooms." International Journal of Computer Assisted Radiology and Surgery 11, no. 6 (2016): 853–61. http://dx.doi.org/10.1007/s11548-016-1375-6.

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Ruppert, Guilherme Cesar Soares, Leonardo Oliveira Reis, Paulo Henrique Junqueira Amorim, Thiago Franco de Moraes, and Jorge Vicente Lopes da Silva. "Touchless gesture user interface for interactive image visualization in urological surgery." World Journal of Urology 30, no. 5 (2012): 687–91. http://dx.doi.org/10.1007/s00345-012-0879-0.

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Ahmad, Bashar I., Chrisminder Hare, Harpreet Singh, et al. "Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch." International Journal of Mobile Human Computer Interaction 11, no. 3 (2019): 18–39. http://dx.doi.org/10.4018/ijmhci.2019070102.

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Predictive touch technology aims to improve the usability and performance of in-vehicle displays under the influence of perturbations due to the road and driving conditions. It fundamentally relies on predicting and early in the freehand pointing movement, the interface item the user intends to select, using a novel Bayesian inference framework. This article focusses on evaluating facilitation schemes for selecting the predicted interface component whilst driving, and without physically touching the display, thus touchless. Initially, several viable schemes were identified in a brainstorming s
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Ketabdar, Hamed, Amin Haji-Abolhassani, and Mehran Roshandel. "MagiThings." International Journal of Mobile Human Computer Interaction 5, no. 3 (2013): 23–41. http://dx.doi.org/10.4018/jmhci.2013070102.

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The theory of around device interaction (ADI) has recently gained a lot of attention in the field of human computer interaction (HCI). As an alternative to the classic data entry methods, such as keypads and touch screens interaction, ADI proposes a touchless user interface that extends beyond the peripheral area of a device. In this paper, the authors propose a new approach for around mobile device interaction based on magnetic field. Our new approach, which we call it “MagiThings”, takes the advantage of digital compass (a magnetometer) embedded in new generation of mobile devices such as Ap
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Małecki, Krzysztof, Adam Nowosielski, and Mateusz Kowalicki. "Gesture-Based User Interface for Vehicle On-Board System: A Questionnaire and Research Approach." Applied Sciences 10, no. 18 (2020): 6620. http://dx.doi.org/10.3390/app10186620.

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Touchless interaction with electronic devices using gestures is gaining popularity and along with speech-based communication offers their users natural and intuitive control methods. Now, these interaction modes go beyond the entertainment industry and are successfully applied in real-life scenarios such as a car interior. In the paper, we analyse the potential of hand gesture interaction in the vehicle environment by physically challenged drivers. A survey conducted with potential users shows that the knowledge of gesture-based interaction and its practical use by people with disabilities is
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Tan, Justin H., Cherng Chao, Mazen Zawaideh, Anne C. Roberts, and Thomas B. Kinney. "Informatics in Radiology: Developing a Touchless User Interface for Intraoperative Image Control during Interventional Radiology Procedures." RadioGraphics 33, no. 2 (2013): E61—E70. http://dx.doi.org/10.1148/rg.332125101.

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Rosa, Guillermo M., and MarÍa L. Elizondo. "Use of a gesture user interface as a touchless image navigation system in dental surgery: Case series report." Imaging Science in Dentistry 44, no. 2 (2014): 155. http://dx.doi.org/10.5624/isd.2014.44.2.155.

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Frid, Emma. "Accessible Digital Musical Instruments—A Review of Musical Interfaces in Inclusive Music Practice." Multimodal Technologies and Interaction 3, no. 3 (2019): 57. http://dx.doi.org/10.3390/mti3030057.

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Current advancements in music technology enable the creation of customized Digital Musical Instruments (DMIs). This paper presents a systematic review of Accessible Digital Musical Instruments (ADMIs) in inclusive music practice. History of research concerned with facilitating inclusion in music-making is outlined, and current state of developments and trends in the field are discussed. Although the use of music technology in music therapy contexts has attracted more attention in recent years, the topic has been relatively unexplored in Computer Music literature. This review investigates a tot
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Dissertations / Theses on the topic "Touchless user interface"

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Forte, Valentina. "Touchless interface: un pannello operatore per CNC basato sull'interazione gestuale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22677/.

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Negli ultimi anni si è assistito ad una radicale rivoluzione nell’ambito dei dispositivi di interazione uomo-macchina. Da quelli tradizionali, come mouse o tastiera, si è passati allo sviluppo di sistemi capaci di riconoscere i movimenti compiuti dall’utente, come nel caso delle interfacce basate sulla visione o sull’uso di accelerometri. Questi sistemi si sono evoluti con lo scopo di fornire maggiore naturalezza alla comunicazione uomo-macchina. Le nuove interfacce cercano di sfruttare le capacità di comunicazione naturali degli utenti, soprattutto attraverso il linguaggio gestuale. L’evolu
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Studeník, Pavel. "Interakce s objekty ve 3D prostoru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-235408.

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This thesis is focused on interaction with object in 3D environment. For detection of user is used the Microsoft Kinect device. Interaction is based on touchless control which is inspirated by reality.  Behaviour of designed solution is researched in experiments and some application is created for demonstration of functionality.
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Figueiredo, Cátia Filipa Pinho. "A experiência mediada por interfaces gestuais touchless em contexto turístico." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17909.

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Doutoramento em Informação e Comunicação em Plataformas Digitais<br>A evolução das Tecnologias da Informação e Comunicação impeliu novos modelos e estímulos para o sector do turismo. Estas mudanças, combinadas com uma nova postura do turista, repercutindo as dinâmicas da Web 2.0 e manifestando os contornos de uma cultura de participação, abriram espaço para o surgimento de novos serviços turísticos, de possível acesso ubíquo e personalizado ao longo de todo o ciclo da experiência turística. Simultaneamente, o surgimento de novos paradigmas de Interação Humano- Computador, de que são exe
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Erazo, Moreta Orlando Ramiro. "A predictive model for user performance time with natural user interfaces based on touchless hand gestures." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/142559.

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Doctor en Ciencias, Mención Computación<br>Las interfaces naturales de usuario (NUIs) basadas en gestos manuales sin contacto (THG) tienen ventajas sobre las interfaces de usuario (UIs) convencionales en varios escenarios. Sin embargo, éstas aún presentan problemas desafiantes por ser investigados, tales como su diseño y evaluación con la finalidad de obtener resultados satisfactorios. El enfoque clásico de la participación de usuarios para escoger gestos o analizar diseños de interfaces necesita ser complementado con evaluaciones predictivas para los casos en que los métodos basados en usuari
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Book chapters on the topic "Touchless user interface"

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Ruppert, G., P. Amorim, T. Moraes, and J. Silva. "Touchless gesture user interface for 3D visualization using the Kinect platform and open-source frameworks." In Innovative Developments in Virtual and Physical Prototyping. CRC Press, 2011. http://dx.doi.org/10.1201/b11341-35.

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Ali Yüksel, Kamer. "Gestural Interaction with Mobile Devices Based on Magnetic Field." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4446-5.ch011.

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The theory of around device interaction (ADI) has recently gained a lot of attention in the field of human computer interaction (HCI). As an alternative to the classic data entry methods, such as keypads and touch screens, ADI founds a 3D user interface that extends to the peripheral area of a device. In this chapter, the authors introduce a revolutionary interaction framework that is based on the idea of ADI. The proposed method constitutes a touchless data entry system that is based on the interaction between the magnetic fields around a device and a properly shaped magnet. The magnetic field that surrounds the device is generated by a magnetic sensor (compass) that is embedded in the new generation of mobile phones such as Apple’s iPhone 3GS and 4G, and Google’s Nexus one. The user movements of the properly shaped magnet in front of the device, then, deforms the sensor’s original magnetic field pattern whereby we can constitute a new means of communication between the user and the device. Thus, the magnetic field encompassing the device plays the role of a communication channel and encodes the hand-movement patterns of the user into temporal changes of the sensor’s magnetic field. In the back-end of the communication, an engine samples the momentary status of the field during a trial and recognizes the user’s pattern by matching it against some pre-recorded templates. The proposed method has been tested in a variety of applications such as handwriting recognition, user authentication, gesture recognition, and some entertainment applications. The experimental results show that the proposed interface not only elevates the convenience of user-device interactions, but also shows very promising accuracies in a wide range of applications requiring user interactions.
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Conference papers on the topic "Touchless user interface"

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Jingyuan Cheng, David Bannach, and Paul Lukowicz. "On body capacitive sensing for a simple touchless user interface." In 2008 5th International Summer School and Symposium on Medical Devices and Biosensors. IEEE, 2008. http://dx.doi.org/10.1109/issmdbs.2008.4575031.

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John, V., M. Umetsu, A. Boyali, et al. "Real-time hand posture and gesture-based touchless automotive user interface using deep learning." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995825.

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Martinez, Jonatan, Daniel Griffiths, Valerio Biscione, Orestis Georgiou, and Tom Carter. "Touchless Haptic Feedback for Supernatural VR Experiences." In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2018. http://dx.doi.org/10.1109/vr.2018.8446522.

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Georgiou, Orestis, Craig Jeffrey, Ziyuan Chen, et al. "Touchless Haptic Feedback for VR Rhythm Games." In 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2018. http://dx.doi.org/10.1109/vr.2018.8446619.

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Erazo, Orlando, and José A. Pino. "Predicting Task Execution Time on Natural User Interfaces based on Touchless Hand Gestures." In IUI'15: IUI'15 20th International Conference on Intelligent User Interfaces. ACM, 2015. http://dx.doi.org/10.1145/2678025.2701394.

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Placitelli, Alessio Pierluigi, and Luigi Gallo. "Toward a Framework for Rapid Prototyping of Touchless User Interfaces." In 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS). IEEE, 2012. http://dx.doi.org/10.1109/cisis.2012.77.

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Iqbal, Muhammad Zahid, and Abraham G. Campbell. "Investigating Challenges and Opportunities of the Touchless Hand Interaction and Machine Learning Agents to Support Kinesthetic Learning in Augmented Reality." In IUI '21: 26th International Conference on Intelligent User Interfaces. ACM, 2021. http://dx.doi.org/10.1145/3397482.3450713.

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Gentile, Vito, Salvatore Sorce, Alessio Malizia, Fabrizio Milazzo, and Antonio Gentile. "Investigating how user avatar in touchless interfaces affects perceived cognitive load and two-handed interactions." In PerDis '17: 6th International Symposium on Pervasive Displays. ACM, 2017. http://dx.doi.org/10.1145/3078810.3078831.

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