{"title":"比较两种基于手势的短文本输入方法","authors":"H. Witt, Torben Janssen","doi":"10.1145/1240866.1241075","DOIUrl":null,"url":null,"abstract":"We report on the design and initial evaluation of two methods for short text input in wearable computing applications using hand gestures. A wireless data glove able to recognize 4 basic gestures is used together with the chording principle. We present two different concepts to map gestures to characters. A presentation of preliminary experiment results shows that simple free hand gestures in combination with different key maps are easier to learn and allow faster typing than distinct gestures assigned for each character.","PeriodicalId":294433,"journal":{"name":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Comparing two methods for gesture based short text input using chording\",\"authors\":\"H. Witt, Torben Janssen\",\"doi\":\"10.1145/1240866.1241075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report on the design and initial evaluation of two methods for short text input in wearable computing applications using hand gestures. A wireless data glove able to recognize 4 basic gestures is used together with the chording principle. We present two different concepts to map gestures to characters. A presentation of preliminary experiment results shows that simple free hand gestures in combination with different key maps are easier to learn and allow faster typing than distinct gestures assigned for each character.\",\"PeriodicalId\":294433,\"journal\":{\"name\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1240866.1241075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1240866.1241075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing two methods for gesture based short text input using chording
We report on the design and initial evaluation of two methods for short text input in wearable computing applications using hand gestures. A wireless data glove able to recognize 4 basic gestures is used together with the chording principle. We present two different concepts to map gestures to characters. A presentation of preliminary experiment results shows that simple free hand gestures in combination with different key maps are easier to learn and allow faster typing than distinct gestures assigned for each character.