计算机科学 ›› 2017, Vol. 44 ›› Issue (4): 177-181.doi: 10.11896/j.issn.1002-137X.2017.04.039

• NASAC 2015 • 上一篇    下一篇

基于多通道交互技术的计算机辅助需求分析系统的研发

刘喆,李智   

  1. 广西师范大学计算机科学与信息工程学院 桂林541004,广西师范大学计算机科学与信息工程学院 桂林541004
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金(61262004),广西自然科学基金(2012GXNSFCA053010),广西科学研究与技术开发计划项目(桂科合1347004-22),2013年度广西高等教育教学改革工程项目(2013JGB121),广西多源信息挖掘与安全重点实验室开放基金(14-A-03-01),“八桂学者”工程专项经费资助

Research and Development of Computer-aided Requirements Engineering Tool Based on Multi-modal Interaction Technologies

LIU Zhe and LI Zhi   

  • Online:2018-11-13 Published:2018-11-13

摘要: 近年来,人机交互向着认知系统方向发展,以便提供自然与有效的交互原则。认知系统依靠来自多个传感器的数据的处理和融合算法的结合,通过动态地适应外界环境来改善人机交互体验。本原型作品在现有的面向问题的计算机辅助软件需求工程(Computer-Aided Requirements Engineering,CARE)工具的基础上,以及在人机交互理论和设计原则的指导下,针对需求展示的场合,提出了一种基于手势操作的自然交互方式,并在追踪识别手势的过程中运用多通道技术辅助追踪,从而大大加快了追踪与识别的速度,提高了精确度,提供了更好的用户体验。

关键词: 人机交互,多通道交互技术,手势识别,计算机辅助需求工程(CASE),问题框架

Abstract: Human-computer interaction is developing towards building cognitive systems in order to provide natural and effective interaction experience.By relying on data processing and data fusion algorithms from various sensors,cognitive systems can dynamically adapt to external environment to improve human-computer interaction experience.This paper proposed a natural way of human-computer interaction based on gesture operations in order to cater for particular kinds of usage scenarios of a computer-aided requirements engineering (CARE) tool,which makes further improvement on an existing problem-oriented CARE tool,under the principle and theory of human-computer interactions.A tracing method assisted by multi-modal techniques is applied in the gesture recognition process,which makes significant enhancement to the speed and accuracy of tracing and recognition,thus providing better user experience.

Key words: Human-computer interaction,Multi-modal interaction technology,Gesture recognition,Computer-aided requirements engineering(CARE),Problem frames(PF)

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