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1. 发明授权

US08928671B2 Recording and analyzing data on a 3D avatar 有权
标题翻译：记录和分析3D头像上的数据
公开(公告)号：US08928671B2
公开(公告)日：2015-01-06
申请号：US12954441
申请日：2010-11-24
申请人： B. Thomas Adler , David Marvit , Jawahar Jain
发明人： B. Thomas Adler , David Marvit , Jawahar Jain
IPC分类号： G06T15/00 , G06F19/00 , A61B5/00 , A61B5/08 , G06Q10/00 , G06Q50/24 , A61B5/091 , A61B5/11 , A61B5/1455 , A61B5/16
CPC分类号： G06F19/3418 , A61B5/0022 , A61B5/0024 , A61B5/08 , A61B5/0816 , A61B5/091 , A61B5/1118 , A61B5/1121 , A61B5/14551 , A61B5/165 , A61B5/4803 , A61B5/744 , A61B2562/0219 , G06F19/00 , G06Q10/00 , G06Q50/24 , G16H10/20 , G16H10/60 , G16H50/20 , G16H50/50
摘要： In particular embodiments, a method includes generating a 3D display of an avatar of a person, where the avatar can receive inputs identifying a type of a physiological event, a location of the physiological event in or on a person's body in three spatial dimensions, a time range of the physiological event, a quality of the physiological event, and rendering the physiological event on the avatar based on the inputs.
摘要翻译：在特定实施例中，一种方法包括生成人的化身的3D显示，其中化身可以在三个空间维度中接收识别生理事件的类型的生理事件的位置，或人体身上的生理事件的位置，生理事件的时间范围，生理事件的质量，以及基于输入在化身上呈现生理事件。

2. 发明授权

US08874607B2 Representing sensor data as binary decision diagrams 有权
标题翻译：将传感器数据表示为二进制决策图
公开(公告)号：US08874607B2
公开(公告)日：2014-10-28
申请号：US12857594
申请日：2010-08-17
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F17/30
CPC分类号： G06F17/30949
摘要： According to certain embodiments, a set of samples of sensor data is accessed. The set of samples records measurements taken by one or more sensors. Each sample is represented as a minterm to yield a set of minterms. A characteristic function is generated from the set of minterms. The characteristic function indicates whether a given minterm is a member of the set of minterms.
摘要翻译：根据某些实施例，访问传感器数据的一组样本。该组样本记录了一个或多个传感器进行的测量。每个样本都表示为minterm，以产生一组minterms。从一组minterms生成一个特征函数。特征函数表示一个给定的minterm是否是一组minterms的成员。

3. 发明授权

US08838523B2 Compression threshold analysis of binary decision diagrams 有权
标题翻译：二元决策图的压缩阈值分析
公开(公告)号：US08838523B2
公开(公告)日：2014-09-16
申请号：US13242095
申请日：2011-09-23
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06N5/00 , G06F1/00 , G06F19/00
CPC分类号： G06F19/3418 , G06F19/00 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70
摘要： In particular embodiments, a method includes receiving data sets, constructing a first binary decision diagram (BDD) representing the data sets, iteratively adding data from the data sets to the first BDD until a compression rate of the first BDD reaches a threshold compression rate, constructing a second BDD representing data from the data sets received after the compression rate of the first BDD equals a threshold compression rate, and iteratively adding data from the data sets to the second BDD.
摘要翻译：在特定实施例中，一种方法包括接收数据集，构建表示数据集的第一二进制判决图（BDD），将数据集中的数据迭代地添加到第一BDD，直到第一BDD的压缩率达到阈值压缩率，构建从第一BDD的压缩率之后接收的数据集中的数据的第二BDD等于阈值压缩率，并且将数据集中的数据迭代地添加到第二BDD。

4. 发明授权

US08812943B2 Detecting data corruption in medical binary decision diagrams using hashing techniques 有权
标题翻译：使用散列技术检测医疗二进制决策图中的数据损坏
公开(公告)号：US08812943B2
公开(公告)日：2014-08-19
申请号：US13243104
申请日：2011-09-23
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F11/00
CPC分类号： G06F19/3418 , G06F19/00 , G16H40/40 , G16H50/20
摘要： In particular embodiments, a method includes receiving from a remote system a binary decision diagram (BDD) representing data streams from sensors, an input, and a first hash code, transforming the received BDD to a second arithmetic function by performing the arithmetic transformation on the received BDD, calculating a second hash code from the second arithmetic function and the input, and if the first hash code equals the second hash code, then indicating that the received BDD is uncorrupted data, else indicating that the received BDD is corrupted data.
摘要翻译：在特定实施例中，一种方法包括从远程系统接收表示来自传感器，输入和第一散列码的数据流的二进制决策图（BDD），其通过对所接收的BDD进行算术变换来将接收到的BDD变换为第二算术函数接收BDD，从第二算术函数和输入计算第二散列码，并且如果第一散列码等于第二散列码，则指示所接收的BDD是未被破坏的数据，否则指示所接收的BDD是损坏的数据。

5. 发明授权

US08719214B2 Combining medical binary decision diagrams for analysis optimization 有权
标题翻译：结合医学二元决策图进行分析优化
公开(公告)号：US08719214B2
公开(公告)日：2014-05-06
申请号：US13241698
申请日：2011-09-23
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F17/00 , G06N7/00 , G06N7/08
CPC分类号： G06F19/3418 , G05B23/0221 , G06F19/00 , G16H50/20 , H04L67/12
摘要： In particular embodiments, a method includes accessing first binary decision diagrams (BDDs) representing data streams from sensors, selecting portions from the first BDDs based on ease-of-analysis, and constructing a second BDD by performing an OR operation between the selected portions of the first BDDs.
摘要翻译：在特定实施例中，一种方法包括访问表示来自传感器的数据流的第一二进制决策图（BDD），基于易于分析从第一BDD中选择部分，以及通过在所选择的部分之间执行OR运算来构建第二BDD 第一个BDD。

6. 发明授权

US08645108B2 Annotating binary decision diagrams representing sensor data 有权
标题翻译：注释表示传感器数据的二进制决策图
公开(公告)号：US08645108B2
公开(公告)日：2014-02-04
申请号：US12857613
申请日：2010-08-17
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F17/50
CPC分类号： G06F17/30286
摘要： According to certain embodiments, one or more sets of model samples of model sensor data are accessed. Each set comprises one or more model samples corresponding to an annotation of one or more annotations. The following are performed for each set to yield one or more annotated model characteristic functions: represent each model sample of the each set as a model minterm to yield a set of model minterms; generate a model characteristic function from the set of model minterms, the model characteristic function indicating whether a given minterm is a member of the set of model minterms; and annotate the model characteristic function to yield an annotated model characteristic function. A general model characteristic function is generated from the one or more annotated model characteristic functions.
摘要翻译：根据某些实施例，访问模型传感器数据的一组或多组模型样本。每个集合包括对应于一个或多个注释的注释的一个或多个模型样本。对每个集合执行以下操作以产生一个或多个注释的模型特征函数：将每个集合的每个模型样本表示为模型minterm以产生一组模型Minterms; 从模型小组集合中生成模型特征函数，模型特征函数指示给定minterm是否是模型Minterms集合的成员; 并注释模型特征函数，以产生注释模型特征函数。从一个或多个注释模型特征函数生成一般模型特征函数。

7. 发明授权

US08622901B2 Continuous monitoring of stress using accelerometer data 有权
标题翻译：使用加速度计数据连续监测压力
公开(公告)号：US08622901B2
公开(公告)日：2014-01-07
申请号：US13107644
申请日：2011-05-13
申请人： Jawahar Jain , David Loren Marvit , B. Thomas Adler , Rajalakshmi Balakrishnan , Alexander Gilman , Stergios Stergiou
发明人： Jawahar Jain , David Loren Marvit , B. Thomas Adler , Rajalakshmi Balakrishnan , Alexander Gilman , Stergios Stergiou
IPC分类号： A61B5/00
CPC分类号： A61B5/165 , A61B5/0022 , A61B5/0024 , A61B5/7232 , G06F19/00 , G16H40/67
摘要： In particular embodiments, a method includes accessing data streams from an accelerometer and one or more of a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor monitoring a person, analyzing data sets collected from the person when the person is engaged in various activities, and determining a current stress index of the person based on the analysis.
摘要翻译：在具体实施例中，一种方法包括从加速度计和一个或多个心率监测器，血压监测器，脉搏血氧计或监测人的心情传感器中访问数据流，分析从人收集的数据集，该人从事各种活动，并根据分析确定人员目前的压力指数。

8. 发明授权

US08622900B2 Calculating and monitoring the efficacy of stress-related therapies 有权
标题翻译：计算和监测应激相关疗法的疗效
公开(公告)号：US08622900B2
公开(公告)日：2014-01-07
申请号：US13107605
申请日：2011-05-13
申请人： Jawahar Jain , David Loren Marvit , B. Thomas Adler , Rajalakshmi Balakrishnan , Alexander Gilman , Stergios Stergiou , Albert C. Braun , Madan Bahadur
发明人： Jawahar Jain , David Loren Marvit , B. Thomas Adler , Rajalakshmi Balakrishnan , Alexander Gilman , Stergios Stergiou , Albert C. Braun , Madan Bahadur
IPC分类号： A61B5/00
CPC分类号： A61B5/165 , A61B5/0022 , A61B5/02055 , A61B5/021 , A61B5/02416 , A61B5/02438 , A61B5/14532 , A61B5/4848 , A61B5/7232 , A61B2560/0242 , A61B2562/0219 , G06F19/00 , G06F19/3418
摘要： In particular embodiments, a method includes accessing data streams from at least two of an accelerometer, a heart-rate monitor, a blood-pressure monitor, a pulse oximeter, or a mood sensor monitoring a person, analyzing data sets collected from the person when the person is engage and not engaged in a therapy, and determining a current stress factor for the therapy on the person based on the analysis.
摘要翻译：在具体实施例中，一种方法包括从加速度计，心率监测器，血压监测器，脉搏血氧计或监测人的心情传感器中的至少两个访问数据流，分析从人收集的数据集，该人从事治疗，并且基于该分析确定对该人的治疗的当前应激因子。

9. 发明授权

US08595179B2 Determining optimum variable orders for BDDs using pair-wise variable grouping 有权
标题翻译：使用成对变量分组确定BDD的最佳变量顺序
公开(公告)号：US08595179B2
公开(公告)日：2013-11-26
申请号：US12901779
申请日：2010-10-11
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F17/00 , G06N7/00 , G06N7/08
CPC分类号： G06F17/505 , G06N5/003
摘要： One embodiment accesses a binary decision diagram (BDD) representing a function having n variables, where n≧2, wherein the BDD comprises n layers corresponding to the n variables, respectively; separates the n variables into n ! 2 ⌊ n / 2 ⌋ groups, wherein each group comprises ⌈ n 2 ⌉ ordered sets, and each set in each group comprises 1 or 2 variables; for each of the n ! 2 ⌊ n / 2 ⌋ groups, determines a locally optimum variable order that yields a smallest size among 2└n/2┘ different variable orders of the BDD obtained within the group; and selects from n ! 2 ⌊ n / 2 ⌋ locally optimum variable orders corresponding to the n ! 2 ⌊ n / 2 ⌋ groups an optimum variable order of the BDD that yields a smallest size among the n ! 2 ⌊ n / 2 ⌋ locally optimum variable orders.
摘要翻译：一个实施例访问表示具有n个变量的函数的二进制判定图（BDD），其中n> = 2，其中BDD分别包括对应于n个变量的n个层; 将n个变量分成n个！ 2⌊n / 2⌋组，其中每组包括⌈n 2⌉有序集，每组包含1或2个变量; 为每个n！ 2⌊n / 2⌋组，确定在组内获得的BDD的不同可变顺序中产生最小尺寸的局部最优变量顺序; 并从n中选择！ 2⌊n / 2⌋本地最优变量对应于n！ 2⌊n / 2⌋组合BDD的最佳变量顺序，其在n中产生最小的尺寸！ 2⌊n / 2⌋局部最优变量订单。

10. 发明授权

US08583718B2 Comparing boolean functions representing sensor data 有权
标题翻译：比较表示传感器数据的布尔函数
公开(公告)号：US08583718B2
公开(公告)日：2013-11-12
申请号：US12857628
申请日：2010-08-17
申请人： Stergios Stergiou , Jawahar Jain
发明人： Stergios Stergiou , Jawahar Jain
IPC分类号： G06F17/14
CPC分类号： G06F17/18
摘要： According to certain embodiments, a first Boolean function and a second Boolean function are received. The first Boolean function represents a first data set, and the second Boolean function represents a second data set. The first Boolean function and the second Boolean function are transformed to a first arithmetic function and a second arithmetic function, respectively. A first hash code and a second hash code are calculated from the first arithmetic function and the second arithmetic function, respectively. If the first hash code equals the second hash code, the first Boolean function and the second Boolean function are designated as equivalent; otherwise, the first Boolean function and the second Boolean function are designated as not equivalent.
摘要翻译：根据某些实施例，接收第一布尔函数和第二布尔函数。第一个布尔函数表示第一个数据集，第二个布尔函数表示第二个数据集。第一布尔函数和第二布尔函数分别转换为第一算术函数和第二算术函数。第一散列码和第二散列码分别从第一算术函数和第二算术函数计算。如果第一个哈希码等于第二个哈希码，则第一个布尔函数和第二个布尔函数被指定为等效的; 否则，第一个布尔函数和第二个布尔函数被指定为不等效。

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