• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Symposium on Virtual and Augmented Reality >Method for Text Input with Google Cardboard: An Approach Using Smartwatches and Continuous Gesture Recognition
【24h】

Method for Text Input with Google Cardboard: An Approach Using Smartwatches and Continuous Gesture Recognition

机译：使用Google Cardboard进行文本输入的方法：一种使用智能手表和连续手势识别的方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This work proposes a method that allows the entry of text using the Google Cardboard, for this, uses gestures based on geometric forms and smartwatches. Thus, it is proposed the development of a prototype with the purpose of inserting a letter with no more than two user interactions. Gesture recognition is performed using the incremental recognition algorithm. After recognizing the gestures, they are sent to a classifier Naïve Bayes which is responsible for predicting the letter that will be inserted. The Naïve Bayes classifier was trained with a user gesture base that drew all the letters of the alphabet using only the gestures available in the set presented to them. Using the gesture base and the Naïve Bayes classifier a prototype for smartwatches was developed that works in conjunction with the Google Cardboard. The user performs the interactions on smartwatch and views them on Google Cardboard. This prototype automatically suggests the most likely letters to be entered and allows the user to enter text without having to look at smartwatch thus allowing the user to continue performing his other tasks.
机译：这项工作提出了一种方法，该方法允许使用Google Cardboard输入文本，为此，它使用基于几何形式和智能手表的手势。因此，建议开发一种原型，其目的是插入不超过两个用户交互的字母。使用增量识别算法执行手势识别。识别出手势之后，它们将被发送到分类器NaïveBayes，后者负责预测将要插入的字母。朴素贝叶斯分类器使用用户手势库进行训练，该库仅使用呈现给他们的集合中可用的手势来绘制字母表中的所有字母。使用手势基础和朴素贝叶斯分类器，开发了智能手表的原型，该原型与Google Cardboard结合使用。用户在smartwatch上执行交互，并在Google Cardboard上查看它们。该原型自动建议最可能输入的字母，并允许用户输入文本而无需查看智能手表，从而使用户可以继续执行他的其他任务。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号