• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.361-364
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• 2022

This study was carried out for the purpose of Exploring the types of AI platforms for creative activities and how to use them. In order to learn AI in the fields of art creation and music creation, which are representative areas of creative activity, types of AI platforms that can experience AI and perform simple programming were investigated. In addition, the utilization plan was presented so that each AI platform can be used to express students' ideas abundantly and to enhance their creativity. Through this, it is meaningful to suggest that the AI platform can be used as a teaching aid to enhance students' expressive power and creativity in creative activities.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.544-545
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• 2023

최근 화제인 가상 아이돌의 춤 제작에 많은 자원 및 비용이 발생한다. 만일 춤을 자동으로 생성해 3D 모델에 피팅하면 이러한 비용을 줄일 수 있으며, 다양하고 복잡한 춤의 구현도 가능할 것이다. 또한, 댄스 게임을 통해 춤을 배우고 즐기는 사람들이 많지만, 경험할 수 있는 춤이 한정적이며, 모션 인식 정확도가 낮다는 단점이 있다. 따라서 본 논문에서는 트랜스포머 구조의 인공지능 모델을 통해 음악에 어울리는 3D 춤 모션을 자동으로 생성하고, 3D 자세 추정 모델을 사용해 사용자의 모션을 추정한 후, 두 모션의 유사도를 랜드마크 3D 좌표로 계산하여 판정하고자 한다. 이는 1 인 댄스 룸 또는 댄스 게임에 활용되어 발전 가능하다.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.445-451
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• 2016

This paper introduces a postprocessing method, an iteration method for melody, and an average neural network method for learning a large number of songs in order to improve musically insufficient parts in automatic composition using existing artificial neural network. The melody of songs composed by artificial neural networks is produced according to the melodies of trained songs, so it can not be a specific tonality and it is difficult to have a repetitive composition. In order to solve these problems, we propose a postprocessing method that converts the melody composed by artificial neural networks into a melody having a specific tonality according to music theory and an iteration method for melody by iteratively composing measure divisions of artificial neural networks. In addition, the existing training method of many songs has some disadvantages. To solve this problem, we adopt an average neural network that is made by averaging the weights of artificial neural networks trained each song. From some experiments, it was confirmed that the proposed method solves the existing problems.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.15-16
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• 2014

본 논문은 음악 치료 전문가들로부터 수집한 음악 치료 프로그램에 관한 지식과 규칙을 수집하여 구성된 전문가 시스템을 도입하여 자동으로 우울증 환자를 위한 추천 음악 치료 시스템을 설계하는 것을 목표로 한다. 제안한 시스템은 음악 치료 전문가들로부터 수집한 수많은 음악 치료 프로그램 중 뇌파 측정을 통해 환자에게 가장 효과적인 치료 프로그램을 선별하고 환자에게 제공하여 치료 효과를 극대화하는 것을 목표로 한다. 제안 시스템은 우울증 환자들의 치료를 위해 뇌파 측정을 입력 받아 분석하여 환자의 증상을 완화하고 치료 효과가 가장 좋은 음악 치료 프로그램을 선별하기 위해 인공 지능 기술들인 전문가 시스템(Expert System) 기법에 기반 한 음악 치료 시스템을 설계하고 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.45-52
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• 2020

In this paper, we propose an intention to study the purchase of smart music by Chinese consumers. To study the influence of the originality and usefulness of intelligent music products on the purchase intention of Chinese consumers, and to explore how the originality and usefulness of intelligent music products affect the purchase intention. To achieve this goal, 372 questionnaires were collected through the Internet for frequency analysis, factor analysis, confidence analysis and structural equation analysis of data collection, and were carried out by SPSSV22.0 and AMOSV22.0 methods. Research the validation of assumptions in the model to reveal the psychological and behavioral responses of consumers to smart music products. The results show that the originality and usefulness of new products not only directly affect the purchase intention of Chinese consumers, but also indirectly affect their purchase intention by enhancing their attractiveness. The conclusion of this study is of guiding significance for the development of intelligent music product development and marketing strategy.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.6
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• pp.239-248
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• 2018

Many new technologies are studied with the arrival of the 4th industrial revolution. In particular, emotional intelligence is one of the popular issues. Researchers are focused on emotional analysis studies for music services, based on artificial intelligence and pattern recognition. However, they do not consider how we recommend proper music according to the specific emotion of the user. This is the practical issue for music-related IoT applications. Thus, in this paper, we propose an probability-based music emotion classification technique that makes it possible to classify music with high precision based on the range of emotion, when developing music related services. For user emotion recognition, one of the popular emotional model, Russell model, is referenced. For the features of music, the average amplitude, peak-average, the number of wavelength, average wavelength, and beats per minute were extracted. Multiple regressions were derived using regression analysis based on the collected data, and probability-based emotion classification was carried out. In our 2 different experiments, the emotion matching rate shows 70.94% and 86.21% by the proposed technique, and 66.83% and 76.85% by the survey participants. From the experiment, the proposed technique generates improved results for music classification.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.476-479
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• 2020

본 논문은 전기 자극 장치에 관한 것으로서, 운동상황에 맞게 인공지능 기능이 음악을 선별해 주고 음악의 BPM(beats per minute)에 맞게 전기 자극 장치에서의 PWM(pulse width modulation)신호가 동기화 되어 재활 기능과 더불어 헬스 케어와 관련된 추가적인 기능 및 효과를 제공할 수 있는 개선된 전기 자극 장치에 관한 것이다. 언제 어디서나 간편하게 셀프 운동케어와 할 수 있도록 AR기술을 이용한 카메라가 있는 디지털 디바이스를 활용하며, 해당 신체의 운동부위를 지정하게 되면 이에 맞는 운동방법을 AI기술을 이용하여 적용할 수 있다. 수행자가 잘못 운동을 하는 것을 올바르게 개선시키기 위하여 실시간 AI 음성기능과 텍스트 코칭을 통해서 올바르게 운동할 수 있게 제안하며, 이에 대한 과정과 결과를 시각적으로 보여주면, 결과에 대해서는 리포팅을 하여 사용자가 올바르게 운동을 하고 효과적으로 운동을 했는지에 대해서 정량적인 수치의 운동횟수와 운동량에 대해서 표현해준다.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.75-82
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• 2018

With the development of information and communication technology, various methods have been tried to provide learners with a fun educational environment through fun and interest. It is a good example to utilize technologies such as games and robots in education for edutainment and game-based learning. In this study, we propose an intelligent rhythm education system using user data collection and analysis for humanoid robot rhythm generation. To do this, the user selects music and inputs rhythm information according to the selected music. The robot utilization data of this user extracts patterns through collection and analysis. Patterns are based on frequency, and FFT similarity comparison method is applied when past data is insufficient. The proposed method is validated through experiments of kindergarten children.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.1-9
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• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.41-46
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• 2022

Smart home in the Internet of Things (IoT) environment aims to provide an optimal living environment for users by connecting all devices in the home. In such a smart home environment, artificial intelligence speakers are being used as a way to manage and control all devices. The existing speaker function is changing from simple music playback to the role of an interface that controls and manages all devices in the smart home space. This study dealt with the market status and usability analysis in the US and Korea, the leader in artificial intelligence speakers. The main target companies were Amazon, Google, and Apple in the US, as well as Kakao, SKT, and KT in Korea. In addition, based on the reaction results of domestic users to artificial intelligence speakers, the derivation of major problems and directions for improvement were described.