会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Dry electrode for biomedical signal measuring sensor
    • 干电极用于生物医学信号测量传感器
    • US08406841B2
    • 2013-03-26
    • US12960868
    • 2010-12-06
    • Chin-Teng LinLun-De Liao
    • Chin-Teng LinLun-De Liao
    • A61B5/04A61B5/0478
    • A61B5/0408A61B5/0531A61B2562/0209A61B2562/14A61B2562/164A61B2562/182
    • A dry electrode for biomedical signal measuring sensor includes a conductive sponge, a conductive fabric, and a thin metal film. The conductive fabric covers the whole conductive sponge, and the thin metal film is disposed on one face of the conductive fabric opposite to the conductive sponge. When using the dry electrode in measuring biomedical signal, it is not necessary to apply a conductive gel on a patient's skin, at where the biomedical signal is to be measured. Without the need of applying the conductive gel, the dry electrode is readily for measuring biomedical signal at any time and can be conveniently used in measuring signal over a long period of time without the problem of an attenuated signal due to gradually becoming dried conductive gel.
    • 用于生物医学信号测量传感器的干电极包括导电海绵,导电织物和薄金属膜。 导电织物覆盖整个导电海绵,并且薄金属膜设置在与导电海绵相对的导电织物的一个面上。 当使用干电极测量生物医学信号时,不需要在要测量生物医学信号的患者皮肤上涂敷导电凝胶。 不需要施加导电凝胶,干电极在任何时间都容易用于测量生物医学信号,并且可以方便地用于长时间的测量信号中,而不会由于逐渐变干导电凝胶而引起衰减信号的问题。
    • 7. 发明申请
    • IMAGE RECOGNITION SYSTEM
    • 图像识别系统
    • US20150365634A1
    • 2015-12-17
    • US14304995
    • 2014-06-16
    • Chin-Teng Lin
    • Chin-Teng LinChao-Ting Hong
    • H04N7/18G06K9/46G06K9/62H04L29/08
    • G06K9/6267G06K9/00671G06K9/66
    • The image recognition system contains a server host and a local host data-linked to the server host. The server host contains a server modeling device. The local host contains a local capturing device, a local recognition device, and a local data device. The local capturing device captures an image of a to-be-identified object. The image is processed by the local recognition device to extract features. The local data device attempts to classify and identify the object based on the features extracted. If the local host fails to identify the object, the captured image is delivered to the server host and the server modeling device attempts to classify and identify the object. If the object is identified, a model information about the object is then sent back to the local host and the local data device stores the newly received model information.
    • 图像识别系统包含服务器主机和数据链接到服务器主机的本地主机。 服务器主机包含服务器建模设备。 本地主机包含本地捕获设备,本地识别设备和本地数据设备。 本地捕获设备捕获待识别对象的图像。 图像由本地识别设备处理以提取特征。 本地数据设备尝试根据所提取的特征对对象进行分类和识别。 如果本地主机无法识别对象,则将捕获的映像传递到服务器主机,并且服务器建模设备尝试对对象进行分类和标识。 如果对象被识别,则关于对象的模型信息然后被发送回本地主机,并且本地数据设备存储新接收的模型信息。
    • 8. 发明授权
    • Method for image resolution enhancement
    • 图像分辨率增强方法
    • US07187811B2
    • 2007-03-06
    • US10389943
    • 2003-03-18
    • Chin-Teng LinHer-Chang PuSheng-Fu LiangJia-Lin Chen
    • Chin-Teng LinHer-Chang PuSheng-Fu LiangJia-Lin Chen
    • G06K9/32
    • G06T3/4046G06T3/4007
    • The invention provides a method for image resolution enhancement, which utilizes a fuzzy analysis system simulating the human vision system and uses the neural network as a basis for digital image interpolation. After an original image is inputted in, the image analysis module will divide and classify the original image, and then each of the image being classified will be processed by either the bilinear interpolation or the neural network interpolation. Because the fuzzy analysis system is configured according to the human vision system, and because the neural network is a model obtained from learning real natural images, the vision effect of the image enlarged through the processing method of the invention is very close to the real natural image.
    • 本发明提供了一种图像分辨率增强的方法,利用模拟人类视觉系统的模糊分析系统,并利用神经网络作为数字图像插值的基础。 在输入原始图像之后,图像分析模块将对原始图像进行分割和分类,然后通过双线性插值或神经网络插值处理被分类的每个图像。 由于模糊分析系统是根据人类视觉系统进行配置的,由于神经网络是从学习真实自然图像中获取的模型,通过本发明的处理方法扩大的图像的视觉效果非常接近于真正的自然 图片。