一种基于语音识别的声控鼠标的设计和实现

实现了一种基于语音识别技术的声控鼠标光标应用程序,可以用语音控制鼠标光标移动到屏幕的任意位置,能用来帮助伤残人士只用声音而不用鼠标和键盘就能操作电脑.分析了语音控制鼠标光标使用过程中的延时缺陷,并做出了针对性的改进.     

如何选择合适的游戏鼠标

鼠标是一种常见及常用的计算机输入设备,可以对屏幕上指针进行定位,并通过按键和滚轮装置对光标所处位置的屏幕元素进行操作.同时,鼠标也是游戏中必不可少的输入设备之一.例如:FPS游戏中需要用鼠标操作旋转人物视角和选择目标,MOBA游戏中需要鼠标操纵人物移动,以及控制人物的技能释放.     

红外激光笔遥指虚拟触摸系统

为了在商务、会议、教学演示过程中使用激光笔实现除上下翻页之外的点击功能,设计一种红外激光笔遥指虚拟触摸系统.使用者手持红外激光笔对任意的显示屏进行远距离触摸指示和点击控制,由图像获取装置拍摄显示屏,获取包括红外激光笔发出的红外激光点在内的显示屏图像,再由图像处理模块处理显示屏图像识别出红外激光点及其在显示屏中的位置,根据红外激光点的时间长短和次数区分鼠标移动、鼠标单击,鼠标双击等操作类型,并控制计算机系统在显示屏对应位置上显示出表示光点的光标图形,完成相应操作,实现虚拟触摸功能.     

Kinect彩色图像在光标移动控制中的应用

传统光标控制方式不能较好满足残疾、野外工作等人员的工作需求,而用Kinect识别人体不同的动作类型来实现光标控制时,由于控制方式过于单一,存在动作类型过多且相互干扰的情况。为此,提出将Kinect提取的彩色图像和骨骼数据相结合的方法实现光标的移动控制。从彩色图像上提取可变的像素颜色,以此减少动作类型数量,同时避免动作之间的相互干扰。给出光标移动控制中涉及到的坐标映射相关理论的计算公式。实验结果表明,将感应器彩色图像应用于光标移动控制中是可行的,与单一控制方式相比,具有更好的移动控制性能,通过调节公式中的相关参数更加灵活地实现鼠标控制。     

电脑小辞典 鼠标篇

一鼠标英文名称为Mouse，它是一种移动光标和实现选择操作的计算机输入设备。鼠标于1968年12月9日在美国加州斯坦福大学诞生，它的发明者是Douglas Englebart博士。当时的鼠标是一只小木头盒子，工作原理是由它底部的小球带动枢轴转动，而带动变阻器改变阻值来产生位移信号、信号经计算机处理、屏幕上的光标就可以移动。     

一种控制屏幕光标的方法

该方法阐述了一种利用手机或平板电脑(以下统称为手机)的移动来操作本身屏幕光标或其它设备屏幕光标的方法,该方法的核心思想是将手机或平板电脑本身作为一个鼠标来控制本身屏幕光标或其它设备屏幕光标的移动。权利要求一:利用手机的移动来操作本身屏幕光标或     

笔记本触控板点击无反应问题图解汇总

近日不少朋友反映笔记本触控板只能移动光标,无法实现单击、双击功能,但触控板按键及外接鼠标均正常,经检查这主要是因为笔记本用户安装了由厂商提供的触控板驱动,驱动中关于设置触控板点击功能被关闭引起的。就此,笔者特收集了市面上主流类型触控板的触击功能开启办法——     

无线鼠标电路设计及算法实现

文中设计的无线鼠标包含发射电路和接收电路两部分,发射电路先采用光传感器ADNS5030检测鼠标的移动信息,然后输出到内置单片机的无线模块CC2430的I/O口,通过CC2430控制并将此信息发射到接收电路,接收电路接收到移动信息后,根据鼠标位移状态机解码算法,得到移动信息及按键信息,通过HT82M98A处理后将信息传给计算机,计算机自动完成相应动作;然后不断的循环;经测试,该电路不仅具备普通有线鼠标的全部功能,还可远距离灵活操纵鼠标,在大礼堂等开阔场所可达80 m以上;计算机自动识别无线鼠标接收电路,不需要额外安装程序,每一次鼠标信号处理总时间不大于1 ms,无线鼠标移动灵活,无停滞现象.     

怎样用程序控制鼠标

记得在以前用过一些软件,它们带的演示功能很巧妙,能够控制你的鼠标,使它在窗体上移动,点开菜单,在按钮上点击,拖动图标等,就像有一只神奇的手接管了它。也有一些恶作剧的软件,能够锁定你的鼠标,使它只能停在某个区域,怎样移动鼠标器也不见效。这种高级控制技巧要借助于API函数来实现。要达到对鼠标的控制,以下几个功能的实现至关重要:获取鼠标光标在屏幕上     

基于AT指令的GPRS模块快速拨号的设计与实现

在VB6.0开发环境下,利用MSComm控件实现GPRS模块与计算机的串行通信,采用ADO对象模型对数据库进行访问,设计开发了快速拨号的功能,实现点击某一按键,调用该按键所对应数据库中的电话号码进行一键拨号。     

Development of a computer input device for patients with tetraplegia

It is necessary for medical staff members to evaluate the computer input ability of patients with spinal cord injury (SCI) during the patients' rehabilitation. In this paper, we describe a system for measuring and evaluating the computer input ability of SCI patients. We measured the position locus of the mouse cursor when a patient operates a computer using a ball mouse. After this measurement, we calculated three time parameters to evaluate the computer input ability of the patient. In addition, we developed a new computer input device for patients, and showed by means of the three time parameters that this device was effective for some patients.     

A method for evaluating head-controlled computer input devices using Fitts' law

The discrete movement task employed in this study consisted of moving a cursor from the center of a computer display screen to circular targets located 24.4 and 110.9 mm in eight radial directions. The target diameters were 2.7, 8.1, and 24.2 mm. Performance measures included movement time, cursor path distance, and root-mean-square cursor deviation. Ten subjects with no movement disabilities were studied using a conventional mouse and a lightweight ultrasonic head-controlled computer input pointing device. Average movement time was 306 ms greater (63%) for the head-controlled pointer than for the mouse. The effect of direction on movement time for the mouse was relatively small compared with the head-controlled pointer, which was lowest at 90 and 270 deg, corresponding to head extension and head flexion, respectively. Average path distance and root mean square displacement was lowest at off-diagonal directions (0, 90, 180, and 270 deg). This methodology was also shown to be useful for evaluating performance using an alternative head-controlled input device for two subjects having cerebral palsy, and measured subtle performance improvements after providing a disabled subject with lateral torso support.     

Head-operated computer controls: effect of control method on performance for subjects with and without disability

Head-operated computer controls provide an alternative means of computer access for people with physical disabilities. A person's ability to use such head controls may be reduced if he or she experiences neck movement limitations. Five experimental methods of compensating for neck movement limitations were evaluated in comparison to a standard head control interface. Twenty-two subjects without disabilities and three subjects with multiple sclerosis performed icon acquisition exercises using the standard interface and each of the five experimental compensation methods. Subjects without disabilities had less tendency to overshoot the target icons when using an interface with decreased sensitivity or one in which head movements controlled cursor velocity rather than cursor position (p<0.05). Subjects with multiple sclerosis tended to be more accurate when using an interface with increased sensitivity, and had less tendency to overshoot icons when using head movements to control cursor velocity rather than cursor position. Overall, subjects tended to demonstrate faster performance when using an interface with reduced sensitivity.     

Characteristics of cursor trajectories controlled by the computer mouse

An analysis of computer screen cursor trajectories can provide insights into the factors limiting efficient cursor positioning and can assist in the design of humancomputer interfaces. Cursor locations as controlled by a Microsoft computer mouse with standard settings were therefore sampled at 5ms intervals and kinematic analyses addressed the proportions of time spent in the initiation, accelerative and terminal guidance phases of cursor positioning. Twelve participants used a computer mouse to move a cursor over different distances (7.5cm, 15cm) from a home location in the lower centre of the screen to targets of different diameters (8mm, 16mm), situated to the left, middle or right of the computer screen. Cursor trajectories were irregular, and participants regularly overshot their targets, spending 70% of movement duration in terminal guidance. Participants appeared to use the initial part of their movement to establish mappings between controller and display. Interventions should seek to reduce the terminal guidance phase of cursor positioning.     

Characteristics of cursor trajectories controlled by the computer mouse

An analysis of computer screen cursor trajectories can provide insights into the factors limiting efficient cursor positioning and can assist in the design of human-computer interfaces. Cursor locations as controlled by a Microsoft computer mouse with standard settings were therefore sampled at 5 ms intervals and kinematic analyses addressed the proportions of time spent in the initiation, accelerative and terminal guidance phases of cursor positioning. Twelve participants used a computer mouse to move a cursor over different distances (7.5 cm, 15 cm) from a home location in the lower centre of the screen to targets of different diameters (8 mm, 16 mm), situated to the left, middle or right of the computer screen. Cursor trajectories were irregular, and participants regularly overshot their targets, spending 70% of movement duration in terminal guidance. Participants appeared to use the initial part of their movement to establish mappings between controller and display. Interventions should seek to reduce the terminal guidance phase of cursor positioning.     

Head Movement Based Interaction in Mobility

The touchless techniques in human computer interaction (HCI) can effectively expand communication capabilities. In the paper we present the innovative touchless computer control method based on head movement analysis. The aim of our work was to replace the standard mouse with the movements of the user’s head. In contrast to the known solutions, our proposition does not require image recording of the user’s head and complex image analysis. The analysis of position in our solution is made using the camera worn by the user on the head. A project of such a solution has been developed and the research of it has been carried out. It has been shown that in this way it is possible to effectively move the screen cursor to the position which is identified by the user’s face orientation. Additionally, in this solution, the eye image analysis has been performed. Interpretation of blinking allowed executing system commands. Using the built prototype the experiments have been carried out in a group of 30 people. Studies have shown high efficiency and ergonomics of the proposed solution.     

Analysis of cursor movements with a mouse

With a mouse input device, 32 experienced computer users moved a cursor from a starting position to a target, both of which were displayed simultaneously on the computer’s screen. Cursor movements occurred under conditions of variations in the angle of approach to the target, the target size and shape, the distance to the target, and the nature of the task, drag-drop or point-click. In a fully crossed within-subjects design, all variables studied significantly affected movement time. Fitts’ law accounted for 44% or 97% of the variance in movement time, depending on the method of analysis. Fitts’ law was not equally effective under all combinations of the variables studied. An analysis of residuals showed that residuals were smaller for a point-click task in comparison to a drag-drop task, and residuals were lowest for the largest target displayed at the shortest distance from the starting position. The application of Fitts’ law to cursor movements with a mouse should be qualified by noting the conditions under which the movements were observed.     

Are Two Better Than One? A Comparison Between Single- and Dual-Monitor Work Stations in Productivity and User’s Windows Management Style

Multiple monitors are commonly used in the workplace nowadays. This study compares user productivity and windows management style (WMS) on single- and dual-monitor work stations for engineering tasks of three complexity levels. Four productivity measures including task time, cursor movement, the number of window switches, and the number of mouse clicks were compared. The results showed that dual-monitor setting resulted in significantly less window switches and mouse clicks. Most users preferred dual-monitor setting. To understand how users manage multiple windows in completing their tasks, a new WMS categorization method is proposed, toggler and resizer, and user behavior was categorized into one of these two styles. More users adopted “toggler” style, but as the task complexity level increased, some “toggler” style users switched to “resizer” style.     

Novel hands-free interaction techniques based on the software switch approach for computer access with head movements

Head-operated computer accessibility tools (CATs) are useful solutions for the ones with complete head control; but when it comes to people with only reduced head control, computer access becomes a very challenging task since the users depend on a single head-gesture like a head nod or a head tilt to interact with a computer. It is obvious that any new interaction technique based on a single head-gesture will play an important role to develop better CATs to enhance the users’ self-sufficiency and the quality of life. Therefore, we proposed two novel interaction techniques namely HeadCam and HeadGyro within this study. In a nutshell, both interaction techniques are based on our software switch approach and can serve like traditional switches by recognizing head movements via a standard camera or a gyroscope sensor of a smartphone to translate them into virtual switch presses. A usability study with 36 participants (18 motor-impaired, 18 able-bodied) was also conducted to collect both objective and subjective evaluation data in this study. While HeadGyro software switch exhibited slightly higher performance than HeadCam for each objective evaluation metrics, HeadCam was rated better in subjective evaluation. All participants agreed that the proposed interaction techniques are promising solutions for computer access task.

     

Intelligent Control for Haptic Displays

Usually, a mouse is used for input activities only, whereas output from the computer is sent via the monitor and one or two loudspeakers. But why not use the mouse for output, too? For instance, if it would be possible to predict the next interaction object the user wants to click on, a mouse with a mechanical brake could stop the cursor movement at the desired position. This kind of aid is especially attractive for small targets like resize handles of windows or small buttons. In this paper, we present an approach for the integration of haptic feedback in everyday graphical user interfaces. We use a specialized mouse which, is able to apply simple haptic information, to the user's hand and index finger. A multi-agent system has been designed which ‘observes’ the ‘user in order to predict the next interaction object and launch haptic feedback, thus supporting positioning actions with the mouse. Although primarily designed in order to provide intelligent’ haptic feedback, the system can be combined with other output modalities as well, due to its modular and flexible architecture.