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1. 发明授权

US11783615B2 Systems and methods for language driven gesture understanding 有权
公开(公告)号：US11783615B2
公开(公告)日：2023-10-10
申请号：US17353312
申请日：2021-06-21
申请人： Sandeep Gupta , Ayan Banerjee
发明人： Sandeep Gupta , Ayan Banerjee
IPC分类号： G06V40/10 , H04W4/02 , G06N20/10 , G06F1/16 , H04W4/80 , G06V20/40 , G06V40/20 , G06F3/01 , G06N3/08
CPC分类号： G06V40/107 , G06F1/163 , G06F3/017 , G06N3/08 , G06N20/10 , G06V20/46 , G06V40/28 , H04W4/027 , H04W4/80
摘要： A system and associated methods/processes includes a sensor operable to capture sensor data indicative of a gesture; and a processor in communication with a memory and the sensor. The processor is configured to execute instructions stored in the memory, which, when executed, cause the processor to access the sensor data and decompose the gesture into a canonical gesture form defining a string of gesture components arranged in a spatio-temporal order.

2. 发明申请

US20230024036A1 SYSTEMS AND METHODS FOR OPTIMIZING RISK AND TIME IN SAFETY CERTIFICATION OF CYBER-PHYSICAL SYSTEMS 有权
公开(公告)号：US20230024036A1
公开(公告)日：2023-01-26
申请号：US17813257
申请日：2022-07-18
申请人： Sandeep Gupta , Ayan Banerjee , Imane Lamrani
发明人： Sandeep Gupta , Ayan Banerjee , Imane Lamrani
IPC分类号： G06F30/27
摘要： Safety certification of cyber-physical system (CPS) such as autonomous cars or medical control systems are complicated especially due to the lack of transparency between the manufacturer and certifying authority. The manufacturer has significant restrictions in sharing knowledge with the certification authority. Further, given time constraints, it may not be feasible for the certification authority to examine internal details of the CPS. A system models the safety certification of CPS as an agile iterative game, where a manufacturer agent acting on behalf of the manufacturer and a certifier agent acting on behalf of a third-party certification entity aims to find an optimal subset of operating data to share for accurate safety certification. The certification agent, armed with CPS model mining methods and safety assessment analysis tools, aims to accurately assess safety of the CPS with the information shared.

3. 发明申请

US20200379575A1 SYSTEMS AND METHODS FOR FACILITATING ACCESSIBLE VIRTUAL EDUCATION 审中-公开
公开(公告)号：US20200379575A1
公开(公告)日：2020-12-03
申请号：US16892248
申请日：2020-06-03
申请人： Ayan Banerjee , Sandeep Gupta
发明人： Ayan Banerjee , Sandeep Gupta
IPC分类号： G06F3/01 , G06K9/00 , G09B5/14 , G09B5/06 , G06K9/62 , G06F17/18 , G06N3/08
摘要： Various embodiments of systems and methods for a learning environment for accessible virtual computer science education are disclosed.

4. 发明授权

US09626521B2 Physiological signal-based encryption and EHR management 有权
公开(公告)号：US09626521B2
公开(公告)日：2017-04-18
申请号：US14688181
申请日：2015-04-16
申请人： Sandeep Gupta , Ayan Banerjee
发明人： Sandeep Gupta , Ayan Banerjee
IPC分类号： G06F21/00 , G06F21/60 , H04W12/02 , H04L9/08 , H04L29/06 , H04B13/00 , H04W4/00 , H04W12/04 , A61B5/00
CPC分类号： G06F21/606 , A61B5/0004 , G06F2221/2107 , H04B13/005 , H04L9/0866 , H04L63/0428 , H04L2209/34 , H04L2209/805 , H04L2209/88 , H04W4/80 , H04W12/02 , H04W12/04
摘要： Systems and methods are provided for encoding and decoding data (such as, for example, an encryption key) using a physiological signal. A data item string is separated into a defined number of component segments and each component segment is used as a coefficient of a polynomial equation. A plurality of signal features are then identified from a physiological signal and a plurality of ordered pairs are created based on the plurality of identified signal features using the polynomial equation. A data package including the plurality of ordered pairs and obfuscated by a plurality of chaff points is transmitted to another system. The receiver system uses a corresponding physiological signal to filter out the chaff points and to reconstruct the polynomial equation, for example, by LaGrangian interpolation. The coefficients of the reconstructed polynomial equation are then used to derive the encoded data item string.

5. 发明授权

US12052640B2 Systems and methods for crowdsourcing real-time mobile crowd sensing applications 有权
公开(公告)号：US12052640B2
公开(公告)日：2024-07-30
申请号：US17814445
申请日：2022-07-22
申请人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
发明人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
IPC分类号： H04W4/38 , G06N7/01 , G06N20/00 , G16H50/80 , H04L67/10 , H04L67/5683 , H04W4/029 , H04W4/20 , H04W76/10 , H04W84/20
CPC分类号： H04W4/38 , G06N7/01 , G06N20/00 , G16H50/80 , H04L67/10 , H04L67/5683 , H04W4/029 , H04W4/20 , H04W76/10 , H04W84/20
摘要： Various embodiments of systems and methods for mobile crowd sensing applications are disclosed herein.

6. 发明授权

US11405759B2 Systems and methods for crowdsourcing real-time mobile crowd sensing applications 有权
公开(公告)号：US11405759B2
公开(公告)日：2022-08-02
申请号：US16902036
申请日：2020-06-15
申请人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
发明人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
IPC分类号： H04W4/38 , H04W4/20 , H04L67/10 , H04W76/10 , H04W4/029 , G16H50/80 , G06N20/00 , G06N7/00 , H04L67/5683 , H04W84/20
摘要： Various embodiments of systems and methods for mobile crowd sensing applications are disclosed herein.

7. 发明申请

US20210014654A1 SYSTEMS AND METHODS FOR CROWDSOURCING REAL-TIME MOBILE CROWD SENSING APPLICATIONS 有权
公开(公告)号：US20210014654A1
公开(公告)日：2021-01-14
申请号：US16902036
申请日：2020-06-15
申请人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
发明人： Sandeep Gupta , Ayan Banerjee , Madhurima Pore , Vinaya Chakati
IPC分类号： H04W4/38 , H04W4/20 , H04L29/08 , H04W76/10 , H04W4/029 , G16H50/80 , G06N20/00 , G06N7/00
摘要： Various embodiments of systems and methods for mobile crowd sensing applications are disclosed herein.

8. 发明申请

US20190188587A1 MODEL GUIDED DEEP LEARNING APPROACH TOWARDS PREDICTION OF PHYSICAL SYSTEM BEHAVIOR 审中-公开
公开(公告)号：US20190188587A1
公开(公告)日：2019-06-20
申请号：US16226461
申请日：2018-12-19
申请人： Sandeep Gupta , Ayan Banerjee
发明人： Sandeep Gupta , Ayan Banerjee
IPC分类号： G06N7/00 , G06N3/08 , A61B5/00 , A61B5/145
CPC分类号： G06N7/00 , A61B5/14532 , A61B5/7275 , G06N3/08
摘要： Systems and methods are provided for controlling predictive medical monitoring. A non-linear-predictive-guide model estimates a patient parameter that is used as a guide in a deep neural network for improving accuracy of estimation by the deep neural network. The guide model generates a guiding first estimated patient parameter based on the guide model and patient input data. The deep neural network generates a second estimated patient parameter based on the deep neural network, the patient input data, and the guiding first estimated patient parameter. The deep neural network includes an input layer that receives the guiding first estimated patient parameter, and hidden layers including respective artificial neurons configured to perform a linear or nonlinear transformation on output of at least one artificial neuron from an adjacent layer in the deep neural network. An output layer receives at least one output from a hidden layer.

9. 发明申请

US20170109599A1 REAL-TIME DIET ASSESSMENT AND FOOD IDENTIFICATION USING THERMAL IMAGING 审中-公开
公开(公告)号：US20170109599A1
公开(公告)日：2017-04-20
申请号：US15298581
申请日：2016-10-20
申请人： Sandeep Gupta , Ayan Banerjee
发明人： Sandeep Gupta , Ayan Banerjee
IPC分类号： G06K9/46 , G06T7/40
CPC分类号： G06K9/4652 , G01N25/72 , G01N33/02 , G06K9/00 , G06K9/6289 , G06K9/629 , G06K2209/17 , G06T7/11 , G06T7/12 , G06T7/136 , G06T7/162 , G06T7/174 , G06T7/90 , G06T2207/10024 , G06T2207/10048 , G06T2207/20061 , G06T2207/20152
摘要： Systems and methods are described for automatically identifying a food item. A color image and a thermal image are received by an electronic processor with a first food item in the field of view of both the color image and the thermal image. The electronic processor identifies a region of pixels in the color image that corresponds to the first food item based at least in part on a temperature intensity of the pixels in the identified region of pixels relative to other pixels in the thermal image. At least one feature is extracted from the identified region of pixels in the color image corresponding to the first food item and the electronic processor automatically identifies a type of food corresponding to the first food item based at least in part on the at least extracted feature.

10. 发明申请

US20150277410A1 POWER DELIVERY SYSTEM MANAGEMENT 审中-公开
标题翻译：电力输送系统管理
公开(公告)号：US20150277410A1
公开(公告)日：2015-10-01
申请号：US14667771
申请日：2015-03-25
申请人： Sandeep Gupta , Ayan Banerjee
发明人： Sandeep Gupta , Ayan Banerjee
IPC分类号： G05B19/042
CPC分类号： H02J3/383 , H02J3/008 , H02J3/32 , H02J13/0006 , Y02E10/563 , Y02E10/566 , Y02E40/72 , Y02E60/722 , Y02E70/30 , Y04S10/123 , Y04S10/14 , Y04S50/10
摘要： An energy management system includes a number of power sources, a first set of energy storage devices (ESDs), a second set of ESDs, and a control system. The first set of ESDs is coupled between the power sources and a load and has a first set of operating characteristics. The second set of ESDs is also coupled between the power sources and the load and has a second set of operating characteristics that are different from the first set of operating characteristics. The control system is configured to selectively deliver power from one of the plurality of power sources to the first plurality of ESDs, the second plurality of ESDs, or both and selectively deliver power from the first plurality of ESDs, the second plurality of ESDs, or both to the load based on short and long term variations in a set of energy delivery system characteristics.
摘要翻译：能量管理系统包括多个电源，第一组能量存储装置（ESD），第二组ESD以及控制系统。第一组ESD耦合在电源和负载之间，并具有第一组工作特性。第二组ESD也耦合在电源和负载之间，并且具有与第一组操作特性不同的第二组操作特性。所述控制系统被配置为选择性地将功率从所述多个电源中的一个供电到所述第一多个ESD，所述第二多个ESD或两者，并且选择性地从所述第一多个ESD，所述第二多个ESD或基于一组能量传递系统特性中的短期和长期变化的负载。

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