Relevant bibliographies by topics / Touchless user interface

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  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 (February 1, 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 (July 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 (March 16, 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 (May 12, 2012): 687–91. http://dx.doi.org/10.1007/s00345-012-0879-0.

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Ahmad, Bashar I., Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon, and Simon Godsill. "Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch." International Journal of Mobile Human Computer Interaction 11, no. 3 (July 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 session followed by an expert workshop with 12 participants. A simulator study with 24 participants using a prototype predictive touch system was then conducted. A number of collected quantitative and qualitative measures show that immediate mid-air selection, where the system autonomously auto-selects the predicted interface component, may be the most promising strategy for predictive touch.
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Ketabdar, Hamed, Amin Haji-Abolhassani, and Mehran Roshandel. "MagiThings." International Journal of Mobile Human Computer Interaction 5, no. 3 (July 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 Apple’s iPhone 3GS/4G, and Google’s Nexus. The user movements of a properly shaped magnet around the device deform the original magnetic field. The magnet is taken or worn around the fingers. The changes made in the magnetic field pattern around the device constitute a new way of interacting with the device. Thus, the magnetic field encompassing the device plays the role of a communication channel and encodes the hand/finger movement patterns into temporal changes sensed by the compass sensor. The mobile device samples momentary status of the field. The field changes, caused by hand (finger) gesture, is used as a basis for sending interaction commands to the device. The pattern of change is matched against pre-recorded templates or trained models to recognize a gesture. The proposed methodology has been successfully tested for a variety of applications such as interaction with user interface of a mobile device, character (digit) entry, user authentication, gaming, and touchless mobile music synthesis. The experimental results show high accuracy in recognizing simple or complex gestures in a wide range of applications. The proposed method provides a practical and simple framework for touchless interaction with mobile devices relying only on an internally embedded sensor and a magnet.
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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 (September 22, 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 low. Based on these results we proposed a gesture-based system for vehicle on-board system. It has been developed on the available state-of-the-art solutions and investigated in terms of usability on a group of people with different physical limitations who drive a car on daily basis mostly using steering aid tools. The obtained results are compared with the performance of users without any disabilities.
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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 (March 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 (July 26, 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 total of 113 publications focusing on ADMIs. Based on the 83 instruments in this dataset, ten control interface types were identified: tangible controllers, touchless controllers, Brain–Computer Music Interfaces (BCMIs), adapted instruments, wearable controllers or prosthetic devices, mouth-operated controllers, audio controllers, gaze controllers, touchscreen controllers and mouse-controlled interfaces. The majority of the AMDIs were tangible or physical controllers. Although the haptic modality could potentially play an important role in musical interaction for many user groups, relatively few of the ADMIs (14.5%) incorporated vibrotactile feedback. Aspects judged to be important for successful ADMI design were instrument adaptability and customization, user participation, iterative prototyping, and interdisciplinary development teams.
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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’evoluzione in ambito tecnologico ha permesso il riconoscimento gestuale, aprendo le porte ad una serie di interessanti applicazioni in ambito industriale. Una corretta ed efficace interazione da parte dell’utente, con un sistema ad alto contenuto tecnologico e composto da una moltitudine di sottosistemi, è uno degli obiettivi principali dell’interaction design, che si basa sui principi di usabilità e segue una metodologia di tipo user-centered. Nell’elaborato che segue viene affrontato il tema della progettazione delle HMI in ambito industriale e viene presentato un sistema touchless basato sull’interazione gestuale per le macchine a controllo numerico (CNC). La finalità è quella di migliorare l’esperienza dell’operatore, rendendo l’interazione più naturale e intuitiva.
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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
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 exemplo as interfaces gestuais touchless, acarretam oportunidades e desafios, quer ao nível da usabilidade e User Experience (UX), quer de um ponto de vista específico, quando concebida a sua potencial integração na experiência turística, como mais um veículo de consumo, partilha e manipulação de informação turística. A presente investigação, temporalmente, acompanhou o lançamento e sucesso do sensor Kinect, que aproximou e diversificou a aplicação e desenvolvimento de interfaces touchless em diferentes contextos. No âmbito turístico, foi identificado que a possível aplicação deste paradigma ainda não tinha sido explorado de forma detalhada. Verificava-se também a necessidade de contribuir para a definição de standards e estratégias para a exploração da UX em relação às interfaces gestuais touchless. Decorrendo da conjuntura apresentada, o presente estudo pretendeu focar a possível aplicação, potencialidades e experiência de utilização de soluções interativas com suporte de interação gestual touchless em contexto turístico. O estudo empírico desenhado e implementado envolveu dois momentos principais: a execução de entrevistas a experts e a realização de uma avaliação em contexto controlado de um protótipo de uma solução interativa touchless, destinada ao contexto turístico. A avaliação referida, na qual participaram 51 indivíduos, implicou o desenvolvimento de instrumentos e de um protocolo de teste adequado aos objetivos e características diferenciadoras do estudo. Como resultados gerais, o primeiro momento permitiu identificar um conjunto de vantagens e desvantagens, potencialidades e especificidades das interfaces gestuais touchless, quando concebida a sua aplicação ao turismo. O segundo momento, contando com o envolvimento dos participantes, destacou as questões relacionadas com a usabilidade e UX das interfaces touchless, permitindo estabelecer um conjunto de guias, metodologia e estratégias, que podem ser aplicadas no desenvolvimento e avaliação de outras soluções que suportem o paradigma referido. Recolheram-se ainda opiniões ao nível do potencial uso das mesmas em contexto turístico, identificadas no contributo dos utilizadores/participantes da avaliação em contexto controlado.
The evolution of communication and information technologies drove new approaches in the tourism industry. This stimulus, combined with the new tourist behaviour, aware of Web 2.0 dynamics and participative in the social web culture, have provided new opportunities for new tourism services, with ubiquitous and personalized access during the entire cycle of the touristic experience. Also, the emergence of new human-computer interaction paradigms - such as touchless gestural interfaces - lead to challenges and opportunities in what concerns usability and user experience (UX). Furthermore, when integrated in the touristic experience, those interfaces may enhance information sharing and manipulation, adding a new dimension to how we experience tourism. This research aroused with the launch of the Kinect sensor, which allowed the application and development of touchless interfaces in different contexts. In tourism, the application of this paradigm has not yet been fully discussed. It was also relevant to contribute to the definition of standards and strategies for researching and evaluating the UX with touchless interfaces. Thus, this study intended to focus on the possible application, potentialities and UX resulting from using interactive solutions with touchless gestural interaction in tourism. The empirical study had two main stages: first, the performance of interviews with experts and second, the execution of an evaluation in a controlled setting, using a prototype of an interactive gestural touchless interface. This evaluation, which was attended by 51 participants, implied the development of suitable tools and evaluation protocol. As a result, the first stage enabled the identification of a set of advantages, disadvantages, possibilities and features of this type of interactive solutions. The second stage focused on the issues related to usability and user experience of touchless gestural interfaces, to establish a set of guidelines, methodologies and approaches. It also collected opinions from users about the application of touchless gestural interfaces in tourism.
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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
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 usuarios son inaplicables o costosos de realizar. En consecuencia, modelos de usuario cuantitativos son necesarios para efectuar esas evaluaciones. Dado que la evaluación basada en modelos es importante en HCI y que los modelos disponibles son insuficientes para evaluar NUIs basadas en THG, esta tesis estudia modelos para interfaces de este tipo. Dos enfoques de modelamiento son abordados, aunque el enfoque principal está puesto en modelos predictivos. La tesis primeramente presenta un estudio para entender la articulación de gestos, el cual permitió derivar un modelo descriptivo sobre la concepción y producción de gestos de usuarios, y una taxonomía de gestos. Después, la tesis se concentra en (1) el análisis de la viabilidad de utilizar modelos cuantitativos existentes para abarcar THG; (2) la formulación de un modelo para predecir el tiempo de rendimiento para realizar tareas; y (3) la validación de este nuevo modelo. En todos los casos, el rendimiento de los modelos es estudiado de acuerdo a varias métricas usadas para hacer comparaciones con rangos típicos en el área. Así, la contribución principal de esta tesis es un modelo para estimar el tiempo que un usuario necesita para hacer una tarea con una NUI basada en THG empleando su mano. El modelo propuesto, que es llamado THGLM, está basado en el modelo clásico KLM. Prescribe que los gestos manuales sean analizados de acuerdo a su estructura temporal; es decir, utilizando gesture units . THGLM predice el tiempo de rendimiento en una forma aceptable (error de predicción = 12 %, R2 > 0.9). Los experimentos realizados también confirman la utilidad del modelo para analizar y comparar diseños de interfaces. Si bien THGLM tiene ciertas limitaciones, tiene ventajas importantes tales como su relativa facilidad de usar y extender. Más allá de las limitaciones intrínsecas de THGLM, éste debería ayudar en el diseño y evaluación de NUIs basadas en THG. Los diseñadores de UIs pueden predecir el tiempo para completar tareas sin la participación de usuarios, y luego, usar ese valor como métrica para analizar o evaluar una UI. Esta estrategia es especialmente útil en situaciones donde es difícil llevar a cabo pruebas con usuarios o como un paso preliminar a la evaluación de una interfaz. Por lo tanto, se espera que el modelo propuesto se convierta en una herramienta útil para diseñadores de software para realizar evaluaciones de usabilidad, mejorar diseños de interfaces, y desarrollar mejores aplicaciones de software utilizando gestos.
Esta tesis ha sido parcialmente financiada por SENESCYT (Ecuador, Convocatoria Abierta 2011), Universidad Técnica Estatal de Quevedo (Ecuador) y NIC Chile (DCC, Universidad de Chile)
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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, 215–19. 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, 203–22. 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, S. Mita, M. Imanishi, N. Sanma, and S. Shibata. "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, Bao Xiao Tong, Shing Hei Chan, Boyin Yang, Adam Harwood, and Tom Carter. "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. New York, NY, USA: 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. New York, NY, USA: 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. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3078810.3078831.

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