Musical Haptics

Haptic Musical Instruments; Haptic Psychophysics; Interface Design and Evaluation; User Experience; Musical Performanc

Applied Mathematics to Mechanisms and Machines

This book brings together all 16 articles published in the Special Issue "Applied Mathematics to Mechanisms and Machines" of the MDPI Mathematics journal, in the section “Engineering Mathematics”. The subject matter covered by these works is varied, but they all have mechanisms as the object of study and mathematics as the basis of the methodology used. In fact, the synthesis, design and optimization of mechanisms, robotics, automotives, maintenance 4.0, machine vibrations, control, biomechanics and medical devices are among the topics covered in this book. This volume may be of interest to all who work in the field of mechanism and machine science and we hope that it will contribute to the development of both mechanical engineering and applied mathematics

Musical Haptics

Haptic Musical Instruments; Haptic Psychophysics; Interface Design and Evaluation; User Experience; Musical Performanc

Modelling of Human Control and Performance Evaluation using Artificial Neural Network and Brainwave

Conventionally, a human has to learn to operate a machine by himself / herself. Human Adaptive Mechatronics (HAM) aims to investigate a machine that has the capability to learn its operator skills in order to provide assistance and guidance appropriately. Therefore, the understanding of human behaviour during the human-machine interaction (HMI) from the machine’s side is essential. The focus of this research is to propose a model of human-machine control strategy and performance evaluation from the machine’s point of view. Various HAM simulation scenarios are developed for the investigations of the HMI. The first case study that utilises the classic pendulum-driven capsule system reveals that a human can learn to control the unfamiliar system and summarise the control strategy as a set of rules. Further investigation of the case study is conducted with nine participants to explore the performance differences and control characteristics among them. High performers tend to control the pendulum at high frequency in the right portion of the angle range while the low performers perform inconsistent control behaviour. This control information is used to develop a human-machine control model by adopting an Artificial Neural Network (ANN) and 10-time- 10-fold cross-validation. Two models of capsule direction and position predictions are obtained with 88.3% and 79.1% accuracies, respectively. An Electroencephalogram (EEG) headset is integrated into the platform for monitoring brain activity during HMI. A number of preliminary studies reveal that the brain has a specific response pattern to particular stimuli compared to normal brainwaves. A novel human-machine performance evaluation based on the EEG brainwaves is developed by utilising a classical target hitting task as a case study of HMI. Six models are obtained for the evaluation of the corresponding performance aspects including the Fitts index of performance. The averaged evaluation accuracy of the models is 72.35%. However, the accuracy drops to 65.81% when the models are applied to unseen data. In general, it can be claimed that the accuracy is satisfactory since it is very challenging to evaluate the HMI performance based only on the EEG brainwave activity

Volume 59, Number 10 (October 1941)

School Music Broadcasts Everywhere Musical Pharmacopoeia Our Musical Good Neighbor Policy (interview with Elsie Houston) Music As a Life Asset (interview with John A. Warner) Complications in the Music of Richard Strauss (interview with Rose Pauly) Musical Life in Cairo (interview with Harry Mayer) Better Results in Choral Group Work (interview with Irving Landau) How to Get Up a Musical Paper Your Private Box at the Opera Why I Left My Teacher Russian Nationalist Composers, Part 2 Mastering Mixed Rhythms Music Study Now a Great National Asset: What Music Does to Your Character and How It Does It Air by Johann Sebastian Bach, Master Lesson Technic of the Month—Two-Note Phrase Groupshttps://digitalcommons.gardner-webb.edu/etude/1244/thumbnail.jp

Musical Haptics

This Open Access book offers an original interdisciplinary overview of the role of haptic feedback in musical interaction. Divided into two parts, part I examines the tactile aspects of music performance and perception, discussing how they affect user experience and performance in terms of usability, functionality and perceived quality of musical instruments. Part II presents engineering, computational, and design approaches and guidelines that have been applied to render and exploit haptic feedback in digital musical interfaces. Musical Haptics introduces an emerging field that brings together engineering, human-computer interaction, applied psychology, musical aesthetics, and music performance. The latter, defined as the complex system of sensory-motor interactions between musicians and their instruments, presents a well-defined framework in which to study basic psychophysical, perceptual, and biomechanical aspects of touch, all of which will inform the design of haptic musical interfaces. Tactile and proprioceptive cues enable embodied interaction and inform sophisticated control strategies that allow skilled musicians to achieve high performance and expressivity. The use of haptic feedback in digital musical interfaces is expected to enhance user experience and performance, improve accessibility for disabled persons, and provide an effective means for musical tuition and guidance

Workshop on Fuzzy Control Systems and Space Station Applications

The Workshop on Fuzzy Control Systems and Space Station Applications was held on 14-15 Nov. 1990. The workshop was co-sponsored by McDonnell Douglas Space Systems Company and NASA Ames Research Center. Proceedings of the workshop are presented

Volume 59, Number 12 (December 1941)

New Metropolitan Star World Hope, Poem Music Should Speak from the Heart (interview with Sergei Rachmaninoff) How Music Has Helped in My Life (interview with Lionel Barrymore) Yes, We Have Music in Hawaii Historic Musical Friendship: Haydn and Mozart in Their Personal Relations Defense Worker\u27s Magnificent Musical Opportunity: An Editorial Preparedness Leads to Success (interview with Frederick Jagel) Russian Nationalist Composers, Part 4 Christmas Music Through the Ages Facing Your Audience Substitute for the Missed Lesson Memorizing Plan That Works Unifying Piano Study (interview with Ernest Hutcheson) Technic of the Month—Legato Chords (Czerny, Opus 335, No. 28)https://digitalcommons.gardner-webb.edu/etude/1059/thumbnail.jp

A study on performing the Hungarian Rhapsodies in the Liszt tradition

Franz Liszt’s Hungarian Rhapsodies (1851, 1853) have long been among the most popular collections of piano music. They have also long garnered a reputation for “superficial brilliance and effect” which seems to have influenced the way that famous pianists play the works in public. But would a performer immersed in the Liszt tradition have approached them differently? This dissertation aims to promote a re-evaluation of the Hungarian Rhapsodies from this perspective: considering Liszt’s own ideas on music and performance, the writings and recordings of his pupils, and Liszt’s book Des Bohémiens et de leur musique en Hongrie (1859)