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公开(公告)号：US11951359B2
公开(公告)日：2024-04-09
申请号：US17902473
申请日：2022-09-02
CPC分类号： A63B24/0087 , A63B23/0417 , A63B24/0062 , G06N20/00 , G16H20/30 , A63B21/0058 , A63B2024/0096 , A63B2071/0675 , A63B2225/20
摘要： A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.
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公开(公告)号：US20220401794A1
公开(公告)日：2022-12-22
申请号：US17839164
申请日：2022-06-13
发明人： Michael BISSONNETTE , Luis BERGA , Steven Mason
摘要： Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise program comprising a first user energy score, wherein the method comprises generating, by the artificial intelligence engine, the exercise program including an exercise plan including a plurality of exercises. Each respective exercise is associated with user energy consumption metrics based at least on a metabolic equivalent of task (MET) value, and based on the user energy consumption metrics, the first user energy score is associated with the exercise program. The method includes receiving data pertaining to a plurality of users. The data includes physical activity goals the plurality of users desires to achieve. The method includes determining second user energy scores for the physical activity goals, and based on the first and second user energy scores, assigning, by the artificial intelligence engine, at least a subset of the plurality of users to the exercise program.
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3.发明申请公开(公告)号：US20220016482A1
公开(公告)日：2022-01-20
申请号：US17395612
申请日：2021-08-06
摘要： A method is disclosed for using an artificial intelligence engine to onboard a user for an exercise plan. The method includes generating a machine learning model trained to receive as input onboarding data associated with a user and an onboarding protocol and, based on the onboarding data and the onboarding protocol, output an exercise plan. While a user performs an exercise using the exercise device, the method includes receiving the onboarding data associated with the user. The method includes determining, by the machine learning model using the onboarding data and the onboarding protocol, a fitness level of the user. The onboarding protocol includes exercises with tiered difficulty levels, the onboarding protocol increases a difficulty level for a subsequent exercise when an exercise is completed, and based on a completion state of a last exercise performed, the fitness level is determined. The method includes selecting a difficulty level for each exercise.
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4.发明公开公开(公告)号：US20240058651A1
公开(公告)日：2024-02-22
申请号：US18497379
申请日：2023-10-30
IPC分类号： A63B24/00 , A63B71/06 , G06N20/00 , G16H20/30 , A63B23/035 , A63B23/04 , A63B23/12 , A63B22/06
CPC分类号： A63B24/0087 , A63B71/0622 , A63B24/0062 , A63B24/0075 , G06N20/00 , G16H20/30 , A63B23/0355 , A63B23/0417 , A63B23/1209 , A63B22/0605 , A63B24/0006 , A63B23/03533 , A63B2071/068 , A63B2071/063 , A63B2071/0655 , A63B21/0023
摘要： A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.
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公开(公告)号：US11904207B2
公开(公告)日：2024-02-20
申请号：US17395621
申请日：2021-08-06
CPC分类号： A63B24/0062 , A63B24/0075 , A63B71/0622 , G06N20/00 , G16H20/30 , A63B24/0087 , A63B2071/063 , A63B2071/068 , A63B2071/0655
摘要： A method is disclosed for using an artificial intelligence engine to present a user interface capable of presenting the progress of a user in domains. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a user interface that causes icons to dynamically change position on the user interface. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the exercise device. The method includes presenting, on a computing device associated with the exercise device, sections of the user interface, wherein the sections are each related to a separate domain comprising the domains and wherein, based on the measurements, each section includes the icons placed.
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公开(公告)号：US20220016484A1
公开(公告)日：2022-01-20
申请号：US17395618
申请日：2021-08-06
摘要： A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.
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公开(公告)号：US20240100396A1
公开(公告)日：2024-03-28
申请号：US18527795
申请日：2023-12-04
CPC分类号： A63B24/0062 , A63B21/4034 , A63B21/4035 , A63B22/0005 , A63B22/0605 , A63B22/203 , A63B24/0075 , A63B71/0622 , A63B2022/0094 , A63B2024/0068 , A63B2071/0627 , A63B2071/0652 , A63B2208/0233 , A63B2220/50
摘要： A system and method for improving completion of an exercise is disclosed herein. In one embodiment, a method of a control system to improve compliance with an exercise plan for an exercise machine includes receiving one or more load measurements from one or more load cells of the exercise machine. The method also includes comparing the one or more load measurements to one or more target thresholds, and determining whether the one or more load measurements exceed the one or more target thresholds. Responsive to determining that the one or more load measurements exceed the one or more target thresholds, the method also includes causing a user interface to present an indication that the one or more target thresholds have been exceeded and an exercise is complete, wherein the exercise is included in the exercise plan.
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8.发明授权公开(公告)号：US11801419B2
公开(公告)日：2023-10-31
申请号：US16874966
申请日：2020-05-15
CPC分类号： A63B22/0012 , A63B21/0023 , A63B21/4035 , A63B22/0046 , A63B22/0605 , A63B23/12 , A63B2022/0094 , A63B2022/0611 , A63B2022/0652 , A63B2071/0658 , A63B2225/09 , A63B2225/093
摘要： A system, method and apparatus for exercise and rehabilitation includes a frame coupled to a base and having a top end. An arm having a proximal end can be coupled to the top end of the frame. A distal end of the arm is opposite the proximal end. The arm is movable in a first degree of freedom between a retracted position and an extended position relative to the frame. Handles are coupled to the arm adjacent the distal end and movable in a second degree of freedom relative to the arm. The handles are manipulated by a user for exercise and rehabilitation.
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公开(公告)号：US20220314077A1
公开(公告)日：2022-10-06
申请号：US17519777
申请日：2021-11-05
发明人： Michael Bissonnette , Luis Berga , Steven Mason
摘要： A multidimensional exercise control system is disclosed herein. In one embodiment, a control system of an exercise machine comprises a memory device storing instructions, a user interface for presenting a video game with an avatar, and a processing device operatively coupled to the memory device and the user interface. The processing device is configured to execute the instructions to receive sensor data from a sensor operatively coupled to an exercise machine, wherein the sensor data comprises one or more measurements; responsive to the one or more measurements, cause the avatar to change a position in the video game; compare the one or more measurements to a target threshold; determine whether the one or more measurement exceed the target threshold; and responsive to determining that the one or more measurements exceed the target threshold, cause the user interface to present a modification to the video game.
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10.发明授权公开(公告)号：US11458363B2
公开(公告)日：2022-10-04
申请号：US16903121
申请日：2020-06-16
发明人： Philip Powers , Colin James Smith , Eric Mundt
摘要： A system and method for intelligent self-calibration of target load thresholds for users of exercise machines is disclosed herein. In one embodiment, a method includes determining, by one or more processing devices, a bone geometry of a bone in a portion of a body of a user, where said portion is going to be exercised by the user performing an exercise on an exercise machine. The method also includes determining, using the bone geometry, a strain on the bone in the portion of the body of the user such that the strain triggers osteogenesis, determining a target load threshold to be added by the user to the exercise machine during the exercise to achieve the strain that triggers osteogenesis, and, while the user performs the exercise on the exercise machine, causing the target load threshold to be represented on a user interface of a computing device.
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