{"title":"一个手腕佩戴的运动评估系统,快速和强大的下拾取重金属吉他","authors":"Soichiro Matsushita","doi":"10.1145/3341163.3347726","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":112916,"journal":{"name":"Proceedings of the 2019 ACM International Symposium on Wearable Computers","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitar\",\"authors\":\"Soichiro Matsushita\",\"doi\":\"10.1145/3341163.3347726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":112916,\"journal\":{\"name\":\"Proceedings of the 2019 ACM International Symposium on Wearable Computers\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 ACM International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3341163.3347726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 ACM International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341163.3347726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wrist-worn motion evaluation system for fast and powerful down picking of heavy metal guitar
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.