• Physical Therapy Rehabilitation Science
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• v.10 no.1
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• pp.48-54
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• 2021

Objective: The purpose of this study is to investigate the effect of exercise programs according to various music tempo on pain, posture, and function of automobile parts manufacturing workers. Design: Two-group pretest-posttest design. Methods: This study was an exercise program tailored to the prevention and treatment of musculoskeletal diseases were performed for a total of 4 weeks and 3 times a week for 60 minutes. The exercise program consisted of customized exercises according to the characteristics of the subject's musculoskeletal system. The subject provided music during the exercise program, and the group who applied the fast tempo music listened to the music of 120~140 bpm, and the group who applied the slow tempo music listened to the music of the low tempo of 60~80 bpm. Results: Significant differences were found in pain and physical function before and after the fast tempo music group and the slow tempo music group (p<0.01). However, there was a significant difference in posture characteristics only in the fast tempo music group (p<0.01). In terms of pain, physical function, and posture characteristics, the fast tempo music group showed significant improvement compared to the slow music tempo group (p<0.05). Conclusions: A customized exercise program using fast-tempo music and slow-tempo music to workers in the automobile parts manufacturing industry, significant differences in pain, physical function, and posture characteristics applied with fast-tempo music were found. In the future, applying an exercise program with a fast tempo is expected to help improve musculoskeletal disorders.

• The Journal of Korean Academy of Sensory Integration
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• v.3 no.1
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• pp.57-65
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• 2005

Objective : The purpose of this study was to investigate the effect of sensory stimulation for static balance on normal children. Sensory input was consisted of colors, and music tempo stimulation. Methods : Participants were consisted of 20 normal kindergarten children ranging in age from six to seven years. The static balance was tested by a BPM(Balance Performance Monitor). In this study one-way ANOVA was used and the statistical significance level of results was determined at 0.05. Results : 1. According to color stimulation, there was no significant difference in static balance among red, yellow, green(p>0.05). 2. According to music tempo stimulation, there was no significant difference in static balance, among the high music tempo and low music tempo children in a general environment(p>0.05). 3. However, both green color and low music tempo stimulation have a little effect on static balance on normal children. Conclusion : These results indicate the possibility that the application method of green color and low music tempo stimulation may help in the improvement of static balance for the disabled children. This study will be used as the foundational data of therapeutic environment for the disabled children.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4E
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• pp.141-149
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• 2003

As music of digital form has been widely used, many people have been interested in the automatic extraction of natural information of music itself, such as key of a music, chord progression, melody progression, tempo, etc. Although some studies have been tried, consistent and reliable results of musical information extraction had not been achieved. In this paper, we propose a method to extract chord and tempo information from general polyphonic music signals. Chord can be expressed by combination of some musical notes and those notes also consist of some frequency components individually. Thus, it is necessary to analyze the frequency components included in musical signal for the extraction of chord information. In this study, we utilize a sinusoidal modeling, which uses sinusoids corresponding to frequencies of musical tones, and show reliable chord extraction results of sinusoidal modeling. We could also find that the tempo of music, which is the one of remarkable feature of music signal, interactively supports the chord extraction idea, if used together. The proposed scheme of musical feature extraction is able to be used in many application fields, such as digital music services using queries of musical features, the operation of music database, and music players mounting chord displaying function, etc.

• ETRI Journal
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• v.43 no.6
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• pp.1081-1092
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• 2021

Electroencephalography (EEG) recordings taken during the perception of music tempo contain information that estimates the tempo of a music piece. If information about this tempo stimulus in EEG recordings can be extracted and classified, it can be effectively used to construct a music-based brain-computer interface. This study proposes a novel convolutional recurrent attention model (CRAM) to extract and classify features corresponding to tempo stimuli from EEG recordings of listeners who listened with concentration to the tempo of musics. The proposed CRAM is composed of six modules, namely, network inputs, two-dimensional convolutional bidirectional gated recurrent unit-based sample encoder, sample-level intuitive attention, segment encoder, segment-level intuitive attention, and softmax layer, to effectively model spatiotemporal features and improve the classification accuracy of tempo stimuli. To evaluate the proposed method's performance, we conducted experiments on two benchmark datasets. The proposed method achieves promising results, outperforming recent methods.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.2
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• pp.95-106
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• 2007

This paper proposes an effective tempo feature extraction method for music information retrieval. The tempo information is modeled by the narrow-band temporal modulation components, which are decomposed into a modulation spectrum via joint frequency analysis. In implementation, the tempo feature is directly extracted from the modified discrete cosine transform coefficients, which is the output of partial MP3(MPEG 1 Layer 3) decoder. Then, different features are extracted from the amplitudes of modulation spectrum and applied to different music information retrieval tasks. The logarithmic scale modulation frequency coefficients are employed in automatic music emotion classification and music genre classification. The classification precision in both systems is improved significantly. The bit vectors derived from adaptive modulation spectrum is used in audio fingerprinting task That is proved to be able to achieve high robustness in this application. The experimental results in these tasks validate the effectiveness of the proposed tempo feature.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.9-19
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• 2012

Time-varying tempo of a song is one of the error sources for the identification of a note duration in automatic music recognition. This paper proposes an improved music transcription scheme equipped with the identification of note duration considering the time-varying tempo. In the proposed scheme the measures are found at first and the tempo, the playing time of each measure, is then estimated. The tempo is then used for resizing each IOI(Inter Onset Interval) length and considered to identify the accurate note duration, which increases the degree of correspondence to the music piece. In the experiment the proposed scheme found the accurate measure position for 14 monophonic children songs out of 16 ones recorded by men and women. Also, it achieved about 89.4% and 84.8% of the degree of matching to the original music piece for identification of note duration and pitch, respectively.

• The Journal of the Acoustical Society of Korea
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• v.39 no.4
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• pp.286-291
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• 2020

In this paper, we propose a system that recommends music through tempo-oriented music classification and sensor-based human activity recognition. The proposed method indexes music files using tempo-oriented music classification and recommends suitable music according to the recognized user's activity. For accurate music classification, a dynamic classification based on a modulation spectrum and a sequence classification based on a Mel-spectrogram are used in combination. In addition, simple accelerometer and gyroscope sensor data of the smartphone are applied to deep spiking neural networks to improve activity recognition performance. Finally, music recommendation is performed through a mapping table considering the relationship between the recognized activity and the indexed music file. The experimental results show that the proposed system is suitable for use in any practical mobile device with a music player.

• Design Convergence Study
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• v.14 no.4
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• pp.277-292
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• 2015

Recently, as TV home shopping has entered into the stage of stability, competition between the same lines of business has become more intense. Thus, this research goals have been determined in order to analyze the purchase intent of customers related with the genre and tempo of background music of TV home shopping by different types of products. In order to achieve the research goals, thorough research on related literatures have been conducted and found out about the background music. Furthermore, the characteristics of background music of actual TV home shopping broadcasting have been analyzed, focusing on the genre and tempo of the music. In addition, a survey has been conducted in order to verify what kind of music genre and tempo of the background music has an influence on the highest purchase intent of the chosen three products(sportswear, household appliances, fresh and processed foods). This study investigated the influence of background music of TV home shopping in relation to the purchase intent of customers. Also, this study has significance in the sense that it analyzed the causal relationship between the background music of home shopping and reactions of customers by categorizing products in details and using the music genre and tempo as the independent variables that affect the purchase intent of customers.

• Korean Journal of Culture and Social Issue
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• v.12 no.1
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• pp.35-54
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• 2006

This study analysed the effect of music tempo on young drivers' driving speed. 23 male college students under age 26 were randomly assigned to one of three music conditions as follows; No Music, Slow Music and Fast Music. Every subject's travel time(sec) and driving speed(Km/h) was recorded while they were driving a computer-based driving simulator. As the results of this study, we found that 1) the fast music group's mean of travel time was the shortest and also, 2) their mean of driving speed was the fastest. The effect of music tempo on driving speed can be explained as a biological mechanism, same as the effect on our heart-beat rate or intensity of physical exercising. This result shows us that listening musics while driving can affect the driving speed instead of the driver's physical condition.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.96-100
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• 2020

Soundtrack dissonance, which appears in the background music of a movie scene, is a phenomenon of using songs or compositions that contrast with the general sentiment of the situation. A sad scene usually uses a slow tempo of sad music to match the mood of the scene. However, sometimes, in order to play background music that follows a depressing, sad, or anxious scene, there is a case of inserting music with an opposite atmosphere such as bright music, exciting music, fast-tempo music, or magnificent music. The method of presenting music that is contrary to the mood of the scene is a kind of psychological technique that inflicts a kind of mental shock on the audience and makes them remember a particular situation. In this study, we have investigated the meaning coming from scenes and Soundtrack Dissonance in movies, in order to understand the role that music and images play.