• 건강소식
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• v.37 no.12
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• pp.40-41
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• 2013

우리의 삶을 풍요롭게 하는 음악. 실제로 남녀노소를 막론하고 악기로 음악을 연주하면 정신적인 안정을 얻을 수 있는 것은 물론, 사고능력이 개선되고 심폐능력이 강화되는 효과까지 있다고 한다.

• Information Systems Review
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• v.2 no.2
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• pp.217-229
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• 2000

• Journal of Music and Human Behavior
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• v.13 no.1
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• pp.19-40
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• 2016

This study provides numerical data on the status of music therapy practices in 54 hospice and palliative care settings in Korea. Two different questionnaires for music therapists and coordinators were sent to 54 coordinators via email, and 47 (87%) hospitals and centers replied by email or post. The survey period was October 30 through December 5, 2014. Music therapists were asked to respond to 65 questionnaire items regarding working conditions, environment, session process, and personal competence. Coordinators were asked to complete 28 questionnaire items regarding the status of music therapy in their perspective setting. Twenty-two (46.8%) hospitals and centers were running music therapy programs with 28 music therapists, and 19 (67.9%) of these music therapists majored in music therapy. There was a significant difference between music therapists (M= 3.43, SD = 0.96) and coordinators (M= 2.73, SD = 0.77) regarding conditions and environment of music therapy sessions (p < .05). The circumstances and conditions for music therapy are inad quate for optimal implementation of music therapy practice. However, the perceived benefits of music therapy by coordinators suggest that music therapists do play an important role in hospice and palliative care. This research provides the first quantitative baseline data of music therapy status in hospice and palliative care settings in Korea.

• 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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• 2017.04a
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• pp.1112-1114
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• 2017

본 논문은 감정변화와 관련이 높다고 알려져 있는 생체정보인 뇌파(EEG), 심전도(ECG), 심박변이도(HRV)를 바탕으로 사용자의 감정상태를 추론하여 치유음악을 추천해주는 시스템을 제안한다. 사용자의 생체정보를 기반으로 사용자의 감정상태를 평온, 집중, 긴장, 우울의 4가지 단계로 분류하는 감성추론 시스템을 설계하고, 각각의 감정상태에 따라 적절한 카테고리의 음악을 추천함으로써 사용자의 스트레스 정도를 완화시키고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.827-830
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• 2002

90년대 말부터 출시되어온 MP3CD Player들은 일반 음악 CD들이 10 여곡에서 많게는 20 여곡 정도의 분량을 가지고 있는것에 비해 MP3 포멧의 음악 CD 가 그 분량이 최고 100 여곡 이상임에도 불구하고 기존의 일반 음악 CD Player의 UI를 소극적으로 수정, 변경하여 사용하고 있는 상황이다. 본 연구는 자체적인 곡 분류방법을 제시하고 있는 'H'사의 MP3CD Player 를 선정하여 이를 기준으로 기능 및 정보 구조를 분석하고 사용성 평가를 위한 사용자를 선별하여 초기 디자인에 참여시켜 사용자 중심 디자인을 극대화 시키는 방법을 모색하였다. 또한 기 제품의 최초 기능 분석시에는 카드인덱스(Card Index)방식을 이용하여 기능을 그룹핑하고 인터페이스를 개선하였으며 이를 토대로 프로토타입을 완성하였다. 이를 사용자가 직접 조작하는 방식을 관찰 분석하여 평가 결과를 토대로 UI 디자인 가이드라인을 제시하였다.

• Journal of IKEEE
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• v.13 no.2
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• pp.159-166
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• 2009

So far, many researches have been done to retrieve music information using static classification descriptors such as genre and mood. Since static classification descriptors are based on diverse content-based musical features, they are effective in retrieving similar music in terms of such features. However, human emotion or mood transition triggered by music enables more effective and sophisticated query in music retrieval. So far, few works have been done to evaluate the effect of human mood transition by music. Using formal representation of such mood transitions, we can provide personalized service more effectively in the new applications such as music recommendation. In this paper, we first propose our Emotion State Transition Model (ESTM) for describing human mood transition by music and then describe a music classification and recommendation scheme based on the ESTM. In the experiment, diverse content-based features were extracted from music clips, dimensionally reduced by NMF (Non-negative Matrix Factorization, and classified by SVM (Support Vector Machine). In the performance analysis, we achieved average accuracy 67.54% and maximum accuracy 87.78%.

• Journal of Music and Human Behavior
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• v.7 no.1
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• pp.1-15
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• 2010

The purpose of this study is to inquire into the theoretical background of music therapy interventions for the improvement of mathematical concepts among young children with special needs. The researcher provides a basis of theoretical background about musical activities as an effective tool for young children to understand and promote their mathematical concepts, and the necessity of practical application in the field of mathematics education is suggested. Music, as a multi-sensory modality, has an ability to hold and maintain one's attention, and can be used as a memory aid and a powerful and effective motivator and reinforcer for young children. Therefore, musical activities can be used to facilitate mathematical concepts in the field of education for young children. Possible musical activities for promoting mathematical development are suggested, and the necessity for developing various musical activities is discussed.

• Journal of Korea Game Society
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• v.17 no.3
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• pp.45-52
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• 2017

This paper proposes a new strategy of emotion-based music visualization. Emotional LED lighting control system is suggested to help audiences enhance the musical experience. In the system, emotion in music is recognized by a proposed algorithm using a dimensional approach. The algorithm used a method of music emotion variation detection to overcome some weaknesses of Thayer's model in detecting emotion in a one-second music segment. In addition, IRI color model is combined with Thayer's model to determine LED light colors corresponding to 36 different music emotions. They are represented on LED lighting control system through colors and animations. The accuracy of music emotion visualization achieved to over 60%.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.23-48
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• 2013

This study compared and analyzed 15 CBMR (Content-based Music Retrieval) systems accessible on the web in terms of DB size and type, query type, access point, input and output type, and search functions, with reviewing features of music information and techniques used for transforming or transcribing of music sources, extracting and segmenting melodies, extracting and indexing features of music, and matching algorithms for CBMR systems. Application of text information retrieval techniques such as inverted indexing, N-gram indexing, Boolean search, truncation, keyword and phrase search, normalization, filtering, browsing, exact matching, similarity measure using edit distance, sorting, etc. to enhancing the CBMR; effort for increasing DB size and usability; and problems in extracting melodies, deleting stop notes in queries, and using solfege as pitch information were found as the results of analysis.