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1. 发明申请

US20170178052A1 TECHNOLOGIES FOR STRESS LEVEL MONITORING AND DYNAMIC TASK ASSIGNMENT 审中-公开
公开(公告)号：US20170178052A1
公开(公告)日：2017-06-22
申请号：US14976517
申请日：2015-12-21
申请人： Lenitra M. Durham , Giuseppe Raffa , Glen J. Anderson
发明人： Lenitra M. Durham , Giuseppe Raffa , Glen J. Anderson
IPC分类号： G06Q10/06 , G08B21/18
CPC分类号： G06Q10/063116 , G06Q10/06311 , G06Q10/063114 , G06Q10/06314 , G06Q10/0639 , G06Q10/06398
摘要： Technologies for stress monitoring and task assignment are disclosed. A wearable monitoring system worn by each user of a group of users monitors stress of each user. The wearable monitoring system transmits stress data to a server. The server analyzes the stress data of the users, determines a stress level of each of the users based on the stress data, and assigns one or more tasks to one or more users, based on the determined stress levels.

2. 发明授权

US09608952B2 Systems and methods for user device interaction 有权
公开(公告)号：US09608952B2
公开(公告)日：2017-03-28
申请号：US13714908
申请日：2012-12-14
申请人： Chieh-Yih Wan , Sangita Sharma , Giuseppe Raffa
发明人： Chieh-Yih Wan , Sangita Sharma , Giuseppe Raffa
IPC分类号： G06F15/16 , H04L12/58 , H04W4/02 , H04W4/04 , H04W4/14
CPC分类号： H04L51/14 , H04L51/046 , H04W4/025 , H04W4/046 , H04W4/14
摘要： Systems and methods for receiving a communication on one or more user devices within a vehicle and redirecting the communications based at least in part on one or more user profiles associated with occupants of the vehicle is disclosed. The redirection of the communication may further be based at least in part on one or more sensor signals or a drive characteristic associated with the vehicle.

3. 发明授权

US09535506B2 Efficient gesture processing 有权
标题翻译：高效的手势处理
公开(公告)号：US09535506B2
公开(公告)日：2017-01-03
申请号：US14205210
申请日：2014-03-11
申请人： Giuseppe Raffa , Lama Nachman , Jinwon Lee
发明人： Giuseppe Raffa , Lama Nachman , Jinwon Lee
IPC分类号： G06F1/16 , G06F3/01 , G06F3/0346
CPC分类号： G06F3/017 , G01C19/00 , G01P15/18 , G06F1/1694 , G06F3/0346 , H04M2250/12
摘要： Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.
摘要翻译：本发明的实施例描述了一种有效执行手势识别算法的系统。本发明的实施例描述了一种功率效率分级手势识别流水线，其包括多模式交互检测，基于上下文的优化识别和基于上下文的优化训练和连续学习。本发明的实施例进一步描述了根据在任何特定情况下需要的手势类型来适应许多类型的算法的系统。识别算法的示例包括但不限于用于复杂动态手势的HMM（例如在空中编写一个数字），用于静态姿势的决策树（DT），用于粗略摇动/打击手势的峰值检测或惯性方法（INS），用于俯仰/滚动检测。

4. 发明申请

US20140280137A1 SENSOR ASSOCIATED DATA OF MULTIPLE DEVICES BASED COMPUTING 有权
标题翻译：基于多个设备的传感器相关数据计算
公开(公告)号：US20140280137A1
公开(公告)日：2014-09-18
申请号：US13797981
申请日：2013-03-12
申请人： Glen J. Anderson , Richard P. Crawford , Audrey C. Younkin , Giuseppe Raffa
发明人： Glen J. Anderson , Richard P. Crawford , Audrey C. Younkin , Giuseppe Raffa
IPC分类号： G06F17/30
CPC分类号： G06F17/30309 , G06F17/3071 , G06F17/30864
摘要： Computer-readable storage media, apparatus and method associated with storing a copy of local data in a historical data store, among other embodiments, are disclosed herein. In embodiments, one or more computer-readable storage media may contain instructions which when executed by a computing device may provide access of local data to one or more applications on the computing device for contemporaneous processing by the one or more applications. The local data may be associated, at least in part, with one or more sensors of the computing device. In some embodiments, a copy of the local data may be transmitted to a remote historical data store where it may be categorized and correlated with data from computing devices associated with one or more other users for further processing.
摘要翻译：本文公开了与历史数据存储中的本地数据的副本相关联的计算机可读存储介质，装置和方法。在实施例中，一个或多个计算机可读存储介质可以包含当由计算设备执行时可以向计算设备上的一个或多个应用提供本地数据的访问以用于一个或多个应用的同时处理的指令。至少部分地，本地数据可以与计算设备的一个或多个传感器相关联。在一些实施例中，本地数据的副本可以被发送到远程历史数据存储，其中它可以被分类并与来自与一个或多个其他用户相关联的计算设备的数据相关联以用于进一步处理。

5. 发明授权

US08700012B2 Handheld electronic device using status awareness 有权
标题翻译：手持电子设备使用状态识别
公开(公告)号：US08700012B2
公开(公告)日：2014-04-15
申请号：US13539880
申请日：2012-07-02
申请人： Bran Ferren , Lama Nachman , Kieran Del Pasqua , Wendy March , John Cross Neumann , Rahul Shah , Junaith A. Shahabdeen , Jennifer A. Healey , Sushmita Subramanian , Giuseppe Raffa , Alexander Essaian , Jonathan Huang
发明人： Bran Ferren , Lama Nachman , Kieran Del Pasqua , Wendy March , John Cross Neumann , Rahul Shah , Junaith A. Shahabdeen , Jennifer A. Healey , Sushmita Subramanian , Giuseppe Raffa , Alexander Essaian , Jonathan Huang
IPC分类号： H04M1/00 , H04M3/42 , G06F3/048 , G06F3/00
CPC分类号： G06F3/04886 , G02B13/0065 , G02B13/009 , G03B3/00 , G06F3/02 , G06F3/0236 , G06F3/0237 , G06F3/041 , G06F3/0412 , G06F3/0414 , G06F3/0416 , G06F3/0418 , G06F3/04842 , G06F3/0488 , G06F3/04883 , G06F9/451 , G06F21/32 , G06K7/10811 , G06K9/00221 , G06K9/00248 , G06K9/00335 , G06K9/00604 , G06K9/00906 , G06K2207/1011 , G06Q20/4012 , G06Q20/40145 , G06Q30/02 , H04L63/083 , H04M1/72563 , H04M2250/52 , H04N5/2258 , H04N5/232 , H04N5/23296 , H04N7/183 , H04N13/239 , H04N13/243
摘要： Through status awareness, a handheld communications device may determine the location, activity, and/or physical or emotional state of the user. This information may in turn be used for various purposes, such as 1) determining how to alert the user of an incoming communication, 2) determining what format to use for communicating with the user, and 3) determining how to present the user's status to another person's communication device.
摘要翻译：通过状态感知，手持通信设备可以确定用户的位置，活动和/或身体或情绪状态。该信息可以被用于各种目的，例如1）确定如何向用户提醒进入的通信，2）确定用于与用户进行通信的什么格式，以及3）确定如何向用户呈现用户的状态另一人的通讯装置。

6. 发明申请

US20140002338A1 TECHNIQUES FOR POSE ESTIMATION AND FALSE POSITIVE FILTERING FOR GESTURE RECOGNITION 审中-公开
标题翻译：用于姿势识别和假阳性滤波的技术识别
公开(公告)号：US20140002338A1
公开(公告)日：2014-01-02
申请号：US13536262
申请日：2012-06-28
申请人： GIUSEPPE RAFFA , SANGITA SHARMA , JUNAITH AHEMED SHAHABDEEN
发明人： GIUSEPPE RAFFA , SANGITA SHARMA , JUNAITH AHEMED SHAHABDEEN
IPC分类号： G09G5/00
CPC分类号： G06F3/0346 , G06F1/1694 , G06F3/017
摘要： Techniques for pose estimation and false positive filtering for gesture recognition are described. For example, a method may comprise receiving data from one or more sensors indicating motion of an electronic device, determining if the motion comprises a gesture motion using one or more statistical gesture recognition algorithms, determining a start pose and an end pose for the gesture motion, determining if the start pose and end pose of the gesture motion correspond to a start pose and end pose of a gesture model corresponding to the gesture motion, and triggering a gesture event if the start pose and end pose of the gesture motion match the start pose and end pose of the gesture model. Other embodiments are described and claimed.
摘要翻译：描述用于姿态估计和假阳性滤波的手势识别技术。例如，方法可以包括从指示电子设备的运动的一个或多个传感器接收数据，使用一个或多个统计手势识别算法确定运动是否包括手势运动，确定手势运动的起始姿势和结束姿势确定手势运动的开始姿态和结束姿势是否对应于与手势运动相对应的手势模型的开始姿态和结束姿势，并且如果手势运动的开始姿态和结束姿势与开始相匹配，则触发手势事件手势模型的姿态和结束姿势。描述和要求保护其他实施例。

7. 发明申请

US20130335319A1 MOBILE DEVICE OPERATION USING GRIP INTENSITY 有权
标题翻译：移动设备使用GRIP强度的操作
公开(公告)号：US20130335319A1
公开(公告)日：2013-12-19
申请号：US13997160
申请日：2011-12-30
申请人： Sai Prasad Balasundaram , David Graumann , Giuseppe Raffa , Sangita Sharma
发明人： Sai Prasad Balasundaram , David Graumann , Giuseppe Raffa , Sangita Sharma
IPC分类号： G06F3/01
CPC分类号： G06F3/011 , G06F3/03547 , G06F3/0485 , G06F3/0488 , G06F2203/0339 , H04M1/72522 , H04M2250/22
摘要： Mobile device operation using grip intensity. An embodiment of a mobile device includes a touch sensor to detect contact or proximity by a user of the mobile device; a memory to store indicators of grip intensity in relation to the touch sensor; and a processor to evaluate contact to the touch sensor. The processor is to compare a contact with the touch sensor to the indicators of grip shape and firmness to determine grip intensity, and the mobile device is to receive an input for a function of the mobile device based at least in part on determined grip intensity for the mobile device.
摘要翻译：移动设备操作使用握力。移动设备的实施例包括触摸传感器，用于检测移动设备的用户的接触或接近; 用于存储相对于触摸传感器的握持强度指示的存储器; 以及用于评估与触摸传感器的接触的处理器。处理器是将触摸传感器与触摸传感器的指示器与抓地力形状和坚固度的指标进行比较以确定抓地力，并且移动装置至少部分地基于所确定的抓地力来接收用于移动装置的功能的输入移动设备。

8. 发明申请

US20120276932A1 HANDHELD ELECTRONIC DEVICE USING STATUS AWARENESS 有权
公开(公告)号：US20120276932A1
公开(公告)日：2012-11-01
申请号：US13539880
申请日：2012-07-02
申请人： Bran Ferren , Lama Nachman , Kieran Del Pasqua , Wendy March , John Cross Neumann , Rahul Shah , Junaith A. Shahabdeen , Jennifer A. Healey , Sushmita Subramanian , Giuseppe Raffa , Alexander Essaian , Jonathan Huang
发明人： Bran Ferren , Lama Nachman , Kieran Del Pasqua , Wendy March , John Cross Neumann , Rahul Shah , Junaith A. Shahabdeen , Jennifer A. Healey , Sushmita Subramanian , Giuseppe Raffa , Alexander Essaian , Jonathan Huang
IPC分类号： H04W4/20 , H04W4/02 , H04W88/02
CPC分类号： G06F3/04886 , G02B13/0065 , G02B13/009 , G03B3/00 , G06F3/02 , G06F3/0236 , G06F3/0237 , G06F3/041 , G06F3/0412 , G06F3/0414 , G06F3/0416 , G06F3/0418 , G06F3/04842 , G06F3/0488 , G06F3/04883 , G06F9/451 , G06F21/32 , G06K7/10811 , G06K9/00221 , G06K9/00248 , G06K9/00335 , G06K9/00604 , G06K9/00906 , G06K2207/1011 , G06Q20/4012 , G06Q20/40145 , G06Q30/02 , H04L63/083 , H04M1/72563 , H04M2250/52 , H04N5/2258 , H04N5/232 , H04N5/23296 , H04N7/183 , H04N13/239 , H04N13/243
摘要： Through status awareness, a handheld communications device may determine the location, activity, and/or physical or emotional state of the user. This information may in turn be used for various purposes, such as 1) determining how to alert the user of an incoming communication, 2) determining what format to use for communicating with the user, and 3) determining how to present the user's status to another person's communication device.

9. 发明申请

US20120246684A1 SYSTEMS, APPARATUS AND METHODS USING PROBABILISTIC TECHNIQUES IN TRENDING AND PROFILING AND TEMPLATE-BASED PREDICTIONS OF USER BEHAVIOR IN ORDER TO OFFER RECOMMENDATIONS 审中-公开
标题翻译：系统，装置和方法使用概率技术在趋势和分布情况以及基于模板的用户行为预测中提出建议
公开(公告)号：US20120246684A1
公开(公告)日：2012-09-27
申请号：US13130734
申请日：2009-12-15
申请人： Mark D. Yarvis , Rita H. Wouhaybi , Philip Muse , Lenitra M. Durham , Sai P. Balasundaram , Sangita Sharma , Chieh-Yih Wan , Giuseppe Raffa
发明人： Mark D. Yarvis , Rita H. Wouhaybi , Philip Muse , Lenitra M. Durham , Sai P. Balasundaram , Sangita Sharma , Chieh-Yih Wan , Giuseppe Raffa
IPC分类号： G06Q30/02 , H04N21/47 , G06N5/02
CPC分类号： G06Q30/02
摘要： An embodiment of the present invention provides a method of using probabilistic techniques in trending and profiling of user behavior in order to offer recommendations, comprising detecting patterns in user behavior over time thereby enabling a personal device associated with said user to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.
摘要翻译：本发明的一个实施例提供了一种在用户行为的趋势和分析中使用概率技术以提供建议的方法，包括随时间检测用户行为中的模式，从而使与所述用户相关联的个人设备能够预测用户可能性在某一天做某事或用户打算在已经开始的动作中完成什么。

10. 发明申请

US20120016641A1 EFFICIENT GESTURE PROCESSING 审中-公开
标题翻译：高效的加工
公开(公告)号：US20120016641A1
公开(公告)日：2012-01-19
申请号：US12835079
申请日：2010-07-13
申请人： Giuseppe Raffa , Lama Nachman , Jinwon Lee
发明人： Giuseppe Raffa , Lama Nachman , Jinwon Lee
IPC分类号： G06F17/10 , G06F15/00 , G01P15/00
CPC分类号： G06F3/017 , G01C19/00 , G01P15/18 , G06F1/1694 , G06F3/0346 , H04M2250/12
摘要： Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.
摘要翻译：本发明的实施例描述了一种有效执行手势识别算法的系统。本发明的实施例描述了一种功率效率分级手势识别流水线，其包括多模式交互检测，基于上下文的优化识别和基于上下文的优化训练和连续学习。本发明的实施例进一步描述了根据在任何特定情况下需要的手势类型来适应许多类型的算法的系统。识别算法的示例包括但不限于用于复杂动态手势的HMM（例如在空中编写一个数字），用于静态姿势的决策树（DT），用于粗略摇动/打击手势的峰值检测或惯性方法（INS），用于俯仰/滚动检测。

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