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1. 发明授权

US08965762B2 Bimodal emotion recognition method and system utilizing a support vector machine 有权
标题翻译：双模态情感识别方法和利用支持向量机的系统
公开(公告)号：US08965762B2
公开(公告)日：2015-02-24
申请号：US13022418
申请日：2011-02-07
申请人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
发明人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
IPC分类号： G10L25/51 , G10L25/63 , G10L17/26 , G06K9/00
CPC分类号： G10L17/26 , G06K9/00268 , G06K9/00281 , G06K9/00308 , G06K9/6269 , G10L25/63
摘要： A method is disclosed in the present disclosure for recognizing emotion by setting different weights to at least of two kinds of unknown information, such as image and audio information, based on their recognition reliability respectively. The weights are determined by the distance between test data and hyperplane and the standard deviation of training data and normalized by the mean distance between training data and hyperplane, representing the classification reliability of different information. The method recognizes the emotion according to the unidentified information having higher weights while the at least two kinds of unidentified information have different result classified by the hyperplane and correcting wrong classification result of the other unidentified information so as to raise the accuracy while emotion recognition. Meanwhile, the present disclosure also provides a learning step with a characteristic of higher learning speed through an algorithm of iteration.
摘要翻译：在本公开中公开了一种通过分别基于它们的识别可靠性将至少两种未知信息（诸如图像和音频信息）设置不同权重来识别情感的方法。权重由测试数据与超平面之间的距离和训练数据的标准偏差确定，并通过训练数据与超平面之间的平均距离进行归一化，代表不同信息的分类可靠性。该方法根据具有较高权重的未识别信息识别情感，而至少两种未识别信息具有由超平面分类的不同结果，并纠正其他未识别信息的错误分类结果，从而在情感识别时提高准确性。同时，本公开还提供了具有通过迭代算法的较高学习速度的特征的学习步骤。

2. 发明申请

US20080201144A1 METHOD OF EMOTION RECOGNITION 审中-公开
标题翻译：感应识别方法
公开(公告)号：US20080201144A1
公开(公告)日：2008-08-21
申请号：US11835451
申请日：2007-08-08
申请人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
发明人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
IPC分类号： G10L15/00
CPC分类号： G10L15/08 , G06K9/00281 , G06K9/00308
摘要： A method is disclosed in the present invention for recognizing emotion by setting different weights to at least of two kinds of unknown information, such as image and audio information, based on their recognition reliability respectively. The weights are determined by the distance between test data and hyperplane and the standard deviation of training data and normalized by the mean distance between training data and hyperplane, representing the classification reliability of different information. The method is capable of recognizing the emotion according to the unidentified information having higher weights while the at least two kinds of unidentified information have different result classified by the hyperplane and correcting wrong classification result of the other unidentified information so as to raise the accuracy while emotion recognition. Meanwhile, the present invention also provides a learning step with a characteristic of higher learning speed through an algorithm of iteration. The learning step functions to adjust the hyperplane instantaneously so as to increase the capability of the hyperplane for identifying the emotion from an unidentified information accurately. Besides, a way of Gaussian kernel function for space transformation is also provided in the learning step so that the stability of accuracy is capable of being maintained.
摘要翻译：在本发明中公开了一种通过分别基于它们的识别可靠性将至少两种未知信息（诸如图像和音频信息）设置不同权重来识别情感的方法。权重由测试数据与超平面之间的距离和训练数据的标准偏差确定，并通过训练数据与超平面之间的平均距离进行归一化，代表不同信息的分类可靠性。该方法能够根据具有较高权重的未识别信息来识别情感，而至少两种不明信息具有由超平面分类的不同结果，并且纠正其他未识别信息的错误分类结果，以便在情绪化时提高准确性承认。同时，本发明还通过迭代算法提供具有较高学习速度特性的学习步骤。学习步骤用于立即调整超平面，从而提高超平面的能力，从而准确地识别不确定信息的情绪。此外，在学习步骤中还提供了用于空间变换的高斯核函数的方法，使得能够保持精度的稳定性。

3. 发明申请

US20110141258A1 EMOTION RECOGNITION METHOD AND SYSTEM THEREOF 有权
标题翻译：感应识别方法及其系统
公开(公告)号：US20110141258A1
公开(公告)日：2011-06-16
申请号：US13022418
申请日：2011-02-07
申请人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
发明人： Kai-Tai Song , Meng-Ju Han , Jing-Huai Hsu , Jung-Wei Hong , Fuh-Yu Chang
IPC分类号： H04N7/18
CPC分类号： G10L17/26 , G06K9/00268 , G06K9/00281 , G06K9/00308 , G06K9/6269 , G10L25/63
摘要： A method is disclosed in the present disclosure for recognizing emotion by setting different weights to at least of two kinds of unknown information, such as image and audio information, based on their recognition reliability respectively. The weights are determined by the distance between test data and hyperplane and the standard deviation of training data and normalized by the mean distance between training data and hyperplane, representing the classification reliability of different information. The method recognizes the emotion according to the unidentified information having higher weights while the at least two kinds of unidentified information have different result classified by the hyperplane and correcting wrong classification result of the other unidentified information so as to raise the accuracy while emotion recognition. Meanwhile, the present disclosure also provides a learning step with a characteristic of higher learning speed through an algorithm of iteration.
摘要翻译：在本公开中公开了一种通过分别基于它们的识别可靠性将至少两种未知信息（诸如图像和音频信息）设置不同权重来识别情绪的方法。权重由测试数据与超平面之间的距离和训练数据的标准偏差确定，并通过训练数据与超平面之间的平均距离进行归一化，代表不同信息的分类可靠性。该方法根据具有较高权重的未识别信息识别情感，而至少两种未识别信息具有由超平面分类的不同结果，并纠正其他未识别信息的错误分类结果，从而在情感识别时提高准确性。同时，本公开还提供了具有通过迭代算法的较高学习速度的特征的学习步骤。

4. 发明授权

US08437516B2 Facial expression recognition apparatus and facial expression recognition method thereof 有权
标题翻译：面部表情识别装置及其面部表情识别方法
公开(公告)号：US08437516B2
公开(公告)日：2013-05-07
申请号：US12618961
申请日：2009-11-16
申请人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Chia-Ho Lin , Chi-Yi Lin
发明人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Chia-Ho Lin , Chi-Yi Lin
IPC分类号： G06K9/00
CPC分类号： G06K9/00308
摘要： A facial expression recognition apparatus and a facial expression recognition method thereof are provided. The facial expression recognition apparatus comprises a gray image generating unit, a face edge detection unit, a motion skin extraction unit, a face contour generating unit and a facial expression recognition unit. The gray image generating unit generates a gray image according to an original image. The face edge detection unit outputs a face edge detection result according to the gray image. The motion skin extraction unit generates a motion skin extraction result according to the original image, and generates a face and background division result according to the motion skin extraction result. The face contour generating unit outputs a face contour according to the gray image, the face edge detection result and the face and background division result. The facial expression recognition unit outputs a facial expression recognition result according to the face contour.
摘要翻译：提供一种面部表情识别装置及其面部表情识别方法。面部表情识别装置包括灰度图像生成单元，脸部边缘检测单元，运动皮肤提取单元，面部轮廓生成单元和面部表情识别单元。灰度图像生成单元根据原始图像生成灰色图像。面部边缘检测单元根据灰度图像输出面部边缘检测结果。运动皮肤提取单元根据原始图像生成运动皮肤提取结果，并且根据运动皮肤提取结果生成面部和背景分割结果。面部轮廓生成部根据灰度图像，脸部边缘检测结果以及面部和背景分割结果输出面部轮廓。面部表情识别单元根据面部轮廓输出面部表情识别结果。

5. 发明申请

US20110150301A1 Face Identification Method and System Using Thereof 审中-公开
标题翻译：面部识别方法及其使用的系统
公开(公告)号：US20110150301A1
公开(公告)日：2011-06-23
申请号：US12830519
申请日：2010-07-06
申请人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang
发明人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/00288
摘要： A face identification method includes the following steps. First, first and second sets of hidden layer parameters, which respectively correspond to first and second database character vectors, are obtained by way of training according to multiple first and second training character data. Next, first and second back propagation neural networks (BPNNs) are established according to the first and second sets of hidden layer parameters, respectively. Then, to-be-identified data are provided to the first BPNN to find a first output character vector. Next, whether the first output character vector satisfies an identification criterion is determined. If not, the to-be-identified data are provided to the second BPNN to find a second output character vector. Then, whether the second output character vector satisfies the identification criterion is determined. If yes, the to-be-identified data are identified as corresponding to the second database character vector.
摘要翻译：面部识别方法包括以下步骤。首先，通过根据多个第一和第二训练人物数据进行训练，获得分别对应于第一和第二数据库字符向量的第一组和第二组隐层参数。接下来，分别根据第一和第二组隐层参数建立第一和第二反向传播神经网络（BPNN）。然后，将被识别的数据提供给第一BPNN以找到第一输出字符向量。接下来，确定第一输出字符向量是否满足识别标准。如果不是，则将待识别的数据提供给第二BPNN以找到第二输出字符向量。然后，确定第二输出字符向量是否满足识别标准。如果是，则将要识别的数据被识别为对应于第二数据库字符向量。

6. 发明申请

US20100284619A1 FACE DETECTION APPARATUS AND FACE DETECTION METHOD 有权
标题翻译：脸部检测装置和面部检测方法
公开(公告)号：US20100284619A1
公开(公告)日：2010-11-11
申请号：US12608013
申请日：2009-10-29
申请人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Ming-Feng Chiang , Chia-Ho Lin
发明人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Ming-Feng Chiang , Chia-Ho Lin
IPC分类号： G06K9/46
CPC分类号： G06K9/00228 , G06K9/4614 , G06K9/6257
摘要： A face detection apparatus and a face detection method thereof are provided. The face detection apparatus includes a rectangle integral image unit, a feature mapping unit and a cascade and score unit. The rectangle integral image unit provides a rectangle integral image according to an original image. The feature mapping unit determines a face candidate region according to rectangular face feature templates, and calculates feature values of the rectangular face feature templates according to the rectangle integral image. The cascade and score unit judges whether the face candidate region conforms to cascade conditions or not, and gives the face candidate region a score according to the feature values when the face candidate region conforms to the cascade conditions. The face candidate region is a non-face region if the score of the face candidate region is lower than a threshold value.
摘要翻译：提供一种面部检测装置及其面部检测方法。面部检测装置包括矩形积分图像单元，特征映射单元和级联和评分单元。矩形整体图像单元根据原始图像提供矩形整体图像。特征映射单元根据矩形面特征模板确定面部候选区域，并根据矩形积分图像计算矩形面部特征模板的特征值。级联和评分单元判断面部候选区域是否符合级联条件，并且当面部候选区域符合级联条件时，根据特征值给出面部候选区域的分数。如果面部候选区域的分数低于阈值，则面部候选区域是非面部区域。

7. 发明授权

US08437515B2 Face detection apparatus and face detection method 有权
标题翻译：面部检测装置和面部检测方法
公开(公告)号：US08437515B2
公开(公告)日：2013-05-07
申请号：US12608013
申请日：2009-10-29
申请人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Ming-Feng Chiang , Chia-Ho Lin
发明人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Ming-Feng Chiang , Chia-Ho Lin
IPC分类号： G06K9/00
CPC分类号： G06K9/00228 , G06K9/4614 , G06K9/6257
摘要： A face detection apparatus and a face detection method thereof are provided. The face detection apparatus includes a rectangle integral image unit, a feature mapping unit and a cascade and score unit. The rectangle integral image unit provides a rectangle integral image according to an original image. The feature mapping unit determines a face candidate region according to rectangular face feature templates, and calculates feature values of the rectangular face feature templates according to the rectangle integral image. The cascade and score unit judges whether the face candidate region conforms to cascade conditions or not, and gives the face candidate region a score according to the feature values when the face candidate region conforms to the cascade conditions. The face candidate region is a non-face region if the score of the face candidate region is lower than a threshold value.
摘要翻译：提供一种面部检测装置及其面部检测方法。面部检测装置包括矩形积分图像单元，特征映射单元和级联和评分单元。矩形整体图像单元根据原始图像提供矩形整体图像。特征映射单元根据矩形面特征模板确定面部候选区域，并根据矩形积分图像计算矩形面部特征模板的特征值。级联和评分单元判断面部候选区域是否符合级联条件，并且当面部候选区域符合级联条件时，根据特征值给出面部候选区域的分数。如果面部候选区域的分数低于阈值，则面部候选区域是非面部区域。

8. 发明申请

US20100278385A1 FACIAL EXPRESSION RECOGNITION APPARATUS AND FACIAL EXPRESSION RECOGNITION METHOD THEREOF 有权
标题翻译： FACIAL表达识别装置及其表达识别方法
公开(公告)号：US20100278385A1
公开(公告)日：2010-11-04
申请号：US12618961
申请日：2009-11-16
申请人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Chia-Ho Lin , Chi-Yi Lin
发明人： Kai-Tai Song , Meng-Ju Han , Shih-Chieh Wang , Chia-Ho Lin , Chi-Yi Lin
IPC分类号： G06K9/46
CPC分类号： G06K9/00308
摘要： A facial expression recognition apparatus and a facial expression recognition method thereof are provided. The facial expression recognition apparatus comprises a gray image generating unit, a face edge detection unit, a motion skin extraction unit, a face contour generating unit and a facial expression recognition unit. The gray image generating unit generates a gray image according to an original image. The face edge detection unit outputs a face edge detection result according to the gray image. The motion skin extraction unit generates a motion skin extraction result according to the original image, and generates a face and background division result according to the motion skin extraction result. The face contour generating unit outputs a face contour according to the gray image, the face edge detection result and the face and background division result. The facial expression recognition unit outputs a facial expression recognition result according to the face contour.
摘要翻译：提供一种面部表情识别装置及其面部表情识别方法。面部表情识别装置包括灰度图像生成单元，脸部边缘检测单元，运动皮肤提取单元，面部轮廓生成单元和面部表情识别单元。灰度图像生成单元根据原始图像生成灰色图像。面部边缘检测单元根据灰度图像输出面部边缘检测结果。运动皮肤提取单元根据原始图像生成运动皮肤提取结果，并且根据运动皮肤提取结果生成面部和背景分割结果。面部轮廓生成部根据灰度图像，脸部边缘检测结果以及面部和背景分割结果输出面部轮廓。面部表情识别单元根据面部轮廓输出面部表情识别结果。

9. 发明授权

US08214082B2 Nursing system 有权
标题翻译：护理系统
公开(公告)号：US08214082B2
公开(公告)日：2012-07-03
申请号：US12062843
申请日：2008-04-04
申请人： Chi-Yi Tsai , Fu-Sheng Huang , Chen-Yang Lin , Zhi-Sheng Lin , Chun-Wei Chen , Kai-Tai Song
发明人： Chi-Yi Tsai , Fu-Sheng Huang , Chen-Yang Lin , Zhi-Sheng Lin , Chun-Wei Chen , Kai-Tai Song
IPC分类号： G05B19/04 , A61B5/00
CPC分类号： G06F19/3418 , A61B5/1115 , G06F19/00 , G16H40/63 , G16H50/20
摘要： A nursing system of the present invention can position where a person to be nursed through a sensor network widely deployed in an environment, instantaneously detect if the person to be nursed has an accident, and forward a message to inform a relative or medical staff. An autonomous robot will actively move beside the person to be nursed and transmit real-time images to a remote computer or PDA so that the relative or medical staff can swiftly ascertain the situation of the person to be nursed and the person to be nursed in case of emergency can be rescued as soon as possible.
摘要翻译：本发明的护理系统可以通过广泛部署在环境中的传感器网络来定位要护理的人，即时检测被护理人是否发生事故，并转发消息以通知亲属或医护人员。自主机器人将主动移动到需要护理的人旁边，并将实时图像发送到远程计算机或PDA，以便相关人员或医务人员可以迅速地确定被护理人员的状况和被护理人员的情况的紧急情况可以尽快救出。

10. 发明申请

US20090303042A1 INTRUDER DETECTION SYSTEM AND METHOD 有权
标题翻译：入侵检测系统和方法
公开(公告)号：US20090303042A1
公开(公告)日：2009-12-10
申请号：US12262152
申请日：2008-10-30
申请人： Kai-Tai Song , Chia-Hao Lin , Chih-Sheng Lin , Su-Hen Yang
发明人： Kai-Tai Song , Chia-Hao Lin , Chih-Sheng Lin , Su-Hen Yang
IPC分类号： G08B13/00
CPC分类号： G08B25/009 , G08B13/19645 , G08B13/19647
摘要： This invention is an intruder detection system which integrates wireless sensor network and security robots. Multiple ZigBee wireless sensor modules installed in the environment can detect intruders and abnormal conditions with various sensors, and transmit alert to the monitoring center and security robot via the wireless mesh network. The robot can navigate in the environment autonomously and approach to a target place using its localization system. If any possible intruder is detected, the robot can approach to that location, and transmit images to the mobile devices of the securities and users, in order to determine the exact situation in real time.
摘要翻译：本发明是一种综合无线传感器网络和安全机器人的入侵者检测系统。安装在环境中的多个ZigBee无线传感器模块可以通过各种传感器检测入侵者和异常情况，并通过无线网状网络向监控中心和安全机器人发送警报。机器人可以自主地在环境中导航，并使用其定位系统接近目标地点。如果检测到任何可能的入侵者，机器人可以接近该位置，并将图像发送到证券和用户的移动设备，以便实时确定确切的情况。

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