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9 pages, 989 KiB  
Proceeding Paper
Motion Capture System in Performance Assessment of Playing Piano: Establishing the Center for Music Performance Science and Musicians’ Medicine in China
by Qing Yang, Chieko Mibu and Yuchi Zhang
Eng. Proc. 2025, 98(1), 28; https://doi.org/10.3390/engproc2025098028 - 1 Jul 2025
Viewed by 387
Abstract
This article introduces China’s first Center for Music Performance Science and Musicians’ Medicine. In the center, motion capture (MoCap) technology is used to study piano performance and musicians’ health. An idea and methodology to assess the performance of piano performance are developed in [...] Read more.
This article introduces China’s first Center for Music Performance Science and Musicians’ Medicine. In the center, motion capture (MoCap) technology is used to study piano performance and musicians’ health. An idea and methodology to assess the performance of piano performance are developed in the center. The center uses high-precision MoCap system to analyze movement efficiency, posture, joint angles, and coordination of pianists. By addressing physical challenges, the center promotes healthier, more efficient practice ways, especially for adolescent piano learners. The pioneering research results bridge the gap between music performance (art) and science, positioning China as a leader in music performance science and musicians’ health. Full article
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17 pages, 244 KiB  
Hypothesis
Proprioceptive Resonance and Multimodal Semiotics: Readiness to Act, Embodied Cognition, and the Dynamics of Meaning
by Marco Sanna
NeuroSci 2025, 6(2), 42; https://doi.org/10.3390/neurosci6020042 - 12 May 2025
Viewed by 1850
Abstract
This paper proposes a theoretical model of meaning-making grounded in proprioceptive awareness and embodied imagination, arguing that human cognition is inherently multimodal, anticipatory, and sensorimotor. Drawing on Peircean semiotics, Lotman’s model of cultural cognition, and current research in neuroscience, we show that readiness [...] Read more.
This paper proposes a theoretical model of meaning-making grounded in proprioceptive awareness and embodied imagination, arguing that human cognition is inherently multimodal, anticipatory, and sensorimotor. Drawing on Peircean semiotics, Lotman’s model of cultural cognition, and current research in neuroscience, we show that readiness to act—a proprioceptively grounded anticipation of movement—plays a fundamental role in the emergence of meaning, from perception to symbolic abstraction. Contrary to traditional approaches that reduce language to a purely symbolic or visual system, we argue that meaning arises through the integration of sensory, motor, and affective processes, structured by axial proprioceptive coordinates (vertical, horizontal, sagittal). Using Peirce’s triadic model of interpretants, we identify proprioception as the modulatory interface between sensory stimuli, emotional response, and logical reasoning. A study on skilled pianists supports this view, showing that mental rehearsal without physical execution improves performance via motor anticipation. We define this process as proprioceptive resonance, a dynamic synchronization of embodied states that enables communication, language acquisition, and social intelligence. This framework allows for a critique of linguistic abstraction and contributes to ongoing debates in semiotics, enactive cognition, and the origin of syntax, challenging the assumption that symbolic thought precedes embodied experience. Full article
(This article belongs to the Topic Language: From Hearing to Speech and Writing)
18 pages, 4086 KiB  
Article
Piezoelectric Energy Harvesting System to Charge Batteries with the Use of a Portable Musical Organ
by Josué Esaú Vega-Ávila, Guillermo Adolfo Anaya-Ruiz, José Joel Román-Godínez, Gabriela Guadalupe Esquivel-Barajas, Jorge Ortiz-Marín, Rogelio Gudiño-Valdez and Hilda Aguilar-Rodríguez
Energies 2025, 18(7), 1850; https://doi.org/10.3390/en18071850 - 6 Apr 2025
Viewed by 845
Abstract
In recent years, the increase in energy demand has been an incentive to search for new ways to generate energy. An alternative is producing this energy from daily human activities. To do this, piezoelectric devices have been used in different human activities to [...] Read more.
In recent years, the increase in energy demand has been an incentive to search for new ways to generate energy. An alternative is producing this energy from daily human activities. To do this, piezoelectric devices have been used in different human activities to collect energy. Some of these potential activities are transportation, biomedicine, and electronic devices. Harvesting energy from the mechanical force applied by a pianist during their performance is one of these activities that can be used. The implementation of piezoelectric devices under the keys of an electric organ was carried out. A theoretical model was developed to estimate the amount of energy we could recover. The system was characterized by controlled forces. The volume generated by the forces was measured via a Musical Instrument Digital Interface (MIDI) using the open-source music production software “LMMS (Linux MultiMedia Studio) 1.2.2 version”. The electric potential difference was measured as a function of the volume generated by the pianist. The voltages generated for different frequencies of the pianist’s rhythm were studied. The efficiency calculated in the mathematical model agreed with that obtained in the implemented system. The study results indicate that the batteries were recharged, which resulted in 53 s of organ operation. Full article
(This article belongs to the Section D2: Electrochem: Batteries, Fuel Cells, Capacitors)
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16 pages, 963 KiB  
Article
“Beyond Quantum Music”—A Pioneering Art and Science Project as a Platform for Building New Instruments and Creating a New Musical Genre
by Sonja Lončar and Andrija Pavlović
Arts 2024, 13(4), 127; https://doi.org/10.3390/arts13040127 - 25 Jul 2024
Cited by 2 | Viewed by 2472 | Correction
Abstract
In this text, we discuss the “Beyond Quantum Music” project, which inspired pianists, composers, researchers, and innovators Sonja Lončar and Andrija Pavlović (LP Duo) to go beyond the boundaries of classical and avant-garde practices to create a new style in composition and performance [...] Read more.
In this text, we discuss the “Beyond Quantum Music” project, which inspired pianists, composers, researchers, and innovators Sonja Lončar and Andrija Pavlović (LP Duo) to go beyond the boundaries of classical and avant-garde practices to create a new style in composition and performance on two unique DUALITY hybrid pianos that they invented and developed to create a new stage design for multimedia concert performances and establish a new musical genre as a platform for future musical expression. “Beyond Quantum Music” is a continuation of the groundbreaking art and science project “Quantum Music”, which began in 2015; we envisioned it as a long-term project. In order to build an experimental dialogue between music and quantum physics, we created the DUALITY Portable Hybrid Piano System. This innovative instrument was essential for expanding the current sound of the classical piano. As a result, new compositions and new piano sounds were produced using various synthesizers and sound samples derived from scientific experiments. The key place for this dialogue between music and science was the Delft University of Technology, the Netherlands, where Andrija Pavlović, as a Kavli artist in residence, and Sonja Lončar, as an expert, spent several months in 2022 collaborating with scientists to compose new music. Later on, we collaborated with the visual artist “Incredible Bob” to develop the idea for the multimedia concert “LP Duo plays Beyond Quantum Music” to be performed at various locations, including the Scientific Institute MedILS Split (Croatia), the Theater Hall JDP Belgrade (Serbia), the Congress Hall TU Delft (the Netherlands), and open-air concerts at the Kaleidoskop Festival (Novi Sad, Serbia) and Ars Electronica Festival in Linz (Austria). Full article
(This article belongs to the Special Issue Applied Musicology and Ethnomusicology)
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14 pages, 5760 KiB  
Article
Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force–Tempo Variations
by Subing Huang, Xiaoyu Guo, Jodie J. Xie, Kelvin Y. S. Lau, Richard Liu, Arthur D. P. Mak, Vincent C. K. Cheung and Rosa H. M. Chan
Sensors 2024, 24(9), 2820; https://doi.org/10.3390/s24092820 - 28 Apr 2024
Cited by 2 | Viewed by 1867
Abstract
Muscle synergy has been widely acknowledged as a possible strategy of neuromotor control, but current research has ignored the potential inhibitory components in muscle synergies. Our study aims to identify and characterize the inhibitory components within motor modules derived from electromyography (EMG), investigate [...] Read more.
Muscle synergy has been widely acknowledged as a possible strategy of neuromotor control, but current research has ignored the potential inhibitory components in muscle synergies. Our study aims to identify and characterize the inhibitory components within motor modules derived from electromyography (EMG), investigate the impact of aging and motor expertise on these components, and better understand the nervous system’s adaptions to varying task demands. We utilized a rectified latent variable model (RLVM) to factorize motor modules with inhibitory components from EMG signals recorded from ten expert pianists when they played scales and pieces at different tempo–force combinations. We found that older participants showed a higher proportion of inhibitory components compared with the younger group. Senior experts had a higher proportion of inhibitory components on the left hand, and most inhibitory components became less negative with increased tempo or decreased force. Our results demonstrated that the inhibitory components in muscle synergies could be shaped by aging and expertise, and also took part in motor control for adapting to different conditions in complex tasks. Full article
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17 pages, 6082 KiB  
Article
A Model of Multi-Finger Coordination in Keystroke Movement
by Jialuo Lin, Baihui Ding, Zilong Song, Zheng Li and Shengchao Li
Sensors 2024, 24(4), 1221; https://doi.org/10.3390/s24041221 - 14 Feb 2024
Viewed by 1811
Abstract
In multi-finger coordinated keystroke actions by professional pianists, movements are precisely regulated by multiple motor neural centers, exhibiting a certain degree of coordination in finger motions. This coordination enhances the flexibility and efficiency of professional pianists’ keystrokes. Research on the coordination of keystrokes [...] Read more.
In multi-finger coordinated keystroke actions by professional pianists, movements are precisely regulated by multiple motor neural centers, exhibiting a certain degree of coordination in finger motions. This coordination enhances the flexibility and efficiency of professional pianists’ keystrokes. Research on the coordination of keystrokes in professional pianists is of great significance for guiding the movements of piano beginners and the motion planning of exoskeleton robots, among other fields. Currently, research on the coordination of multi-finger piano keystroke actions is still in its infancy. Scholars primarily focus on phenomenological analysis and theoretical description, which lack accurate and practical modeling methods. Considering that the tendon of the ring finger is closely connected to adjacent fingers, resulting in limited flexibility in its movement, this study concentrates on coordinated keystrokes involving the middle and ring fingers. A motion measurement platform is constructed, and Leap Motion is used to collect data from 12 professional pianists. A universal model applicable to multiple individuals for multi-finger coordination in keystroke actions based on the backpropagation (BP) neural network is proposed, which is optimized using a genetic algorithm (GA) and a sparrow search algorithm (SSA). The angular rotation of the ring finger’s MCP joint is selected as the model output, while the individual difference information and the angular data of the middle finger’s MCP joint serve as inputs. The individual difference information used in this study includes ring finger length, middle finger length, and years of piano training. The results indicate that the proposed SSA-BP neural network-based model demonstrates superior predictive accuracy, with a root mean square error of 4.8328°. Based on this model, the keystroke motion of the ring finger’s MCP joint can be accurately predicted from the middle finger’s keystroke motion information, offering an evaluative method and scientific guidance for the training of multi-finger coordinated keystrokes in piano learners. Full article
(This article belongs to the Special Issue Optical Instruments and Sensors and Their Applications)
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10 pages, 220 KiB  
Article
Analytical Listening and Aesthetic Experience in Music Criticism
by Srđan Teparić
Arts 2024, 13(1), 34; https://doi.org/10.3390/arts13010034 - 14 Feb 2024
Cited by 1 | Viewed by 2952
Abstract
In this article, I discuss the methodological and contextual aspects of writing music criticism, drawing cues from applied musicology and autoethnography. The challenge for any music critic is the question of the relationship between objective and subjective approaches. I analyze the relationship between [...] Read more.
In this article, I discuss the methodological and contextual aspects of writing music criticism, drawing cues from applied musicology and autoethnography. The challenge for any music critic is the question of the relationship between objective and subjective approaches. I analyze the relationship between analytical listening and aesthetic experience, using the examples of two music reviews of Ivo Pogorelić’s piano recitals that I wrote. The interpretations of this pianist are suitable for the analysis precisely because he is commonly seen as an unconventional, even controversial pianist, and his interpretations of romantic music are often regarded as examples of anti-academicism and even deconstruction of pianistic canons accumulated during the 20th century. Against that term, I will talk about liberation, which is perhaps a more suitable label for Pogorelić’s modernist approach to performance. Full article
(This article belongs to the Special Issue Applied Musicology and Ethnomusicology)
10 pages, 950 KiB  
Essay
From Hellerau to Here: Tracing the Lineage and Influence of Dalcroze Eurhythmics on the Family Tree of Theatre Pedagogy
by Andrew Davidson
Arts 2023, 12(4), 134; https://doi.org/10.3390/arts12040134 - 30 Jun 2023
Viewed by 5282
Abstract
Actor training in Western culture evolved as an oral tradition. Formal education appeared in the late-nineteenth century with the work of Konstantin Stanislavski. Despite its relatively brief history, the family tree of theatre pedagogy now consists of many contrasting branches. Several branches contain [...] Read more.
Actor training in Western culture evolved as an oral tradition. Formal education appeared in the late-nineteenth century with the work of Konstantin Stanislavski. Despite its relatively brief history, the family tree of theatre pedagogy now consists of many contrasting branches. Several branches contain the creative and educational DNA of an approach to Western music education known as Dalcroze Eurhythmics. Emile Jaques-Dalcroze was a Swiss pianist and composer whose work at the Hellerau Institute near Dresden in Germany had a significant impact on the Modernist movements in theatre and dance, 1911–1914. Historical records show that this embodied method of music learning was disseminated by Hellerau graduates in drama schools and theatre companies around the world. This essay traces four branches on the family tree of theatre pedagogy that are directly influenced by Dalcroze Eurhythmics. These branches include the legacies of Stanislavski in Russia; Jacques Copeau and Suzanne Bing in France; Rudolph Laban and Yat Malmgren in Germany and England; and Sanford Meisner and Anne Bogart in the United States of America. This essay is written from the author’s perspective as an actor trainer and music educator in a higher education conservatoire. It offers historical contexts for contemporary pedagogies in actor training. Full article
(This article belongs to the Section Musical Arts and Theatre)
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14 pages, 932 KiB  
Article
Musical Expertise and Executive Functions in Experienced Musicians
by Edoardo Passarotto, Bruno Kopp, André Lee and Eckart Altenmüller
Brain Sci. 2023, 13(6), 908; https://doi.org/10.3390/brainsci13060908 - 4 Jun 2023
Cited by 2 | Viewed by 2843
Abstract
Extensive music practice has been suggested to enhance the development of cognitive abilities over and above musical expertise. Executive functions (EFs) have been particularly investigated, given their generalizability across different domains and their crucial role in almost all aspects of cognition. However, the [...] Read more.
Extensive music practice has been suggested to enhance the development of cognitive abilities over and above musical expertise. Executive functions (EFs) have been particularly investigated, given their generalizability across different domains and their crucial role in almost all aspects of cognition. However, the relationship between musical expertise and EFs is still not completely understood, as several studies have reported conflicting results. The present study aims to investigate the relationship between musical expertise and EFs, determining which facets—if any—of EFs might be particularly relevant to extensive music practice. Thirty-five student pianists completed a set of neuropsychological tasks which assessed EFs (the Trail Making Task, Design Fluency, Numerical Stroop, and the Tower of London). They also performed a short musical excerpt inspired by the piano literature. Musical expertise was assessed by considering three parameters, namely the highest academic degree in music, the lifetime amount of music practice, and the quality of the sample-based musical performance. The results indicate that postgraduate piano students did not show advantages in EFs compared to undergraduate piano students. More extensive lifetime practice in music was solely associated with faster visual reaction times on the Numerical Stroop task. The Trail Making and Design Fluency scores were significant predictors of the quality of the sample-based musical performance. In conclusion, the present data suggests that EFs and the amount of music practice do not seem to be correlated in student pianists. Nevertheless, some facets of EFs and the quality of musical performance may share substantial amounts of variance. Full article
(This article belongs to the Section Behavioral Neuroscience)
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18 pages, 1969 KiB  
Article
The Effect of Practice and Musical Structure on Pianists’ Eye-Hand Span and Visual Monitoring
by Michel A. Cara
J. Eye Mov. Res. 2023, 16(2), 1-18; https://doi.org/10.16910/jemr.16.2.5 - 29 May 2023
Cited by 4 | Viewed by 261
Abstract
This study examines short-term improvement of music performances and oculomotor behaviour during four successive executions of a brief musical piece composed by Bartók, “Slovak Boys’ Dance”. Pianists (n = 22) were allowed to practice for two minutes between each trial. Eye-tracking data were [...] Read more.
This study examines short-term improvement of music performances and oculomotor behaviour during four successive executions of a brief musical piece composed by Bartók, “Slovak Boys’ Dance”. Pianists (n = 22) were allowed to practice for two minutes between each trial. Eye-tracking data were collected as well as MIDI information from pianists’ performances. Cognitive skills were assessed by a spatial memory test and a reading span test. Principal component analysis (PCA) enabled us to distinguish two axes, one associated with anticipation and the other with dependence/independence on written code. The effect of musical structure, determined by the emergence of different sections in the score, was observed in all the dependent variables selected from the PCA; we also observed the effect of practice on the number of fixations, the number of glances at the keyboard (GAK) and the awareness span. Pianist expertise was associated with fewer fixations and GAK, better anticipation capacities and more effective strategies for visual monitoring of motor movements. The significant correlations observed between the reading span test and GAK duration highlight the challenge of working memory involvement during music reading. Full article
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15 pages, 2182 KiB  
Article
Different Music Training Modulates Theta Brain Oscillations Associated with Executive Function
by Junce Wang, Ruijie Xu, Xiaolong Guo, Sijia Guo, Junchen Zhou, Jing Lu and Dezhong Yao
Brain Sci. 2022, 12(10), 1304; https://doi.org/10.3390/brainsci12101304 - 27 Sep 2022
Cited by 5 | Viewed by 3721
Abstract
Different music training involves different hand coordination levels and may have a significant influence on brain oscillation for the executive function. However, few research has focused on the plasticity of executive function and the brain oscillation modulated by different musical instrument training modules. [...] Read more.
Different music training involves different hand coordination levels and may have a significant influence on brain oscillation for the executive function. However, few research has focused on the plasticity of executive function and the brain oscillation modulated by different musical instrument training modules. In this study, we recruited 18 string musicians, 20 pianists, and 19 non-musicians to perform a bimanual key pressing task during EEG recording. Behavioral results revealed that pianists have the highest accuracy and the shortest response time, followed by string musicians and non-musicians (p < 0.05). Time-frequency analyses of EEG revealed that pianists generated significantly greater theta power than the other groups from 500 ms to 800 ms post-stimulus in mid-central, frontal brain areas, and motor control areas. Functional connectivity analyses found that the pianists showed significantly greater connectivity in the frontal-parietal area in theta band based on phase-locking value analysis, which suggests that piano training improves executive function and enhances the connectivity between prefrontal and mid-central regions. These findings contribute to a better understanding of the effects of different music training on executive function. Full article
(This article belongs to the Special Issue Neural Basis of Executive Control)
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9 pages, 1007 KiB  
Article
The Impact of Piano Styles on Muscle Force in Pianist Students
by Iulia Toma, Elena Amaricai, Roxana Ramona Onofrei and Mihai Popean
Symmetry 2022, 14(9), 1927; https://doi.org/10.3390/sym14091927 - 15 Sep 2022
Cited by 1 | Viewed by 2310
Abstract
The study of the consequences of different sonata styles (baroque, classical and romantic piano repertoire) on pianists’ upper limbs represents a research topic for both the musical and medical fields. Twenty piano students were examined using a MicroFet2 dynamometer after playing three sonatas [...] Read more.
The study of the consequences of different sonata styles (baroque, classical and romantic piano repertoire) on pianists’ upper limbs represents a research topic for both the musical and medical fields. Twenty piano students were examined using a MicroFet2 dynamometer after playing three sonatas (Scarlatti K. 1 Sonata as a representative of the baroque style, Haydn Sonata no. 60 for the classical style and Chopin second Sonata for the romantic style). The phase sequence was randomised for each subject: firstly, continuous interpretation of 10 bars of a sonata was conducted 10 times, with the metronome tempo set by the investigator; secondly, the subject interpreted 10 bars of a different sonata continuously, standardised by tempo, which was carried out 10 times; finally, the continuous interpretation of 10 bars of the remaining third sonata, standardised by tempo, was carried out 10 times. After each performance of the 10 bars, the elbow extensor’s isometric muscle force was measured. Significant differences were found between the elbow extensor’s isometric muscle force assessed after playing Scarlatti’s sonata and Haydn’s sonata (p = 0.005 for left arm, p = 0.03 for right arm), between Scarlatti’s sonata and Chopin’s sonata (p < 0.0001 for both left and right arms) and between Haydn’s sonata and Chopin’s sonata (p = 0.01 for left arm, p < 0.0001 for right arm). In healthy piano students, the dynamometric assessment of elbow extensors’ isometric muscle force after playing three different sonatas (baroque, classical and romantic) showed that the lowest values were recorded after playing the baroque style. Our results showed bilateral symmetry in the elbow extensor’s isometric muscle force for all three piano styles. The testing of arm muscles, besides that of the fingers, should be considered as a regular evaluation for future professional pianists with regard to the prevention of musculoskeletal complaints. Full article
(This article belongs to the Special Issue Symmetry/Asymmetry in Musculoskeletal Science)
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11 pages, 2001 KiB  
Article
Noncontact and High-Precision Sensing System for Piano Keys Identified Fingerprints of Virtuosity
by Takanori Oku and Shinichi Furuya
Sensors 2022, 22(13), 4891; https://doi.org/10.3390/s22134891 - 29 Jun 2022
Cited by 7 | Viewed by 4304
Abstract
Dexterous tool use is typically characterized by fast and precise motions performed by multiple fingers. One representative task is piano playing, which involves fast performance of a sequence of complex motions with high spatiotemporal precision. However, for several decades, a lack of contactless [...] Read more.
Dexterous tool use is typically characterized by fast and precise motions performed by multiple fingers. One representative task is piano playing, which involves fast performance of a sequence of complex motions with high spatiotemporal precision. However, for several decades, a lack of contactless sensing technologies that are capable of precision measurement of piano key motions has been a bottleneck for unveiling how such an outstanding skill is cultivated. Here, we developed a novel sensing system that can record the vertical position of all piano keys with a time resolution of 1 ms and a spatial resolution of 0.01 mm in a noncontact manner. Using this system, we recorded the piano key motions while 49 pianists played a complex sequence of tones that required both individuated and coordinated finger movements to be performed as fast and accurately as possible. Penalized regression using various feature variables of the key motions identified distinct characteristics of the key-depressing and key-releasing motions in relation to the speed and accuracy of the performance. For the maximum rate of the keystrokes, individual differences across the pianists were associated with the peak key descending velocity, the key depression duration, and key-lift timing. For the timing error of the keystrokes, the interindividual differences were associated with the peak ascending velocity of the key and the inter-strike variability of both the peak key descending velocity and the key depression duration. These results highlight the importance of dexterous control of the vertical motions of the keys for fast and accurate piano performance. Full article
(This article belongs to the Topic Human Movement Analysis)
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15 pages, 26911 KiB  
Article
Audio-Visual Tensor Fusion Network for Piano Player Posture Classification
by So-Hyun Park and Young-Ho Park
Appl. Sci. 2020, 10(19), 6857; https://doi.org/10.3390/app10196857 - 29 Sep 2020
Cited by 7 | Viewed by 3961
Abstract
Playing the piano in the correct position is important because the correct position helps to produce good sound and prevents injuries. Many studies have been conducted in the field of piano playing posture recognition that combines various techniques. Most of these techniques are [...] Read more.
Playing the piano in the correct position is important because the correct position helps to produce good sound and prevents injuries. Many studies have been conducted in the field of piano playing posture recognition that combines various techniques. Most of these techniques are based on analyzing visual information. However, in the piano education field, it is essential to utilize audio information in addition to visual information due to the deep relationship between posture and sound. In this paper, we propose an audio-visual tensor fusion network (simply, AV-TFN) for piano performance posture classification. Unlike existing studies that used only visual information, the proposed method uses audio information to improve the accuracy in classifying the postures of professional and amateur pianists. For this, we first introduce a dataset called C3Pap (Classic piano performance postures of amateur and professionals) that contains actual piano performance videos in diverse environments. Furthermore, we propose a data structure that represents audio-visual information. The proposed data structure represents audio information on the color scale and visual information on the black and white scale for representing relativeness between them. We call this data structure an audio-visual tensor. Finally, we compare the performance of the proposed method with state-of-the-art approaches: VN (Visual Network), AN (Audio Network), AVN (Audio-Visual Network) with concatenation and attention techniques. The experiment results demonstrate that AV-TFN outperforms existing studies and, thus, can be effectively used in the classification of piano playing postures. Full article
(This article belongs to the Collection Big Data Analysis and Visualization Ⅱ)
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17 pages, 2914 KiB  
Article
On the Better Performance of Pianists with Motor Imagery-Based Brain-Computer Interface Systems
by José-Vicente Riquelme-Ros, Germán Rodríguez-Bermúdez, Ignacio Rodríguez-Rodríguez, José-Víctor Rodríguez and José-María Molina-García-Pardo
Sensors 2020, 20(16), 4452; https://doi.org/10.3390/s20164452 - 10 Aug 2020
Cited by 21 | Viewed by 5265
Abstract
Motor imagery (MI)-based brain-computer interface (BCI) systems detect electrical brain activity patterns through electroencephalogram (EEG) signals to forecast user intention while performing movement imagination tasks. As the microscopic details of individuals’ brains are directly shaped by their rich experiences, musicians can develop certain [...] Read more.
Motor imagery (MI)-based brain-computer interface (BCI) systems detect electrical brain activity patterns through electroencephalogram (EEG) signals to forecast user intention while performing movement imagination tasks. As the microscopic details of individuals’ brains are directly shaped by their rich experiences, musicians can develop certain neurological characteristics, such as improved brain plasticity, following extensive musical training. Specifically, the advanced bimanual motor coordination that pianists exhibit means that they may interact more effectively with BCI systems than their non-musically trained counterparts; this could lead to personalized BCI strategies according to the users’ previously detected skills. This work assessed the performance of pianists as they interacted with an MI-based BCI system and compared it with that of a control group. The Common Spatial Patterns (CSP) and Linear Discriminant Analysis (LDA) machine learning algorithms were applied to the EEG signals for feature extraction and classification, respectively. The results revealed that the pianists achieved a higher level of BCI control by means of MI during the final trial (74.69%) compared to the control group (63.13%). The outcome indicates that musical training could enhance the performance of individuals using BCI systems. Full article
(This article belongs to the Special Issue Sensor Signal and Information Processing III)
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