基于多通道交互技术的计算机辅助需求分析系统的研发
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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。
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.
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.
引文
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[4]HE Z H,LI Z.Research and Development of Computer-aided Requirements Analysis Tool Based on Human-computer Interaction[J].Computer Science,2015,42(12):181-194.(in Chinses)何正海,李智.基于人机交互的计算机辅助软件需求分析工具的研发[J].计算机科学,2015,42(12):181-194.
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[11]ZHANG Z.A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2000,22(11):1330-1334.
[2]JACKSON M.Problem frames:analyzing and structuring software development problems[M].Boston:Addison-Wesley,2001.
[3]LIU G Y,WAN G H,PANG L,et al.Research and Development of Computer-aided Requirements Engineering Tool Based on Problem Frames[J].Computer Science,2014,41(11):137-168.(in Chinses)刘国源,万光海,庞柳,等.基于问题框架的计算机辅助需求工程工具的研发[J].计算机科学,2014,41(11):137-168.
[4]HE Z H,LI Z.Research and Development of Computer-aided Requirements Analysis Tool Based on Human-computer Interaction[J].Computer Science,2015,42(12):181-194.(in Chinses)何正海,李智.基于人机交互的计算机辅助软件需求分析工具的研发[J].计算机科学,2015,42(12):181-194.
[5]NANDAKUMAR K,FUNK J L.Understanding the timing of economic feasibility:The case of input interfaces for human-computer interaction[J].Technology in Society,2015,25(1):33-49.
[6]VERTEGAAL R.Attentive User Interfaces[J].Communications of the ACM,2003,46(3):30-33.
[7]OVIATT S,DARRELL T,FLICKNER M.MultimodalInterfaces That Flex,Adapt,and Persist[J].Communications of the ACM,2004,47(1):30-33.
[8]SONG Y,DAVIS R.Continuous body and hand gesture recognition for natural human-computer interaction[C]∥International Conference on Artificial Intelligence.AAAI Press,2015.
[9]KIM K,KIM J,CHOI J,et al.Depth camera-based 3Dhand gesture controls with immersive tactile feedback for natural mid-air gesture interactions[J].Sensors,2015,15(1):1022-1046.
[10]XU R,ZHOU S,LI W J.MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition[J].IEEE Sensors Journal,2012,12(5):1166-1173.
[11]ZHANG Z.A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2000,22(11):1330-1334.