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公开(公告)号：US20210208179A1
公开(公告)日：2021-07-08
申请号：US17207294
申请日：2021-03-19
Inventor： Mahesh CHOWDHARY , Arun KUMAR , Ghanapriya SINGH , Rajendar BAHL
IPC: G01P15/00 , G06F1/16 , G01P15/18 , H04W4/029 , G06N20/10 , G10L21/10 , G06K9/62 , H04W4/50 , G06F3/0346 , G10L25/51 , G06F3/01 , H04M1/72454
Abstract: A distributed computing system for artificial intelligence in autonomously appreciating a circumstance context of a smart device. Raw context data is detected by sensors associated with the smart device. The raw context data is pre-processed by the smart device and then provided to a cloud based server for further processing. At the cloud based server, various sets of feature data are obtained from the pre-processed context data. The various sets of feature data are compared with corresponding classification parameters to determine a classification of a continuous event and/or a classification of transient event, if any, which occur in the context. The determined classification of the continuous event and the transient event will be used to autonomously configure the smart device or another related smart device to fit the context.
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公开(公告)号：US20200229710A1
公开(公告)日：2020-07-23
申请号：US16783569
申请日：2020-02-06
Inventor： Mahesh CHOWDHARY , Arun KUMAR , Ghanapriya SINGH , Rajendar BAHL
IPC: A61B5/0205 , A61B5/00 , A61B5/024 , A61B5/11 , G16H40/63
Abstract: Motion activity data is collected from at least one sensor. An initial motion activity classifier function is applied to the motion activity data to produce an initial motion activity posteriorgram. Pre-processing and segmenting the motion activity data into windows produces segmented motion activity data from which sensor specific features are extracted. An updated motion activity classifier function is generated from the extracted sensor specific features. Subsequent motion activity data is also collected from the at least one sensor, and the updated motion activity classifier function is applied to the subsequent motion activity data to produce an updated motion activity posteriorgram.
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公开(公告)号：US20190227096A1
公开(公告)日：2019-07-25
申请号：US16257694
申请日：2019-01-25
Inventor： Mahesh CHOWDHARY , Arun KUMAR , Ghanapriya SINGH , Rajendar BAHL
Abstract: A distributed computing system for artificial intelligence in autonomously appreciating a circumstance context of a smart device. Raw context data is detected by sensors associated with the smart device. The raw context data is pre-processed by the smart device and then provided to a cloud based server for further processing. At the cloud based server, various sets of feature data are obtained from the pre-processed context data. The various sets of feature data are compared with corresponding classification parameters to determine a classification of a continuous event and/or a classification of transient event, if any, which occur in the context. The determined classification of the continuous event and the transient event will be used to autonomously configure the smart device or another related smart device to fit the context.
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Patent Agency Ranking
公开(公告)号：US20240191996A1
公开(公告)日：2024-06-13
申请号：US18065557
申请日：2022-12-13
Applicant: STMicroelectronics International N.V.
Inventor： Swapnil Sayan SAHA , Denis CIOCCA , Mahesh CHOWDHARY
IPC: G01C21/00
CPC classification number: G01C21/005
Abstract: A sensor system includes a plurality of inertial measurement units (IMU) and a control circuit. The control circuit is configured to receive sensor data from each of the inertial measurement units two alignment the timestamps of the sensor data, and to fuse the sensor data from the various IMUs. The control circuit detects whether the sensor data indicates a high degree movement or a low degree of movement and selects a high dynamic fusion process or a low dynamic fusion process based on the detected degree of movement.
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公开(公告)号：US20190034150A1
公开(公告)日：2019-01-31
申请号：US16045269
申请日：2018-07-25
Inventor： Benedetto VIGNA , Mahesh CHOWDHARY , Matteo DAMENO
Abstract: A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.
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公开(公告)号：US20240188837A1
公开(公告)日：2024-06-13
申请号：US18063021
申请日：2022-12-07
Inventor： Mahesh CHOWDHARY , Vijay KUMAR , Goldy , Kolin PAUL
CPC classification number: A61B5/021 , A61B5/026 , A61B5/1102 , A61B5/6833 , A61B5/7267 , A61B5/7278 , A61B2562/0219 , A61B2562/043
Abstract: A blood pressure monitoring device includes a patch including two inertial measurement units placed adjacent to the skin of a user. The blood pressure monitoring device includes a control unit coupled to the patch and configured to receive sensor data from the inertial measurement units. The control unit includes an analysis model trained with multiple machine learning processes to generate blood pressure estimations based on the sensor data. A first general machine learning process trains the analysis model with a training set gathered from plurality of other individuals. The second general machine learning process retrains a portion of the analysis model with a second machine learning process utilizing individualized training set gathered from the user.
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公开(公告)号：US20250058449A1
公开(公告)日：2025-02-20
申请号：US18451762
申请日：2023-08-17
Applicant: STMicroelectronics International N.V.
Inventor： Mahesh CHOWDHARY , Krishna Chaitanya PALLE HAYAGREEVA
IPC: B25F5/00
Abstract: The present disclosure is directed to kickback detection for devices, such as handheld drills. Kickback is detected using a gyroscope and an accelerometer, and is detected at the end of each of a plurality of time windows. At the end of each time window, kickback is detected based on, for example, a variance of a norm of gyroscope measurements. False kickback detections are then removed based on, for example, a minimum and a mean of accelerometer measurements. Kickback detection is completed before the next time window begins.
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公开(公告)号：US20210349672A1
公开(公告)日：2021-11-11
申请号：US17380754
申请日：2021-07-20
Inventor： Benedetto VIGNA , Mahesh CHOWDHARY , Matteo DAMENO
Abstract: A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.
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