• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.334-336
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• 2007

This paper presents a beat gesture recognition method to synchronize the tempo of a robot playing a piano with the desired tempo of the user. To detect an unstructured beat gesture expressed by any part of a body, we apply an optical flow method, and obtain the trajectories of the center of gravity and normalized central moments of moving objects in images. The period of a beat gesture is estimated from the results of the fast Fourier transform. In addition, we also apply a motion control method by which robotic fingers are trained to follow a set of trajectories, Since the ability to track the trajectories influences the sound a piano generates, we adopt an iterative learning control method to reduce the tracking error.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1296-1306
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• 2014

Recently there are many attempts that IT convergence has been studied together with very different sector like art and music. If it is possible to make a formal model with combination of engineering with strong creative sector like music, there will be some advantages to analyze its contents easily. In this study, the model has been provided to utilize music analysis and compose algorithm through the formal model research of Sonata. To this end, this study has been provided a formal model of Sonata with the Petri net model being widely used and verify the effectiveness of the proposed model on the case of Piano Sonata K. 332.

• The Korean Journal of Pharmacology
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• v.31 no.3
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• pp.279-284
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• 1995

The aim of the present study was to know whether exogenously administered nitric oxide (NO) may differently modulate muscle mechanics between heart and aorta. We used PIANO method to generate NO. In isolated rat atrial tissues, neither heart rate nor contractility was affected by PIANO $(STZ,\;30{\sim}100\;{\mu}M)$. Only high concentration $(100\;{\mu}M)$ of 8-bromo cyclic GMP slightly depressed cardiac contractility. However, the same concentrations of 8-Br cGMP and PIANO significantly relaxed the rat thoracic aorta contracted with phenylephrine $(0.1\;{\mu}M)$. In isolated rabbit cardiac atrial myocytes, the amplitude of calcium currents were decreased in the whole voltage range by the presence of streptozotocin, which was further potentiated by UV light. Calcium currents were also decreased in those preparations treated with bradykinin, nitroprusside and 8-Br cGMP. These findings suggest that exogenous NO may modulate calcium current in cardiac myocyte. However, it remains why this does not affect myocardial contractility and heart rate. We concluded that NO may differently regulate calcium signal between aorta and heart muscle.

• The Journal of the Acoustical Society of Korea
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• v.42 no.2
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• pp.102-111
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• 2023

Automatic Music Transcription (AMT) is a task that detects and recognizes musical note events from a given audio recording. In this paper, we focus on reducing the latency of real-time AMT systems on piano music. Although neural AMT models have been adapted for real-time piano transcription, they suffer from high latency, which hinders their usefulness in interactive scenarios. To tackle this issue, we explore several techniques for reducing the intrinsic latency of a neural network for piano transcription, including reducing window and hop sizes of Fast Fourier Transformation (FFT), modifying convolutional layer's kernel size, and shifting the label in the time-axis to train the model to predict onset earlier. Our experiments demonstrate that combining these approaches can lower latency while maintaining high transcription accuracy. Specifically, our modified model achieved note F1 scores of 92.67 % and 90.51 % with latencies of 96 ms and 64 ms, respectively, compared to the baseline model's note F1 score of 93.43 % with a latency of 160 ms. This methodology has potential for training AMT models for various interactive scenarios, including providing real-time feedback for piano education.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.46 no.4
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• pp.235-239
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• 2020

Objectives: Preoperative nervousness and anxiety are frequently encountered by individuals who undergo extractions of impacted wisdom teeth. The aim of the present study is to evaluate salivary alpha amylase (sAA) level in patients for assessment of stress during third molar surgery while listening to piano music and to determine its co-relation with pain catastrophizing scale (PCS). Materials and Methods: Seven patients (four males and three females) indicated for surgical extraction of bilaterally impacted mandibular third molars were included. Pre-surgical patient assessments were completed, and three samples of saliva were collected during surgery-one at baseline, one 30 minutes after commencement of surgery, and one after suturing. Assessment was performed on both sides separately with and without piano music, and the samples were assessed for sAA level and correlated with the patient's self-reported PCS. Results: Statistically significant results were obtained in patients who underwent surgical extraction while listening to piano music (P=0.046). The correlation of sAA level with PCS was not significant. Conclusion: Music demonstrated a beneficial effect on lowering the levels of stress and anxiety that a patient exhibits during any surgical procedure, and sAA can be a useful biomarker for similar assessments.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.219-228
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• 2012

In this paper, we propose a paper keyboard piano implementation using the finger movement detection with the 3D image data from a kinect. Keyboard pattern and keyboard depth information are extracted from the color image and depth image to detect the touch event on the paper keyboard and to identify the touched key. Hand region detection error is unavoidable when using the simple comparison method between input depth image and background depth image, and this error is critical in key touch detection. Skin color is used to minimize the error. And finger tips are detected using contour detection with area limit and convex hull. Finally decision of key touch is carried out with the keyboard pattern information at the finger tip position. The experimental results showed that the proposed method can detect key touch with high accuracy. Paper keyboard piano can be utilized for the easy and convenient interface for the beginner to learn playing piano with the PC-based learning software.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.191-201
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• 2023

As Edutech arises which is integrating IT technology into education, many related attempts have been tried on music education area. The focus has been shifted from the teachers to the learners, and this makes the personalized learning emerge. The learner's proficiency is an essential factor to support the personalized learning. The chord fingering is an important technique in piano learning. In this paper, a personalized learning tool for piano chords has been suggested. And then, several utilization ways have been described by analyzing the chords patterns. Specifically, the difficulty of the chords and the proficiency of the learner are derived from the accumulated practicing log data of the users. More effective learning way of the chords has been presented through hierarchical clustering based on chords similarity. Furthermore, the suggested approach where only the practicing log data are used lessens the learner's burden to measure the proficiency and the chord's difficulty without additional efforts like taking tests.

• Structural Engineering and Mechanics
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• v.17 no.3_4
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• pp.291-302
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• 2004

In this paper, load monitoring technologies using U-shape Magnetoelastic (EM or ME) sensors have been exploited systemically for the first time. The steel rod to be tested is the Japan 7 mm piano steel rod. The load dependence of the magnetic properties of the piano steel rod was manifested. Two experimental designs of U-shape magnetoelastic sensors were introduced, one with double pick-up concentric coils wound on the rod to be tested, the other with pick-up coil on one yoke foot. The former design is used to derive the correlation of the relative permeability with elastic tension, while the latter is aimed to reflect the stress induced magnetic flux variation along the magnetic circuit. Magnetostatic simulations provide interpretations for the yoke foot sensing technology. Tests with double pick-up coils indicate that under proper working points (primary voltages), the relative permeability varies linearly with the axial load for the Japan 7 mm piano steel rod. Tests with pick-up coil on the yoke foot show that the integrated sensing voltage changes quadratically with the load, and error is more acceptable when the working point is high enough.

• The Journal of the Acoustical Society of Korea
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• v.19 no.3
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• pp.86-91
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• 2000

In this paper, we will discuss the characteristics of the magnitude and the phase of the piano sound in frequency domain by using the FFT(Fast Fourier Transform). The method deciding the parameters representing those sounds through the mathematical model is described. We used the curve fitting method for the modeling of the harmonic part of the sound including the fundamental frequency in order to minimize the errors between original sounds and modeled sounds. furthermore, we used the line segment approximation method for the modeling of the noise part around fundamental frequency. We also applied the same method for the phase model and could get the modeled sound to be similar to the original sound using the parameters. Therefore the high compression ratio comparing the modeled sound to the original sound is achieved.

• Water for future
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• v.45 no.7
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• pp.23-33
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• 2012