基于Android和ann的上臂鼠标研究

Hartawan Sugihono, R. B. Widodo, Oesman Hendra Kelana
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引用次数: 2

摘要

残疾是一个人在身体、智力、精神和/或感官方面的长期限制。这项研究是为那些没有下臂的人保留的,以便正常操作电脑。本研究使用智能手机上的方向传感器作为主要传感器来移动光标和点击。从智能手机到电脑的数据传输使用蓝牙。本研究将比较来自上臂方向传感器组合的两种手势:使用俯仰偏航运动的手势1和使用俯仰滚动运动的手势2;移动显示器上的光标。左键点击和右键点击使用人工神经网络来检测上臂的抽搐动作。ISO/TS 9241-411标准评价:人机交互的工效学其中包括性能评估和手势的舒适度。手势之间的吞吐量、运动时间、舒适度和疲劳度的表现结果在两种手势之间无显著差异。努力问卷的结果是,手势1在肩膀上的努力最大,手势2在手上的努力最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of the Android and ANN-based Upper-arm Mouse
Disability is a person's condition in the physical, intellectual, mental, and/or sensory limitations in the long term. This study is reserved for those who do not have the lower arm in order to operate the computer normally. This study uses orientation sensor on the smartphone as the main sensor to move the cursor and click. Delivery of data from smartphone to computer is using Bluetooth. This study will compare two gestures from a combination of orientation sensors on the upper arm: gesture 1 using pitch-yaw motion and gesture 2 using pitch-roll motion; to move the cursor on the monitor. Left-click and right-click using ANN is to detect upper arm jerk movements. Evaluation using ISO/TS 9241-411 standard: ergonomics of human-system interaction; which includes performance evaluation and comfort of the gesture. Performance results of throughput, movement time, comfort and fatigue between gestures were not significantly different between those gestures. The result of the effort questionnaire is that gesture 1 has the highest effort on the shoulder and gesture 2 has the highest effort on the hand.
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