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1. 发明申请

US20120141222A1 ARC SURFACE MILLING ASSISTANT PROCESSING DEVICE 有权
标题翻译： ARC表面铣削辅助加工设备
公开(公告)号：US20120141222A1
公开(公告)日：2012-06-07
申请号：US13173129
申请日：2011-06-30
申请人： ZHAO-LEI MA , HONG-JUN ZHU , CHEN-HONG HOU , XIN-MING ZHANG
发明人： ZHAO-LEI MA , HONG-JUN ZHU , CHEN-HONG HOU , XIN-MING ZHANG
IPC分类号： B23C3/00
CPC分类号： B27C5/10 , B23C3/126 , B27C5/04 , Y10T409/304144 , Y10T409/30784 , Y10T409/307896 , Y10T409/308624 , Y10T409/309016 , Y10T409/309184
摘要： An arc surface milling machine includes a worktable, a base and a backup plate. The worktable is assembled adjacent to the base. The backup plate is adjustably mounted on the base and positioned adjacent to the worktable. The worktable includes a work surface, an opposite bottom surface, and a mounting end. The base is assembled to the mounting end of the worktable. The work surface defines a concave wedge-shaped receiving space adjacent to the mounting end and forms a milling opening communicating with the work surface and the mounting end.
摘要翻译：弧面铣床包括工作台，底座和支撑板。工作台与基座相邻组装。支撑板可调节地安装在基座上并且定位在工作台附近。工作台包括工作表面，相对的底面和安装端。基座组装到工作台的安装端。工作表面限定了与安装端相邻的凹形楔形接收空间，并形成与工作表面和安装端连通的铣削开口。

2. 发明授权

US07903877B2 Radical-based HMM modeling for handwritten East Asian characters 有权
标题翻译：用于手写东亚字符的基于激进的HMM建模
公开(公告)号：US07903877B2
公开(公告)日：2011-03-08
申请号：US11682722
申请日：2007-03-06
申请人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
发明人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00 , G06K9/18
CPC分类号： G06K9/00879
摘要： Exemplary methods, systems, and computer-readable media for developing, training and/or using models for online handwriting recognition of characters are described. An exemplary method for building a trainable radical-based HMM for use in character recognition includes defining radical nodes, where a radical node represents a structural element of an character, and defining connection nodes, where a connection node represents a spatial relationship between two or more radicals. Such a method may include determining a number of paths in the radical-based HMM using subsequence direction histogram vector (SDHV) clustering and determining a number of states in the radical-based HMM using curvature scale space-based (CSS) corner detection.
摘要翻译：描述用于开发，训练和/或使用用于字符的在线手写识别的模型的示例性方法，系统和计算机可读介质。用于构建用于字符识别的可训练基于激进的基于HMM的示例性方法包括定义基本节点，其中基本节点表示字符的结构元素，并且定义连接节点，其中连接节点表示两个或更多个之间的空间关系激进分子这种方法可以包括使用子序列方向直方图向量（SDHV）聚类确定基于激进的HMM中的路径数量，并使用基于曲率空间的（CSS）角检测确定基于激进的HMM中的状态数。

3. 发明申请

US20090324082A1 CHARACTER AUTO-COMPLETION FOR ONLINE EAST ASIAN HANDWRITING INPUT 有权
标题翻译：在线东亚手写输入的字符自动完成
公开(公告)号：US20090324082A1
公开(公告)日：2009-12-31
申请号：US12146874
申请日：2008-06-26
申请人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
发明人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
IPC分类号： G06K9/18 , G06F3/033
CPC分类号： G06F3/018 , G06K9/00416 , G06K9/00429
摘要： An exemplary method includes receiving stroke information for a partially written East Asian character, the East Asian character representable by one or more radicals; based on the stroke information, selecting a radical on a prefix tree wherein the prefix tree branches to East Asian characters as end states; identifying one or more East Asian characters as end states that correspond to the selected radical for the partially written East Asian character; and receiving user input to verify that one of the identified one or more East Asian characters is the end state for the partially written East Asian character. In such a method, the selection of a radical can occur using radical-based hidden Markov models. Various other exemplary methods, devices, systems, etc., are also disclosed.
摘要翻译：一种示例性的方法包括接收部分书写的东亚字符的笔画信息，东亚字符可由一个或多个基团表示; 基于笔画信息，在前缀树上以东亚字符分支为前缀树的前缀树选择基数; 将一个或多个东亚字符识别为对应于部分写入的东亚人物的所选激进的终端状态; 并接收用户输入以验证所识别的一个或多个东亚字符中的一个是部分写入的东亚字符的结束状态。在这种方法中，可以使用基于激进的隐马尔可夫模型来进行激进的选择。还公开了各种其它示例性方法，装置，系统等。

4. 发明授权

US09207765B2 Recognizing interactive media input 有权
标题翻译：识别互动媒体输入
公开(公告)号：US09207765B2
公开(公告)日：2015-12-08
申请号：US12651305
申请日：2009-12-31
申请人： Lei Ma , Qiang Huo
发明人： Lei Ma , Qiang Huo
IPC分类号： G06F3/01 , G06F3/023 , G06F3/0488 , A63F13/20 , H04N21/4223 , H04N21/44 , H04N21/475 , H04N21/482
CPC分类号： H04N21/482 , A63F13/06 , A63F13/211 , A63F13/213 , A63F13/42 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/0236 , G06F3/0237 , G06F3/04883 , H04N21/4223 , H04N21/44008 , H04N21/4753
摘要： Techniques and systems for inputting data to interactive media devices are disclosed herein. In some aspects, a sensing device senses an object as it moves in a trajectory indicative of a desired input to an interactive media device. Recognition software may be used to translate the trajectory into various suggested characters or navigational commands. The suggested characters may be ranked based on a likelihood of being an intended input. The suggested characters may be displayed on a user interface at least in part based on the rank and made available for selection as the intended input.
摘要翻译：本文公开了用于向交互式媒体设备输入数据的技术和系统。在一些方面，当物体在指示到交互式媒体设备的期望输入的轨迹中移动时，感测装置感测对象。识别软件可用于将轨迹转换为各种建议的字符或导航命令。建议的字符可以基于作为预期输入的可能性进行排名。建议的字符可以至少部分地基于等级显示在用户界面上，并且可用于作为预期输入的选择。

5. 发明授权

US08884885B2 Touch pad, method of operating the same, and notebook computer with the same 有权
标题翻译：触摸板，操作方法和笔记本电脑相同
公开(公告)号：US08884885B2
公开(公告)日：2014-11-11
申请号：US12317075
申请日：2008-12-18
申请人： Xiangtao Liu , Lei Ma
发明人： Xiangtao Liu , Lei Ma
IPC分类号： G06F3/041 , G06F21/36 , G06F21/83 , G06F3/0488
CPC分类号： G06F3/0416 , G06F3/04883 , G06F21/36 , G06F21/83
摘要： The present invention relates to the field of touch pad. In particular, there is provided a touch pad comprising a storage unit, a sensing electrode array unit and a processing unit. A trace graph composed of coordinate values of positions on the sensing electrode array unit, touched by a user in the course of operating the touch pad is recorded; comparison is made between the trace graph and a graphical password to generate a comparison value. Since the touch pad is provided with the function of recognizing the graphical password, a computer can use it to input graphical password, text password, and various characters in various states such as BIOS state and a variety of OS states, which can enhance the security of devices such as computers and make the product more interesting and easy to use.
摘要翻译：本发明涉及触摸板领域。具体地，提供了一种触摸板，包括存储单元，感测电极阵列单元和处理单元。记录在操作触摸板的过程中由用户触摸的感测电极阵列单元上的位置的坐标值构成的轨迹图; 在跟踪图和图形密码之间进行比较以生成比较值。由于触摸板具有识别图形口令的功能，计算机可以使用它来输入诸如BIOS状态和各种OS状态的各种状态的图形密码，文本密码和各种字符，这可以增强安全性的设备，如电脑，使产品更有趣和易于使用。

6. 发明授权

US08077975B2 Handwriting symbol recognition accuracy using speech input 失效
标题翻译：使用语音输入的手写符号识别精度
公开(公告)号：US08077975B2
公开(公告)日：2011-12-13
申请号：US12037095
申请日：2008-02-26
申请人： Lei Ma , Yu Shi , Frank Kao-ping Soong
发明人： Lei Ma , Yu Shi , Frank Kao-ping Soong
IPC分类号： G06K9/00 , G06K9/62 , G06K9/72 , G06F3/00 , G10L15/26 , G09G5/00
CPC分类号： G10L15/24 , G06K9/00409 , G06K9/00422
摘要： Described is a bimodal data input technology by which handwriting recognition results are combined with speech recognition results to improve overall recognition accuracy. Handwriting data and speech data corresponding to mathematical symbols are received and processed (including being recognized) into respective graphs. A fusion mechanism uses the speech graph to enhance the handwriting graph, e.g., to better distinguish between similar handwritten symbols that are often misrecognized. The graphs include nodes representing symbols, and arcs between the nodes representing probability scores. When arcs in the first and second graphs are determined to match one another, such as aligned in time and associated with corresponding symbols, the probability score in the second graph for that arc is used to adjust the matching probability score in the first graph. Normalization and smoothing may be performed to correspond the graphs to one another and to control the influence of one graph on the other.
摘要翻译：描述了一种双模数据输入技术，通过该技术，手写识别结果与语音识别结果相结合，以提高整体识别精度。对应于数学符号的手写数据和语音数据被接收并处理（包括被识别）到各个图中。融合机制使用语音图来增强手写图，例如更好地区分经常被误识别的类似的手写符号。这些图包括表示符号的节点和表示概率分数的节点之间的弧。当第一和第二图中的弧被确定为彼此匹配时，例如在时间上对齐并与对应符号相关联时，该弧的第二图中的概率分数用于调整第一图中的匹配概率得分。可以执行归一化和平滑以将图彼此对应并且控制一个图的影响。

7. 发明申请

US20080219556A1 Radical-Based HMM Modeling for Handwritten East Asian Characters 有权
标题翻译：手写东亚人物基于激进的HMM建模
公开(公告)号：US20080219556A1
公开(公告)日：2008-09-11
申请号：US11682722
申请日：2007-03-06
申请人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
发明人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/18
CPC分类号： G06K9/00879
摘要： Exemplary methods, systems, and computer-readable media for developing, training and/or using models for online handwriting recognition of characters are described. An exemplary method for building a trainable radical-based HMM for use in character recognition includes defining radical nodes, where a radical node represents a structural element of an character, and defining connection nodes, where a connection node represents a spatial relationship between two or more radicals. Such a method may include determining a number of paths in the radical-based HMM using subsequence direction histogram vector (SDHV) clustering and determining a number of states in the radical-based HMM using curvature scale space-based (CSS) corner detection.
摘要翻译：描述用于开发，训练和/或使用用于字符的在线手写识别的模型的示例性方法，系统和计算机可读介质。用于构建用于字符识别的可训练基于激进的基于HMM的示例性方法包括定义基本节点，其中基本节点表示字符的结构元素，并且定义连接节点，其中连接节点表示两个或更多个之间的空间关系激进分子这种方法可以包括使用子序列方向直方图向量（SDHV）聚类确定基于激进的HMM中的路径数量，并使用基于曲率空间的（CSS）角检测确定基于激进的HMM中的状态数。

8. 发明授权

US08542927B2 Character auto-completion for online east asian handwriting input 有权
标题翻译：字符自动完成在线东亚手写输入
公开(公告)号：US08542927B2
公开(公告)日：2013-09-24
申请号：US12146874
申请日：2008-06-26
申请人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
发明人： Peng Liu , Lei Ma , Frank Kao-Ping Soong
IPC分类号： G06K9/18
CPC分类号： G06F3/018 , G06K9/00416 , G06K9/00429
摘要： An exemplary method includes receiving stroke information for a partially written East Asian character, the East Asian character representable by one or more radicals; based on the stroke information, selecting a radical on a prefix tree wherein the prefix tree branches to East Asian characters as end states; identifying one or more East Asian characters as end states that correspond to the selected radical for the partially written East Asian character; and receiving user input to verify that one of the identified one or more East Asian characters is the end state for the partially written East Asian character. In such a method, the selection of a radical can occur using radical-based hidden Markov models. Various other exemplary methods, devices, systems, etc., are also disclosed.
摘要翻译：一种示例性的方法包括接收部分书写的东亚字符的笔画信息，东亚字符可由一个或多个基团表示; 基于笔画信息，在前缀树上以东亚字符分支为前缀树的前缀树选择基数; 将一个或多个东亚字符识别为对应于部分写入的东亚人物的所选激进的终端状态; 并接收用户输入以验证所识别的一个或多个东亚字符中的一个是部分写入的东亚字符的结束状态。在这种方法中，可以使用基于激进的隐马尔可夫模型来进行激进的选择。还公开了各种其它示例性方法，装置，系统等。

9. 发明授权

US08224652B2 Speech and text driven HMM-based body animation synthesis 有权
标题翻译：语音和文本驱动的基于HMM的身体动画综合
公开(公告)号：US08224652B2
公开(公告)日：2012-07-17
申请号：US12239564
申请日：2008-09-26
申请人： Lijuan Wang , Lei Ma , Frank Kao-Ping Soong
发明人： Lijuan Wang , Lei Ma , Frank Kao-Ping Soong
IPC分类号： G10L21/00
CPC分类号： G10L21/06 , G06T13/205 , G10L13/00
摘要： An “Animation Synthesizer” uses trainable probabilistic models, such as Hidden Markov Models (HMM), Artificial Neural Networks (ANN), etc., to provide speech and text driven body animation synthesis. Probabilistic models are trained using synchronized motion and speech inputs (e.g., live or recorded audio/video feeds) at various speech levels, such as sentences, phrases, words, phonemes, sub-phonemes, etc., depending upon the available data, and the motion type or body part being modeled. The Animation Synthesizer then uses the trainable probabilistic model for selecting animation trajectories for one or more different body parts (e.g., face, head, hands, arms, etc.) based on an arbitrary text and/or speech input. These animation trajectories are then used to synthesize a sequence of animations for digital avatars, cartoon characters, computer generated anthropomorphic persons or creatures, actual motions for physical robots, etc., that are synchronized with a speech output corresponding to the text and/or speech input.
摘要翻译： “动画合成器”采用隐马尔可夫模型（HMM），人工神经网络（ANN）等可训练概率模型，提供语音和文本驱动的人体动画合成。根据可用数据，在各种语音级别（例如句子，短语，单词，音素，子音素等）上使用同步运动和语音输入（例如，实况或记录的音频/视频馈送）训练概率模型，以及运动类型或身体部位被建模。动画合成器然后使用可训练概率模型来基于任意文本和/或语音输入来选择一个或多个不同身体部位（例如，面部，头部，手，手臂等）的动画轨迹。然后，这些动画轨迹用于合成数字化身，卡通人物，计算机生成的拟人或生物的动画序列，物理机器人的实际动作等，其与对应于文本和/或语音的语音输出同步输入。

10. 发明申请

US20110280484A1 FEATURE DESIGN FOR HMM-BASED HANDWRITING RECOGNITION 审中-公开
标题翻译：基于HMM的手写识别的特征设计
公开(公告)号：US20110280484A1
公开(公告)日：2011-11-17
申请号：US12778155
申请日：2010-05-12
申请人： Lei MA , Qiang HUO
发明人： Lei MA , Qiang HUO
IPC分类号： G06K9/18 , G06K9/00
CPC分类号： G06K9/00416 , G06K9/00422 , G06K2209/011
摘要： The disclosed architecture is a new feature extraction approach to handwriting recognition. Given an handwriting sample (e.g., from an online source), a sequence of time-ordered dominant points are extracted, which include stroke-endings, points corresponding to local extrema of curvature, and points with a large distance to the chords formed by pairs of previously identified neighboring dominant points. At each dominant point, a multi-dimensional feature vector is extracted, which includes a combination of coordinate features, delta features, and double-delta features.
摘要翻译：所公开的架构是一种新的手写识别特征提取方法。给定手写样本（例如，从在线源），提取一系列时间排序的主要点，其中包括笔画结束，对应于曲率的局部极值的点，以及与由对形成的和弦相距很远的点的先前确定的邻近优势点。在每个优势点，提取多维特征向量，其包括坐标特征，增量特征和双三角形特征的组合。

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