基于MEMS技术的多媒体空中鼠标

针对现有空中无线鼠标存在通信距离短、电池供电局限性等问题, 采用通信距离更长的2.4 GHz无线传输模块以及可循环充电利用的锂电池对空中无线鼠标系统进行了改进;同时系统接收端采用USB设备通信,将大容量存储设备与鼠标设备整合复用,并实现二者功能的任意切换,从而提高了该鼠标系统适应实际应用环境的能力;本系统采用多传感器信息融合技术,对三轴陀螺仪和三轴加速度计的数据进行实时采集,将采集到的数据传送给STM32微控制器,用于计算鼠标的位移、角度、角速度等参数;利用无线传输模块将数据发送到接收端完成与计算机的通信,控制电脑并完成鼠标的功能,同时USB设备的接收端可免插拔切换为U盘模式;从而实现基于MEMS技术的多媒体空中无线鼠标的智能化和多功能化。     

S60智能手机巧变蓝牙鼠标

将Series60手机设置为遥控鼠标的工具对电脑进行控制,已经不是新鲜的事情,但是用以前的实现方法相当之繁琐。手机与电脑均要安装软件,而且还要通过复杂的设置才能实现。最近无意中试用了Psiloc公司新发布的智能手机操控鼠标软件——Mobile Mouse S60,发现该软件的使用十分方便,也没有十分麻烦的设置步骤。下面就位大家描述一下具体使用过程:     

宽屏液晶与鼠标的遭遇 巧设鼠标 使用更方便

办公室新配的电脑是宽屏液晶,画面显示空间大了很多,可以同屏幕对比数据,或者同时上网并对照Word文档,使用起来很是方便。唯独我的鼠标有些麻烦,从左移动到右要划很长的轨迹,而且也没以前那么灵敏了,是我的鼠标和显示器不兼容吗?     

车载主机与智能手机互动系统设计

通过无线和有线结合的方式将智能手机与车载主机连接起来,智能手机的音频/视频通过 MHL 或者HDMI接口输出,经过转换后传输到车载主机,车载主机显示手机屏幕和播放多媒体声音。车载主机后台运行一个监控鼠标事件的服务器程序,捕获用户在车载主机屏幕上的触摸事件和坐标,并经过蓝牙或 WiFi 发送给手机客户端,客户端模拟对应的鼠标事件,实现用户在车载主机屏幕操作手机的应用程序,运行手机上的应用程序,实现车载主机与智能手机的互动。     

多彩知识讲座之鼠标篇

鼠标是电脑十分重要的外部设备,随着IT行业日新月异的发展,鼠标也在不断更新换代。它从原来的两个按键发展到5个按键,从没有手轮发展到双手轮,从传统的机械式发展到触摸式、手写式、光学式,从有线发展到无线,从低解析度发展到高解析度……鼠标在外形设计上也有了相当大的变化,采用人体工学设计的产品涌现,我们将从如下几个方面说说鼠标的相关知识:     

面向物联网的可见光近场通信方法研究

为了满足物联网应用中边缘感知系统信息交互的需求,可以采用传输便捷、功耗较低的近场通信方法。然而,传统的近场通信方法基于电磁波的广播通信,广播通信存在着安全性的先天不足。针对这一安全问题,使用移动设备上的可见光传感器实现了一种面向物联网的可见光近场双工通信系统。在该系统中,上行链路和下行链路采用不同的传感器模块进行数据传输。上行链路由环境光传感器感知光强变化完成数据接收,并且针对可见光源信号不稳定的特点,提出了一种基于可见光通信的状态转化调制STM(State Transaction Modulation)策略。在下行链路中,采用图像传感器扫描移动设备屏幕实现数据传输,并提出了一种能耗自适应的信号传输方法降低下行链路的能量开销。实验结果表明,在上行链路中,STM调制的传输速率高于PWM和PIM调制且能耗大幅降低,在传输序列有重复的情况下吞吐率亦优于DH-PIM调制。     

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     

鼠标特辑

手写鼠标汉王新推出了一款带手写板的鼠标,它可以在嵌入的手写板中进行行草书、繁体、生僻字的书写。同时,这款鼠标加入了汉王专利的OCR识别技术,可对数码相机、DV、手机等影像设备拍摄的图文照片进行识别,并将其中的文字信息转化为电子文本,并且可以对PDF、CAJ及不可复制的网页进行屏幕抓捕。     

为你的手机“添加”鼠标、键盘

随着智能手机的身价跳水,昔日的"堂前燕"也飞进了百姓家。但我们已经习惯了用鼠标和键盘来完成操作,突然切换到那小巧的机身上,大大影响了操作的"快"感,咱们何不将电脑上的鼠标、键盘也"装"到手机上?下面我们以采用Pocket PC(下简称为PPC)与SmartPhone系统的智能手机为例来看下具体的实现过程。     

罗技DEXXA光学滚轮鼠标

传统的机械鼠标绝大多数是 利用橡皮球的滚动来转动很小的滚筒，而小滚筒再转动继电器轮子。而光学鼠标用一个微小的照相机来观察鼠标下面发生的一切活动，这种照相机每秒钟可以拍摄１５００多张照片，通过比较这些连续的图片，就可以估计出你是如何移动鼠标的。尽管很早就有光学鼠标了，但是，它们只有非常简单粗糙的移动译码器，并且要用特别模式的鼠 罗技ＤＥＸＸＡ光学滚轮鼠标标垫才能工作。有了这种新型的照相机设计后，尽管需要鼠标提供相当数量的处理电源，但这种新型光学鼠标可以反映出任何微小的移动变化，甚至在墙上，你都可以使…     

基于Android平台煤矿安全系统3G手机客户端设计

随着科技的发展煤矿安全保障已日趋显得重要。随着智能手机和3G网络的快速发展和普及,智能手机应用到煤矿安全系统条件已经成熟。智能手机可以实现人员定位,视屏,图片显示等功能。本文基于Android智能手机平台开发出一套可实现以上功能的煤矿安全系统客户端。该客户端软件在实际中得到应用,并取得良好效果。     

基于FPGA的ECG信号采集与处理系统设计

当今平板电脑和大屏幕智能手机的普及为便携式心电监护仪的发展带来了机遇。针对这种发展趋势,设计了便携式心电（electrocardiogram,ECG）信号的实时采集、处理和传送系统。该系统以FPGA为控制中心,用高精度24位心电专用芯片实现模数转换,用FIR滤波算法实现高阶数字滤波。该系统采集和处理的ECG数据可传送至平板电脑或大屏幕智能手机,以方便心脏疾病者自我初步诊断。     

基于Windows Mobile操作系统的虚拟摄像头设计

通过分析研究Windows Mobile手机操作系统、蓝牙技术以及WDM驱动程序,提出了一种虚拟摄像头解决方案.该方案利用基于Windows Mobile操作系统的智能手机采集摄像头视频数据并通过蓝牙将数据实时发送到电脑上,并且开发虚拟设备驱动程序,接收并使用这些实时数据,实现了网络摄像头功能.     

Seeing Eye Phone: a smart phone-based indoor localization and guidance system for the visually impaired

In order to help the visually impaired as they navigate unfamiliar environment such as public buildings, this paper presents a novel smart phone, vision-based indoor localization, and guidance system, called Seeing Eye Phone. This system requires a smart phone from the user and a server. The smart phone captures and transmits images of the user facing forward to the server. The server processes the phone images to detect and describe 2D features by SURF and then matches them to the 2D features of the stored map images that include their corresponding 3D information of the building. After features are matched, Direct Linear Transform runs on a subset of correspondences to find a rough initial pose estimate and the Levenberg–Marquardt algorithm further refines the pose estimate to find a more optimal solution. With the estimated pose and the camera’s intrinsic parameters, the location and orientation of the user are calculated using 3D location correspondence data stored for features of each image. Positional information is then transmitted back to the smart phone and communicated to the user via text-to-speech. This indoor guiding system uses efficient algorithms such as SURF, homographs, multi-view geometry, and 3D to 2D reprojection to solve a very unique problem that will benefit the visually impaired. The experimental results demonstrate the feasibility of using a simple machine vision system design to accomplish a complex task and the potential of building a commercial product based on this design.     

Can eye-tracking data be measured to assess product design?: Visual attention mechanism should be considered

Eye tracking probes user's perception of real-time reaction to products, while conventional methods (i.e. interviews, focus group, questionnaires and so on) have generally failed because they depend on users' willingness and competency to describe how they feel when they are exposed to a product. Two tasks were designed to explore the indexes of eye movement that can reflect user experience of product, and analyse the attention captured by product attributes and goal-oriented. In task one, participants just browsed two smart phone pictures and evaluated the whole user experience. Binary choices were used in task two to ask participants to select the smart phone picture with higher user experience and then click the mouse. The results showed that in the browsing task, participants had shorter time to first fixation for the smart phone picture with higher level of user experience than the lower. And pupil dilated significantly when participants browse smart phone picture with lower level of user experience. In goal-oriented task, participants' attentions were dominated by visual perception of task driven, mainly reflected on longer fixation time and larger pupil diameter when looking at the smart phone with higher level of user experience. These results support the notion that we cannot assess product design just by several eye-movement indexes without considering the effects of visual attention mechanism.Relevance to industryThe appearance of product plays an important role to attract user's attention and stimulate their intention to experience. And vision is the main channel for users to obtain product information. Hence a thorough research on the inherent mechanism of vision perception can provide technical support for product designers, which in turn can attract more consumers to experience the product, even buy it. Moreover, the seller can find out the real buyers and predict their desired products by tracking user's eyes.     

Fast heterogeneous computing architectures for smart antennas

The usage of locating systems in sports elevates match and training analysis to a new level. By tracking players, balls and other sports equipment during matches or training, the performance of players can be analyzed, the training can be adapted and new strategies can be developed. The radio-based RedFIR system equips players and balls in soccer with miniaturized transmitters, while antennas distributed around the playing field receive the transmitted radio signals. A cluster computer processes these signals to determine the exact positions based on the signals’ Time Of Arrival (TOA) at the back end.While such a system works well, it is neither scalable nor inexpensive due to the required computing cluster. Also the relatively high power consumption of the GPU-based cluster is sub optimal. Moreover, high speed interconnects between the antennas and the cluster computers introduce additional costs and increase the installation effort. However, a significant portion of the computing performance is not required for the synthesis of the received data, but for the calculation of the unique TOA values of every receiver line.Therefore, in this paper we propose a smart sensor approach: By integrating some intelligence into the antenna (smart antenna), each antenna correlates the received signal independently of the remaining system and only a comparably small amount of resulting data is sent to the backend. While the idea is quite simple, the question of a well suited computer architecture to fulfill this task inside the smart antenna is more complex. Therefore, this paper provides an evaluation of embedded architectures, such as FPGAs, GPUs, ARM cores as well as a many core CPU (Epiphany), regarding processing performance and energy consumption. Additionally, we show that performance and energy consumption can be improved through heterogeneous computing techniques.Thereby, we are able to achieve the required 50.400 correlations per second in each smart antenna. As a result, the backend becomes lightweight, cheaper interconnects through data reduction are required and the system becomes more scalable, since most processing power is already integrated in the antenna.In addition, the evaluation results indicate that Software Defined Radio (SDR) approaches in general might benefit from a more diverse application of processing platforms.     

Design of a user-support system for vision information using a smart phone

In this paper, we design a user-support system for vision information using smart phones. When the user takes a picture of a target using the smart phone camera, our system can recognize the image of the target and recommend a suitable service to the user. The system executes simple image analysis and determines a suitable service for the target image. The simple image analysis can extract 13 parameters (e.g., color information (RGB), number of intersections, depth of intersection, line width, and line depth). We use machine learning to classify the parameters into each service. In our research, we use a Support Vector Machine as a learning machine tool. Our system design provides user support for several services such as translation, barcode readers, and diagnosis of skin images and demonstrates the effectiveness of our research.     

基于Android平台的手机防盗与数据保护系统

伴随智能手机的日益普及,对重要资料的保存愈发依赖于手机,一旦手机丢失,资料的安全追回便是当务之急。目前,市面上涌现的手机防盗软件的功能并不齐全．缺乏对重要资料的加密传输等安全措施。针对这一现状,该系统运用基于Eclipse平台的Android编程,实现集SIM监控、地理位置获取、图像采集、隐私数据远程备份等功能于一体的手机防盗与数据保护系统。     

Android手机的智能家居语音控制系统设计

设计了一款基于Android手机的智能家居语音控制系统,通过Android手机的APP"语音"按钮实现一键式控制、智能应答,语音识别模块和语音合成模块整合到上位机上,减少了在语音识别和语音合成方面的硬件开支.下位机由STC89C52单片机、HC-06蓝牙模块、1602液晶显示模块及相应的电路组成.系统能够实现语音控制家居照明系统的开关、定时、状态查询与显示,电视的开关、音量和频道切换等功能.