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公开(公告)号：US09889932B2
公开(公告)日：2018-02-13
申请号：US15087298
申请日：2016-03-31
CPC分类号： B64C39/024 , B64C2201/14 , B64C2201/18 , G05D1/0676
摘要： This disclosure relates generally to Unmanned Aerial Vehicle (UAV), and more particularly to system and a method for landing of an Unmanned Aerial Vehicle (UAV). In one embodiment, the method includes estimating a 3-dimensional (3D) location of at least one media sensor mounted on the UAV relative to a marker representative of a landing location of the UAV. The marker comprises a recursive geometrical pattern. The landing of the UAV on the marker at the landing location is facilitated based on the 3D location of the at least one media sensor mounted on the UAV relative to the marker.
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12.发明授权公开(公告)号：US09774577B2
公开(公告)日：2017-09-26
申请号：US14737605
申请日：2015-06-12
发明人： Shivraj Vijayshankar Lokamathe , Rajan Mindigal Alasingara Bhattachar , Barkur Suryanarayana Adiga , Meena Singh Dilip Thakur , Balamuralidhar Purushothaman
CPC分类号： H04L63/062 , H04L9/0847 , H04L9/088 , H04L9/30 , H04L9/3073 , H04L63/0428 , H04L63/06
摘要： Disclosed are devices, systems, and methods for securing data using attribute based data access. The data may correspond to a sensory environment, and the data is secured at the device. The device secures the data by segmenting the data into number of segments and defining an access policy, further submitting the access policy to a PKG of system for generating Access Tree having attributes at different level for accessing the data. These Access Trees are securely stored on the device using IBE mechanism. Further, the data after being secured, is uploaded to a system for analysis. At the system, an access request may be received for accessing the data. The access request further includes a request attribute, whereby the system verifies if the attribute satisfies the Access Policy. If the verification is positive, an access may be provided to the data accessor for accessing the data.
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公开(公告)号：US20160219047A1
公开(公告)日：2016-07-28
申请号：US14041301
申请日：2013-09-30
IPC分类号： H04L29/06
CPC分类号： H04L63/0861 , A61B5/04842 , A61B5/117 , G06K9/00885 , G06K2009/00939 , H04L63/0428 , H04W12/06
摘要： A system and a method for secure data communication over a network are described. In one embodiment, a method comprises generating a visual flashing code containing encrypted data, wherein the visual flashing code is transmitted to a user on a user device. Further, the method comprises obtaining real time biometric data of the user from at least one biometric device connected to the user device. Furthermore, the method comprises authenticating the user based on the real time biometric data. Upon authentication, the encrypted data is decrypted at the user device based on electroencephalogram (EEG) data obtained from an EEG device, wherein the EEG data.comprises brain signals indicative of brain activity of the user corresponding to the visual flashing code.
摘要翻译： 描述了一种通过网络进行安全数据通信的系统和方法。 在一个实施例中，一种方法包括生成包含加密数据的视觉闪烁代码，其中将视觉闪烁代码发送到用户设备上的用户。 此外，该方法包括从连接到用户设备的至少一个生物测定设备获得用户的实时生物特征数据。 此外，该方法包括基于实时生物特征数据认证用户。 在认证时，基于从EEG设备获得的脑电图（EEG）数据，在用户设备处对加密的数据进行解密，其中EEG数据包括指示与视觉闪烁代码对应的用户的大脑活动的脑信号。
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公开(公告)号：US20140046144A1
公开(公告)日：2014-02-13
申请号：US13965523
申请日：2013-08-13
IPC分类号： A61B5/16
CPC分类号： A61B5/165 , A61B5/0006 , A61B5/0077 , A61B5/0205 , A61B5/02405 , A61B5/0245 , A61B5/0456 , A61B5/1116 , A61B5/486 , A61B5/7253 , A61B5/7264 , A61B2503/24 , A61B2576/00 , G06K9/0053 , G06K2009/00939
摘要： The present subject matter relates to a computer implemented method for real time determination of stress levels of an individual. The method includes receiving at least one stream of physiological data from at least one primary sensor for a predetermined duration, and preprocessing the at least one stream of physiological data to extract physiological parameters, where the preprocessing includes performing a preliminary analysis on the at least one stream of physiological data. The method further includes determining a stress level of the individual based on at least the physiological parameters, wherein the determining comprises performing a statistical analysis on the physiological parameters.
摘要翻译： 本主题涉及一种用于实时确定个人的压力水平的计算机实现方法。 该方法包括从至少一个主传感器接收至少一个生理数据流预定的持续时间，以及预处理所述至少一个生理数据流以提取生理参数，其中所述预处理包括对所述至少一个 生理数据流。 该方法还包括基于至少生理参数来确定个体的压力水平，其中确定包括对生理参数进行统计分析。
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公开(公告)号：US20130159041A1
公开(公告)日：2013-06-20
申请号：US13716800
申请日：2012-12-17
IPC分类号： G08B21/02
CPC分类号： G08B21/02 , A61B5/0022 , A61B5/0402 , A61B5/0476 , A61B5/0488 , A61B5/1112 , A61B5/18 , A61B5/7257 , G06F19/00 , G06Q10/063114 , G06Q10/06314 , G08B21/06 , G16H40/67
摘要： Systems and methods for determining an actual fatigue time (AFT) for an activity are provided. The method comprises receiving a standard fatigue time (SFT) representing a time duration. The SFT is indicative of an onset of fatigue in individuals upon continuously performing the activity. The method further comprises receiving at least one external parameter and a fatigue index corresponding to the at least one external parameter. The at least one external parameter and the fatigue index are associated with the activity. The method further comprises determining the AFT for the activity based upon the SFT and the fatigue index.
摘要翻译： 提供了用于确定活动的实际疲劳时间（AFT）的系统和方法。 该方法包括接收表示持续时间的标准疲劳时间（SFT）。 SFT表示持续进行活动后个体发生疲劳。 所述方法还包括接收与所述至少一个外部参数对应的至少一个外部参数和疲劳指数。 至少一个外部参数和疲劳指数与活动相关联。 该方法还包括基于SFT和疲劳指数确定活动的AFT。
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16.发明授权公开(公告)号：US11778219B2
公开(公告)日：2023-10-03
申请号：US17816464
申请日：2022-08-01
IPC分类号： H04N7/12 , H04N19/46 , H04N19/167 , H04N19/85 , H04N19/14 , H04N19/127 , H04N19/169 , H04N19/189
CPC分类号： H04N19/46 , H04N19/127 , H04N19/14 , H04N19/167 , H04N19/188 , H04N19/189 , H04N19/85
摘要： This disclosure relates generally to method and system for live video streaming with integrated encoding and transmission semantics. The system receives a set of frames associated with a live video stream encoded to generate a set of data fragments using a reference encoder and a delta encoder. Transmitter unit of the live video streaming protocol transmits each packet of the set of full frames and the set of delta frames in sequence with a payload specific header based on a packet mode. Further, the receiver unit receives each packet of the full frames and each packet of the delta frames based on the packet mode to reconstruct an original sequence from the foreground pixels by estimating a total number of packets expected at each frame interval and loss incurred in each packet of the set of full frames and the set of delta frames.
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公开(公告)号：US11597080B2
公开(公告)日：2023-03-07
申请号：US17015238
申请日：2020-09-09
发明人： Chayan Sarkar , Snehasis Banerjee , Pradip Pramanick , Hrishav Bakul Barua , Soumyadip Maity , Dipanjan Das , Brojeshwar Bhowmick , Ashis Sau , Abhijan Bhattacharyya , Arpan Pal , Balamuralidhar Purushothaman , Ruddra Roy Chowdhury
摘要： Conventional tele-presence robots have their own limitations with respect to task execution, information processing and management. Embodiments of the present disclosure provide a tele-presence robot (TPR) that communicates with a master device associated with a user via an edge device for task execution wherein control command from the master device is parsed for determining instructions set and task type for execution. Based on this determination, the TPR queries for information across storage devices until a response is obtained enough to execute task. The task upon execution is validated with the master device and user. Knowledge acquired, during querying, task execution and validation of the executed task, is dynamically partitioned by the TPR across storage devices namely, on-board memory of the tele-present robot, an edge device, a cloud and a web interface respectively depending upon the task type, operating environment of the tele-presence robot, and other performance affecting parameters.
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18.发明授权公开(公告)号：US11328726B2
公开(公告)日：2022-05-10
申请号：US17009317
申请日：2020-09-01
发明人： Pradip Pramanick , Chayan Sarkar , Balamuralidhar Purushothaman , Ajay Kattepur , Indrajit Bhattacharya , Arpan Pal
IPC分类号： G06F17/00 , G10L15/22 , G06F40/205 , G06F40/30
摘要： This disclosure relates generally to human-robot interaction (HRI) to enable a robot to execute tasks that are conveyed in a natural language. The state-of-the-art is unable to capture human intent, implicit assumptions and ambiguities present in the natural language to enable effective robotic task identification. The present disclosure provides accurate task identification using classifiers trained to understand linguistic and semantic variations. A mixed-initiative dialogue is employed to resolve ambiguities and address the dynamic nature of a typical conversation. In accordance with the present disclosure, the dialogues are minimal and directed to the goal to ensure human experience is not degraded. The method of the present disclosure is also implemented in a context sensitive manner to make the task identification effective.
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公开(公告)号：US20220138481A1
公开(公告)日：2022-05-05
申请号：US17201710
申请日：2021-03-15
摘要： Hyperspectral data associated with hyperspectral images received for any Region of Interest (ROI) is in form of number of pixel vectors. Unlike conventional methods in the art that treat this pixel vector as a time series, the embodiments herein provide a method and system that analyzes the pixel vectors by transforming the pixel vector into two-dimensional spectral shape space and then perform convolution over the image of graph thus formed. Learning from pixel vectors directly may not capture the spectral details efficiently. The intuition is to learn the spectral features as represented by the shape of a spectrum or in other words the features which a spectroscopy expert uses to interpret the spectrum. Method and system disclosed converts the pixel vector into image and provides a DCNN architecture that is built for processing 2D visual representation of the pixel vectors to learn spectral and classify the pixels. Thus, DCNN now learn edges, arcs, arcs segments and the other shape features of the spectrum
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公开(公告)号：US11311198B2
公开(公告)日：2022-04-26
申请号：US15069632
申请日：2016-03-14
IPC分类号： A61B5/0205 , G16H50/30 , A61B5/00 , G16Z99/00 , A61B5/024 , A61B5/16 , G06N5/04 , A61B5/18 , G06N7/00
摘要： A system and method for determining stress level of a person in real-time have been disclosed. In one aspect, the system captures physiological data associated to the person. In one embodiment, the physiological data may be captured by using a plurality of sensors attached at wrist or ankle or neck or waist or hip of the person, for a predetermined time interval. The plurality of sensors may include a wrist watch or a wristband or a textile material. The system further pre-processes the physiological data in order to extract one or more physiological parameters. In one aspect, the pre-processing may include performing an analysis on the physiological data. The system further determines the stress level of the person upon performing the statistical analysis on the one or more physiological parameters. According to another embodiment, a method for real time determination of stress level of the person has also been provided.
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