A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitar
| Autor: | Soichiro Matsushita |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Electric guitar business.industry Computer science 010401 analytical chemistry Population 020207 software engineering Angular velocity 02 engineering and technology 01 natural sciences Signal Motion (physics) 0104 chemical sciences Power (physics) Rhythm 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence Guitar education business |
| Zdroj: | Proceedings of the 23rd International Symposium on Wearable Computers. |
| Popis: | A fast and powerful down picking skill of rhythm guitar is crucial for heavy metal songs. At more than 400 beats per minute, which is a typical starting point for heavy metal songs, most players feel hard to keep the picking rhythm. In this paper, we propose a wrist-worn inertial motion tracking device for analyzing the guitar picking motion. A population test showed that a wrist twist angular velocity signal would give sufficient information on the picking timing to evaluate the accuracy of rhythm. It was also found that the power of sound had a strong correlation with the wrist twist angle and the upward linear acceleration signals. We developed a picking evaluation system by using characteristic motion parameters that informs the player of the speed, power, and smoothness of the picking motion. As a result, five out of eight beginners to play heavy metal guitar reached the speed of 400 beats per minute in a short training period. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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