scholarly journals Design and Application of the BiVib Audio-Tactile Piano Sample Library

2019 ◽  
Vol 9 (5) ◽  
pp. 914 ◽  
Author(s):  
Stefano Papetti ◽  
Federico Avanzini ◽  
Federico Fontana
Keyword(s):  
Vibration Analysis ◽  
Sound Intensity ◽  
Measurement Equipment ◽  
Calibration Data ◽  
Accurate Data ◽  
Piano Performance ◽  
Vibration Acceleration ◽  
Multimodal Feedback ◽  
Experiential Effects ◽  
Physical Quantities

A library of piano samples composed of binaural recordings and keyboard vibrations has been built, with the aim of sharing accurate data that in recent years have successfully advanced the knowledge on several aspects about the musical keyboard and its multimodal feedback to the performer. All samples were recorded using calibrated measurement equipment on two Yamaha Disklavier pianos, one grand and one upright model. This paper documents the sample acquisition procedure, with related calibration data. Then, for sound and vibration analysis, it is shown how physical quantities such as sound intensity and vibration acceleration can be inferred from the recorded samples. Finally, the paper describes how the samples can be used to correctly reproduce binaural sound and keyboard vibrations. The library has potential to support experimental research about the psycho-physical, cognitive and experiential effects caused by the keyboard’s multimodal feedback in musicians and other users, or, outside the laboratory, to enable an immersive personal piano performance.

scholarly journals Exhausting repetitive piano tasks lead to local forearm manifestation of muscle fatigue and negatively affect musical parameters

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Etienne Goubault ◽  
Felipe Verdugo ◽  
Justine Pelletier ◽  
Caroline Traube ◽  
Mickaël Begon ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Sound Intensity ◽  
Musical Performance ◽  
Fundamental Aspect ◽  
Central Feature ◽  
Median Frequency ◽  
Piano Performance ◽  
Bipolar Electrodes ◽  
Right Hand ◽  
Extensor Muscles

AbstractMuscle fatigue is considered as a risk factor for developing playing-related muscular disorders among professional pianists and could affect musical performance. This study investigated in 50 pianists the effect of fatiguing repetitive piano sequences on the development of forearm muscle fatigue and on piano performance parameters. Results showed signs of myoelectric manifestation of fatigue in the 42-electromyographic bipolar electrodes positioned on the forearm to record finger and wrist flexor and extensor muscles, through a significant non-constant decrease of instantaneous median frequency during two repetitive Digital (right-hand 16-tones sequence) and Chord (right-hand chords sequence) excerpts, with extensor muscles showing greater signs of fatigue than flexor muscles. In addition, muscle fatigue negatively affected key velocity, a central feature of piano sound intensity, in both Digital and Chord excerpts, and note-events, a fundamental aspect of musicians’ performance parameter, in the Chord excerpt only. This result highlights that muscle fatigue may alter differently pianists’ musical performance according to the characteristics of the piece played.

The Use of Multimodal Feedback in Retraining Complex Technical Skills of Piano Performance

2005 ◽  
Vol 20 (2) ◽  
pp. 82-88
Author(s):  
Kathleen Riley ◽  
Edgar E Coons ◽  
David Marcarian
Keyword(s):  
Video Recording ◽  
Physical Injury ◽  
Multimodal Approach ◽  
Piano Performance ◽  
Improve Technique ◽  
Multimodal Feedback ◽  
Piano Students ◽  
Muscle Balance ◽  
Accuracy Increase ◽  
Muscle Actions

Piano students working to improve technique often practice the same passage over and over to achieve accuracy, increase speed, or perfect interpretive nuance. However, without proper skeletal alignment of hands, arms, and shoulders and balance between the muscles involved, such repetition may lead to difficulties with, rather than mastery of, technique and stylistic interpretation and even physical injury. A variety of technologies have been developed to monitor skeletal alignment and muscle balance that serve to help students and teachers make needed corrections during performance by providing immediate biofeedback. This paper describes and illustrates a multimodal use of these biofeedback technologies and the powerful advantages of such a multimodal approach in making the student and teacher not only aware of improper alignments and balances in real time (or for later review) but also aware of approaches to correct them and improve musical outcome. The modalities consist of hearing playback through a Disklavier piano; simultaneous visual feedback displayed as a piano roll screen of what was played; video recording synchronized with the Disklavier and piano roll feedback; motion analysis of the arms, hands, and fingers; and electromyographic recordings of the muscle actions involved.

scholarly journals Determination of Bearing Quality Using Frequency Vibration Analysis

2021 ◽  
Vol 71 (2) ◽  
pp. 343-350
Author(s):  
Žiaran Stanislav ◽  
Chlebo Ondrej ◽  
Šooš Ľubomír
Keyword(s):  
Frequency Distribution ◽  
Vibration Analysis ◽  
Time History ◽  
Acoustic Energy ◽  
Frequency Range ◽  
Vibration Acceleration ◽  
Maximum Acceleration ◽  
Required Quality

Abstract The paper proposes two methods for determining the quality of industrially manufactured bearings, where the vibro-acoustic energy is expressed by measuring the vibration acceleration. The determined criteria were verified and 100 % agreement was reached in determining the required quality of the bearings. Unwanted bearing noise emissions and its faults can be monitored over the maximum acceleration value determined from the time history, the frequency distribution and the r.m.s. value of the determined frequency range.

Creativity and variability in skilled piano performance: A case study

2001 ◽  
Author(s):  
Roger Chaffin ◽  
Anthony Lemieux ◽  
Emilee Yurgeles ◽  
Gabriela Imreh
Keyword(s):  
Piano Performance

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

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