{"title":"WatchMI: pressure touch, twist and pan gesture input on unmodified smartwatches","authors":"H. Yeo, Juyoung Lee, Andrea Bianchi, A. Quigley","doi":"10.1145/2935334.2935375","DOIUrl":null,"url":null,"abstract":"The screen size of a smartwatch provides limited space to enable expressive multi-touch input, resulting in a markedly difficult and limited experience. We present WatchMI: Watch Movement Input that enhances touch interaction on a smartwatch to support continuous pressure touch, twist, pan gestures and their combinations. Our novel approach relies on software that analyzes, in real-time, the data from a built-in Inertial Measurement Unit (IMU) in order to determine with great accuracy and different levels of granularity the actions performed by the user, without requiring additional hardware or modification of the watch. We report the results of an evaluation with the system, and demonstrate that the three proposed input interfaces are accurate, noise-resistant, easy to use and can be deployed on a variety of smartwatches. We then showcase the potential of this work with seven different applications including, map navigation, an alarm clock, a music player, pan gesture recognition, text entry, file explorer and controlling remote devices or a game character.","PeriodicalId":420843,"journal":{"name":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2935334.2935375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38
Abstract
The screen size of a smartwatch provides limited space to enable expressive multi-touch input, resulting in a markedly difficult and limited experience. We present WatchMI: Watch Movement Input that enhances touch interaction on a smartwatch to support continuous pressure touch, twist, pan gestures and their combinations. Our novel approach relies on software that analyzes, in real-time, the data from a built-in Inertial Measurement Unit (IMU) in order to determine with great accuracy and different levels of granularity the actions performed by the user, without requiring additional hardware or modification of the watch. We report the results of an evaluation with the system, and demonstrate that the three proposed input interfaces are accurate, noise-resistant, easy to use and can be deployed on a variety of smartwatches. We then showcase the potential of this work with seven different applications including, map navigation, an alarm clock, a music player, pan gesture recognition, text entry, file explorer and controlling remote devices or a game character.
智能手表的屏幕尺寸提供了有限的空间来支持富有表现力的多点触控输入,导致体验明显困难和有限。我们推出WatchMI: Watch Movement Input,增强智能手表的触摸交互,支持连续的压力触摸、扭转、平移手势及其组合。我们的新方法依赖于软件,实时分析来自内置惯性测量单元(IMU)的数据,以便在不需要额外硬件或修改手表的情况下,以极高的精度和不同粒度的级别确定用户执行的动作。我们报告了系统的评估结果,并证明了三种建议的输入接口准确,抗噪声,易于使用,可以部署在各种智能手表上。然后,我们用七个不同的应用程序展示了这项工作的潜力,包括地图导航,闹钟,音乐播放器,pan手势识别,文本输入,文件资源管理器和控制远程设备或游戏角色。