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公开(公告)号:US12226358B2
公开(公告)日:2025-02-18
申请号:US18419507
申请日:2024-01-22
Applicant: Marcus Curry
Inventor: Marcus Curry
Abstract: An inversion table that incorporates additional therapies, such as massage, traction, and heat. Therapeutic elements of the inversion table may be programmable, so that settings are cycled automatically through preprogrammed patterns. The table may have one or more back massage elements that travel along tracks in the table to massage different portions of the back, and similar neck massage elements that massage different portions of the neck. Traction actuators may apply traction forces to the head and the legs. One or more heating pads may apply heat to any portion of the body. Settings for the therapeutic elements may be controlled by a processor that may execute stored therapy programs, or may respond to user input from a controller or a smartphone.
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公开(公告)号:US12221257B1
公开(公告)日:2025-02-11
申请号:US18651666
申请日:2024-04-30
Applicant: Grand Cru Vault, LLC
Inventor: Paul Anderson
Abstract: A bottle pressure seal with environmental data logging that is coupled to a bottle and that seals the atmospheric pressure outside of the bottle so that the internal pressure of the bottle and cork are maintained at whatever pressure they came into equilibrium with regardless of the external pressure outside of device and bottle. In the event of air travel, where the pressure can be on the order of 2500 to 3500 meters, the internal pressure of the bottle and the pressure on the cork remains at the initial pressure at the time that the device was placed on the bottle.
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公开(公告)号:US12124885B2
公开(公告)日:2024-10-22
申请号:US17901798
申请日:2022-09-01
Applicant: BULL SAS
Inventor: Florent Chabaud
CPC classification number: G06F9/5072 , G06F21/31 , G06F21/53 , G06F21/602 , G06F21/79 , G06F2221/2143
Abstract: A High Performance Computing (HPC) machine comprising several computing processors interconnected through at least one network, and at least one primary management unit, in a vicinity of at least one computing processor. The at least one primary management unit powers on the at least one processor. The at least one primary management unit (comprises a random data item generator, and a secure storage memory for storing a secret data item, common to all computing processors of the HPC machine, and used for authentication of each computing processor of the HPC machine for data exchange in the HPC machine.
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公开(公告)号:US12067464B2
公开(公告)日:2024-08-20
申请号:US17104208
申请日:2020-11-25
Applicant: TeamViewer Germany GmbH
Inventor: Hendrik Witt , Oliver Gruhlke , Amjad Yassin , Kai Zimmermann
Abstract: The invention relates to a method of performing a process using artificial intelligence. The method comprises running, by a computing device, an application configured to perform a process which uses an artificial intelligence model for processing signals and defining at least one parameter set for performing the at least one process; running, by the computing device, a user-driven workflow engine which comprises multiple modules including at least a first and second module; defining, by the first module, a context of the process and generating corresponding context information, providing the artificial intelligence model based on the generated context information of the process; and using, by the second module, the artificial intelligence model in a user-driven workflow within the application while executing the process. Advantageously, the combination of these modules describes an end-to-end connection which is self-learning and self-improving and is targeted at users with no expertise in the AI domain.
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公开(公告)号:US12058158B2
公开(公告)日:2024-08-06
申请号:US17869730
申请日:2022-07-20
Applicant: BULL SAS
Inventor: Mathieu Garchery , Zerhoudi Saber , Michael Granitzer
IPC: H04L9/40 , H04L67/306 , H04L67/50
CPC classification number: H04L63/1425 , H04L67/306 , H04L67/535
Abstract: A method and system for intrusion detection to detect malicious insider threat activities within a network of user profiles. The method includes training a Neural Network on multiple sets of user profile data for multiple user profiles and on multiple sets of activity data of the multiple user profiles of the network, such that the Neural Network is capable of predicting for future dates activities for multiple user profiles. The method includes applying the trained Neural Network on the set of further user profile data of the further user profile, predicting an activity of the further user profile based on the multiple sets of activity data by the trained Neural Network, observing activity of the further user profile, applying the trained Neural Network on the observed activity, and detecting malicious activity for the further user profile by the trained Neural Network, if the observed activity deviates from the predicted activity.
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公开(公告)号:USD1036675S1
公开(公告)日:2024-07-23
申请号:US29837096
申请日:2022-05-02
Applicant: Digital Rehabilitation Ltd.
Designer: Roisin Scallan , Dara Meldrum
Abstract: FIG. 1 is a upper right perspective view of a position sensor.
FIG. 2 is a right side view of the position sensor of FIG. 1 of which the left side view is a mirror image.
FIG. 3 is a top view of the position sensor of FIG. 1.
FIG. 4 is a bottom view of the position sensor of FIG. 1.
FIG. 5 is a front view of the position sensor of FIG. 1; and,
FIG. 6 is a rear view of the position sensor of FIG. 1.
The broken lines showing portions of the article form no part of the claimed design.-
公开(公告)号:US12005344B2
公开(公告)日:2024-06-11
申请号:US17878835
申请日:2022-08-01
Applicant: Blast Motion Inc.
Inventor: Juergen Haas , Bhaskar Bose , Michael Bentley , Ryan Kaps
IPC: A63F13/42 , A63F13/211 , A63F13/235 , A63F13/25 , A63F13/525 , A63F13/833 , G06T19/00 , A63F13/812 , G06T15/20
CPC classification number: A63F13/211 , A63F13/235 , A63F13/25 , A63F13/42 , A63F13/525 , A63F13/833 , G06T19/006 , A63F13/812 , A63F2300/105 , A63F2300/8082 , G06T15/20
Abstract: A system that mirrors motion of a physical object by displaying a virtual object moving in a virtual environment. The mirroring display may be used for example for feedback, coaching, or for playing virtual games. Motion of the physical object is measured by motion sensors that may for example include an accelerometer, a gyroscope, and a magnetometer. Sensor data is transmitted to a computer that calculates the position and orientation of the physical object and generates a corresponding position and orientation of the virtual object. The computer may correct or adjust the calculations using sensor data redundancies. The virtual environment may include constraints on the position, orientation, or motion of the virtual object. These constraints may be used to compensate for accumulating errors in position and orientation. The system may for example use proportional error feedback to adjust position and orientation based on sensor redundancies and virtual environment constraints.
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公开(公告)号:USD1028262S1
公开(公告)日:2024-05-21
申请号:US29801820
申请日:2021-07-30
Applicant: Marcus Curry
Designer: Marcus Curry
Abstract: FIG. 1 is an upper front perspective view of a heating pad of which the lower rear perspective view is a mirror image.
FIG. 2 is a top view of the heating pad as shown in FIG. 1, of which the bottom view is a mirror image.
FIG. 3 is a front view of the heating pad as shown in FIG. 1, of which the rear view is a mirror image; and,
FIG. 4 is a left view of the heating pad as shown in FIG. 1, of which the right view is a mirror image.
The broken lines depict portions of the heating pad that form no part of the claimed design.-
公开(公告)号:US11990160B2
公开(公告)日:2024-05-21
申请号:US18067689
申请日:2022-12-16
Applicant: BLAST MOTION INC.
Inventor: Bhaskar Bose , Michael Bentley , Ryan Kaps
IPC: A63F13/211 , A63B24/00 , A63B71/06 , A63F13/00 , A63F13/212 , A63F13/213 , A63F13/217 , G01P13/00 , G06T7/20 , G06V20/40 , G06V40/20 , G11B20/10 , G11B27/031 , G11B27/34 , H04N5/765 , H04N5/77 , H04N5/91 , H04N7/18 , H04N23/80 , H04N23/90 , G08B21/04 , G08B25/01
CPC classification number: G11B27/34 , A63B24/0003 , A63B24/0062 , A63B71/06 , A63F13/00 , A63F13/211 , A63F13/212 , A63F13/213 , A63F13/217 , G01P13/00 , G06T7/20 , G06V20/40 , G06V20/42 , G06V40/23 , G11B20/10527 , G11B27/031 , H04N5/765 , H04N5/77 , H04N5/91 , H04N7/188 , H04N23/80 , H04N23/90 , A63B2024/0071 , A63B2220/34 , A63B2220/44 , A63B2220/803 , A63B2220/806 , A63B2225/20 , A63B2230/06 , A63F2300/105 , A63F2300/69 , G06T2207/10016 , G06T2207/30221 , G06V20/44 , G08B21/043 , G08B21/0492 , G08B25/016 , G11B2020/10592
Abstract: A sensor event detection system including a motion capture element and another sensor. The sensor captures values associated with an orientation, position, velocity and acceleration and recognizes an event within the data to determine event data. Uses other values associated with a temperature, humidity, wind and elevation, i.e., environmental and physiological sensors and correlates the data or event data with the other values to determine a type of event or true event or a false positive event, or a type of equipment the motion capture element is coupled with, or a type of activity indicated by the data or event data and transmits the data or event data associated with the event.
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公开(公告)号:US11983861B2
公开(公告)日:2024-05-14
申请号:US17329053
申请日:2021-05-24
Applicant: Atos Information Technology GmbH
Inventor: Wolfgang Thronicke
IPC: G06T7/00 , B64C39/02 , G06T7/73 , B64U101/30
CPC classification number: G06T7/0006 , B64C39/024 , G06T7/74 , B64U2101/30 , G06T2207/10032 , G06T2207/20084 , G06T2207/30184
Abstract: A system (1) for examining an object (2) for errors comprises a monitoring device (3), a processing module (5), a capturing device (4) and a recognition module (6). The monitoring device (3) is designed to monitor at least one parameter. A specified range of the parameter defines a context within which a result of a recognition of at least parts of the object (2) is expected. The processing module (5) is designed to prove whether the monitored parameter is within the specified range and in this case to trigger the capturing device (4) which is designed to capture input data associated with the object (2). The recognition module (6) is pre-trained for recognizing the object (2) and to perform the recognition based on the input data. The recognition module (6) is designed to detect an error if a result of the recognition is not corresponding to the expected result.
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