Review: Development and Technical Design of Tangible User Interfaces in Wide-Field Areas of Application

Krestanova, Alice; Černý, Martin; Augustýnek, Martin

doi:10.3390/s21134258

Cited by 12 publications

(9 citation statements)

References 81 publications

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“…Para conocer la investigación en el ámbito de la educación musical se han revisado diversos estudios. Krestanova et al (2021) abordan el aprendizaje musical interactivo utilizando interfaces digitales. Se utilizó un concepto técnico sensorial para llevar a cabo el procesamiento de imágenes, lo que hizo posible mejorar la memorización del contenido.…”

Section: Discussionunclassified

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The practice of interactive knowledge sharing in the course of music education: exchange between classmates and the teacher (Intercambio interactivo de conocimientos en la educación musical: intercambios entre el alumnado y el profesorado)

Min¹

2022

Culture and Education

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The purpose of the study is to determine the effectiveness of the exchange of knowledge between classmates and the teacher in the framework of interactive music education. This goal was achieved with the help of the questionnaire method, which involved measuring the effectiveness of schoolchildren's progress and the coefficient of effectiveness of the knowledge gained. The study was attended by 120 students from three music schools in Beijing. It was found that the greatest effectiveness of interactive learning can be achieved by taking into account the following elements: the development of communication skills, the creation of a comfortable atmosphere in the classroom, the formation of teamwork, the use of modern multimedia technologies and the involvement of highly qualified teachers. After a year of study, 39% of rising musicians showed an improvement in communication skills and 32% developed their creative skills. The performance of four interactive groups turned out to be highly efficient. The results of the study are of scientific value for teachers who ensure the effectiveness of the knowledge gained. RESUMENEl objetivo de este estudio es determinar la efectividad del intercambio de conocimientos entre alumnos y profesor/a en el marco de la educación musical interactiva. Para alcanzar este objetivo, se utilizó el método del cuestionario para medir la efectividad del progreso del alumnado y el coeficiente de efectividad de los conocimientos adquiridos. En el estudio participaron 120 alumnos de tres centros de educación musical de Pekín. Los resultados revelaron que el mayor nivel de efectividad del aprendizaje interactivo se consigue teniendo en cuenta los siguientes elementos: el desarrollo de la capacidad de comunicación, la creación de un ambiente distendido y cómodo en la clase, la creación de trabajo de equipo, el uso de tecnologías multimedia modernas y la participación de docentes altamente cualificados. Tras un año de ARTICLE HISTORY

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Section: Discussionunclassified

“…To find research in the field of interactive music education, various studies have been analysed. Thus, Krestanova et al (2021) consider interactive music learning with the use of digital interfaces. A sensory technical concept was used to perform image processing, which made it possible to improve content memorization.…”

Section: Discussionmentioning

confidence: 99%

The practice of interactive knowledge sharing in the course of music education: exchange between classmates and the teacher (Intercambio interactivo de conocimientos en la educación musical: intercambios entre el alumnado y el profesorado)

Min¹

2022

Culture and Education

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“…Although this proposal represent an example of TUI applied to AI interaction, it requires the use of an additional visual interface for the text conversation, which TactCube aims to avoid. A recent article [ 12 ] presents a broad overview of TUI in many areas, focusing on its technical solutions. None of the works reported aims to be an interface for conversing with artificial intelligence, and furthermore, none of them exclusively uses the tactile sense, which is a primary feature of the proposed TactCube .…”

Section: Related Workmentioning

confidence: 99%

TactCube: An Intelligent Device to ‘converse’ with Smart Environments

Battistoni

Gregorio

Romano

et al. 2022

Sensors

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Ambient Intelligence is a vision of daily life in which intelligent devices interact with humans to make their lives easier, and the technology is invisible. Artificial Intelligence (AI) governs this smart environment and must interact with humans to best meet their needs and demands. Although voice assistants are very popular and efficient as conversational AI, under some conditions they cannot be used. Therefore, this work proposed a complementary tactile and tangible interface to converse with AI, creating new Tactile Signs. A prototype of TactCube, a wireless cube-shaped device that can interact with AI using only the tactile sense, is presented. The hypothesis is that TactCube can be manipulated with one hand and generate a sequence of numbers that can be interpreted as a new tactile language by a neural network solution. The paper describes the initial research made to define how these sequences can be generated and demonstrates how TactCube is able to do it.

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“…Recently, there seems to have been a marked increase in interest in the construction of intuitive natural user interfaces, which is a promising area of study [10]. Such interfaces must be imperceptible to the user, enabling them to engage with an application in an informal style without the need for sophisticated and expensive equipment [11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Machine Learning–Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform

Adhikari¹,

Gangopadhayay²,

Pal³

et al. 2023

Computer Systems Science and Engineering

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Machine learning is a technique for analyzing data that aids the construction of mathematical models. Because of the growth of the Internet of Things (IoT) and wearable sensor devices, gesture interfaces are becoming a more natural and expedient human-machine interaction method. This type of artificial intelligence that requires minimal or no direct human intervention in decision-making is predicated on the ability of intelligent systems to self-train and detect patterns. The rise of touch-free applications and the number of deaf people have increased the significance of hand gesture recognition. Potential applications of hand gesture recognition research span from online gaming to surgical robotics. The location of the hands, the alignment of the fingers, and the hand-to-body posture are the fundamental components of hierarchical emotions in gestures. Linguistic gestures may be difficult to distinguish from nonsensical motions in the field of gesture recognition. Linguistic gestures may be difficult to distinguish from nonsensical motions in the field of gesture recognition. In this scenario, it may be difficult to overcome segmentation uncertainty caused by accidental hand motions or trembling. When a user performs the same dynamic gesture, the hand shapes and speeds of each user, as well as those often generated by the same user, vary. A machine-learning-based Gesture Recognition Framework (ML-GRF) for recognizing the beginning and end of a gesture sequence in a continuous stream of data is suggested to solve the problem of distinguishing between meaningful dynamic gestures and scattered generation. We have recommended using a similarity matching-based gesture classification approach to reduce the overall computing cost associated with identifying actions, and we have shown how an efficient feature extraction method can be used to reduce the thousands of single gesture information to four binary digit gesture codes. The findings from the simulation support the accuracy, precision, gesture recognition, sensitivity, and efficiency rates. The Machine Learning-based Gesture Recognition Framework (ML-GRF) had an

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Review: Development and Technical Design of Tangible User Interfaces in Wide-Field Areas of Application

Cited by 12 publications

References 81 publications

The practice of interactive knowledge sharing in the course of music education: exchange between classmates and the teacher (Intercambio interactivo de conocimientos en la educación musical: intercambios entre el alumnado y el profesorado)

The practice of interactive knowledge sharing in the course of music education: exchange between classmates and the teacher (Intercambio interactivo de conocimientos en la educación musical: intercambios entre el alumnado y el profesorado)

TactCube: An Intelligent Device to ‘converse’ with Smart Environments

A Novel Machine Learning–Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform

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