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    • 1. 发明授权
    • Hand gesture recognizing device
    • 手势识别装置
    • US06215890B1
    • 2001-04-10
    • US09160048
    • 1998-09-25
    • Hideaki MatsuoYuji TakataTerutaka TeshimaSeiji IgiShan LuKazuyuki Imagawa
    • Hideaki MatsuoYuji TakataTerutaka TeshimaSeiji IgiShan LuKazuyuki Imagawa
    • G06F936
    • G06F3/017G06K9/00355H04N13/239H04N13/243H04N2013/0081
    • A hand gesture recognizing device is provided which can correctly recognize hand gestures at high speed without requiring users to be equipped with tools. A gesture of a user is stereoscopically filmed by a photographing device 1 and then stored in an image storage device 2. A feature image extracting device 3 transforms colors of the stereoscopic image data read from the image storage device 2 in accordance with color transformation tables created by a color transformation table creating device 13, and disassembles and outputs the feature image of the user in corresponding channels. A spatial position calculating device 4 calculates spatial positions of feature parts of the user by utilizing parallax of the feature image outputted from the feature image extracting device 4. A region dividing device 5 defines the space around the user with spatial region codes. A hand gesture detecting device 6 detects how the hands of the user move in relation to the spatial region codes. A category is detected first on the basis of the detected hand gesture, and then a sign language word in that category is specified.
    • 提供了一种手势识别装置,其可以在不需要用户配备工具的情况下以高速度正确识别手势。 用户的手势由拍摄装置1立体地拍摄,然后存储在图像存储装置2中。特征图像提取装置3根据所生成的颜色变换表,转换从图像存储装置2读取的立体图像数据的颜色 通过颜色变换表创建装置13,并且在对应的频道中分解并输出用户的特征图像。 空间位置计算装置4通过利用从特征图像提取装置4输出的特征图像的视差来计算用户的特征部分的空间位置。区域划分装置5使用空间区域码定义用户周围的空间。 手势检测装置6检测用户的手相对于空间区域代码移动的方式。 首先基于检测到的手势来检测类别,然后指定该类别中的手语。
    • 2. 发明授权
    • Device and method for recognizing hand shape and position, and recording medium having program for carrying out the method recorded thereon
    • 用于识别手形和位置的装置和方法,以及具有用于执行记录在其上的方法的程序的记录介质
    • US06819782B1
    • 2004-11-16
    • US09588948
    • 2000-06-08
    • Kazuyuki ImagawaHideaki MatsuoSeiji IgiShan Lu
    • Kazuyuki ImagawaHideaki MatsuoSeiji IgiShan Lu
    • G06K900
    • G06K9/00375G06K9/00355G06T7/74
    • An object of the present invention is to provide a device and a method for recognizing hand shape and position even if a hand image to be provided for recognition is rather complicated in shape, and a recording medium having a program for carrying out the method recorded thereon. A hand image normalization part 11 deletes a wrist region respectively from a plurality of images varied in hand shape and position before subjecting the images to normalization in hand orientation and size to generate hand shape images. An eigenspace calculation part 13 calculates an eigenvalue and an eigenvector respectively from the hand shape images under an analysis based on an eigenspace method. An eigenspace projection part 15 calculates eigenspace projection coordinates by projecting the hand shape images onto an eigenspace having the eigenvectors as a basis. A hand image normalization part 21 deletes a wrist region from an input hand image, and generates an input hand shape image by normalizing the input hand image to be equivalent to the hand shape images. An eigenspace projection part 22 calculates eigenspace projection coordinates for the input hand shape image by projecting the same onto the eigenspace having the eigenvectors as the basis. A hand shape image selection part 23 compares the eigenspace projection coordinates calculated for the input hand shape image with each of the eigenspace projection coordinates calculated for the hand shape images, and then determines which of the hand shape images is closest to the input hand shape image. A shape/position output part 24 outputs shape information and position information on the determined hand shape image.
    • 本发明的目的是提供一种用于识别手形和位置的装置和方法,即使要提供用于识别的手形图像的形状相当复杂,并且具有用于执行其上记录的方法的程序的记录介质 手图像归一化部11分别从手形和位置变化的多个图像中分离手腕区域,然后使图像在手方向和尺寸上进行归一化以产生手形图像。 本征空间计算部13基于本征空间法在分析下从手形图像分别计算特征值和特征向量。 本征空间投影部15通过将手形图像投影到具有特征向量的本征空间作为基础来计算本征空间投影坐标。 手形图像归一化部21从输入的手图像中删除腕部区域,并且通过将输入的手图像归一化为与手形图像相当的手段来生成输入的手形图像。 本征空间投影部22通过将其投影到具有特征向量的本征空间作为基础,来计算输入的手形图像的本征空间投影坐标。 手形图像选择部23将输入的手形图像计算出的本征空间投影坐标与针对手形图像计算的每个本征空间投影坐标进行比较,然后确定手形图像中哪一个最接近输入的手形图像 。 形状/位置输出部24输出关于确定的手形图像的形状信息和位置信息。
    • 3. 发明授权
    • Method and device for segmenting hand gestures
    • 分割手势的方法和装置
    • US06256400B1
    • 2001-07-03
    • US09406733
    • 1999-09-28
    • Yuji TakataHideaki MatsuoSeiji IgiShan LuYuji Nagashima
    • Yuji TakataHideaki MatsuoSeiji IgiShan LuYuji Nagashima
    • H04M1100
    • G06K9/00335
    • An object of the present invention is to provide a method of segmenting hand gestures which automatically segments hand gestures to be detected into words or apprehensible units structured by a plurality of words when recognizing the hand gestures without the user's presentation where to segment. Transition feature data in which a feature of a transition gesture being not observed during a gesture representing a word but is described when transiting from a gesture to another is previously stored. Thereafter, a motion of image corresponding to the part of body in which the transition gesture is observed is detected (step S106), the detected motion of image is compared with the transition feature data (step S107), and a time position where the transition gesture is observed is determined so as to segment the hand gestures (step S108).
    • 本发明的一个目的是提供一种分割手势的方法,其在识别手势时,自动将要检测的手势划分成由多个单词构成的单词或可理解的单元,而无需用户的呈现在哪里分割。 过渡特征数据,其中在表示单词的手势期间未观察到过渡姿势的特征,但是在从手势转移到另一姿势时被描述。 此后,检测与观察到过渡姿态的身体部位对应的图像的运动(步骤S106),将检测出的运动与转场特征数据进行比较(步骤S107),将转移的时间位置 确定手势是为了分割手势(步骤S108)。
    • 5. 发明授权
    • Method and apparatus for synthetically detecting ventricular fibrillation
    • 用于综合检测心室颤动的方法和装置
    • US07881779B2
    • 2011-02-01
    • US11607457
    • 2006-12-01
    • Wenyu YeJunbiao HongShufeng LiShan Lu
    • Wenyu YeJunbiao HongShufeng LiShan Lu
    • A61B5/0402
    • A61B5/046A61B5/7239
    • The present application discloses a complexity-based method for synthetically detecting ventricular fibrillation, which centers on complexity calculations while incorporating a plurality of feature values and thus differentiates more effectively among various types of ECG signals. The method further modifies the complexity algorithm, making it more adapted to reflecting characteristics of the VF-related signals, thereby enabling high sensitivity and specificity of detection. Further, the related calculation load is reduced according to the algorithm. As such, the method can fully satisfy the clinical needs and is aimed for solving the problems of low sensitivity, low specificity and weak anti-interference ability present in current medical equipment for detecting ventricular fibrillation, such as monitors, implanted cardioversion defibrillator (ICD), automatic external defibrillator (AED) and so on. Systems for performing the method are also disclosed.
    • 本申请公开了一种用于综合检测心室颤动的基于复杂度的方法,其基于复杂性计算,同时并入多个特征值,并因此在各种类型的ECG信号之间更有效地区分。 该方法进一步修改了复杂度算法,使其更适合于反映VF相关信号的特性,从而实现高灵敏度和检测特异性。 此外,根据算法减少相关的计算负荷。 因此,该方法可以完全满足临床需要,旨在解决目前用于检测心室颤动的医疗设备中的低灵敏度,低特异性和抗干扰能力弱的问题,如监护仪,植入式心脏复律除颤器(ICD) ,自动外部除颤器(AED)等。 还公开了用于执行该方法的系统。