{"title":"手势:参与式移动音乐的手势识别","authors":"Gerard Roma, Anna Xambó, Jason Freeman","doi":"10.1145/3123514.3123538","DOIUrl":null,"url":null,"abstract":"This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.","PeriodicalId":282371,"journal":{"name":"Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Handwaving: Gesture Recognition for Participatory Mobile Music\",\"authors\":\"Gerard Roma, Anna Xambó, Jason Freeman\",\"doi\":\"10.1145/3123514.3123538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.\",\"PeriodicalId\":282371,\"journal\":{\"name\":\"Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3123514.3123538\",\"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 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3123514.3123538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Handwaving: Gesture Recognition for Participatory Mobile Music
This paper describes handwaving, a system for participatory mobile music based on accelerometer gesture recognition. The core of the system is a library that can be used to recognize and map arbitrary gestures to sound synthesizers. Such gestures can be quickly learnt by mobile phone users in order to produce sounds in a musical context. The system is implemented using web standards, so it can be used with most current smartphones without the need of installing specific software.