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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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2.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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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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公开(公告)号：US20220016486A1
公开(公告)日：2022-01-20
申请号：US17395656
申请日：2021-08-06
摘要： A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.
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5.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：US12102878B2
公开(公告)日：2024-10-01
申请号：US17395639
申请日：2021-08-06
CPC分类号： A63B24/0087 , A61B5/6802 , A61B5/7275 , A63B24/0006 , A63B24/0062 , A63B71/0622 , G06N20/00 , A63B2024/0009 , A63B2024/0012 , A63B2024/0065 , A63B2024/0093 , A63B2230/00
摘要： A method is disclosed for using an artificial intelligence engine to perform a control action. The control action is based on measurements from a wearable device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive the measurements as input, and outputting, based on the measurements, a control instruction that causes the control action to be performed. The method includes receiving the measurements from the wearable device being worn by a user, determining whether the measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone, and responsive to determining that the measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.
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公开(公告)号：US11957960B2
公开(公告)日：2024-04-16
申请号：US17395656
申请日：2021-08-06
IPC分类号： A63B24/00 , A63B21/00 , A63B21/002 , A63B21/005 , A63B21/22 , A63B22/00 , A63B22/06 , A63B22/18 , A63B23/035 , A63B23/04 , A63B23/08 , A63B23/12 , A63B71/06 , G06N20/00 , G16H20/30 , G16H50/20
CPC分类号： A63B24/0087 , A63B21/00076 , A63B21/4033 , A63B22/0605 , A63B23/03533 , A63B23/0355 , A63B23/0417 , A63B23/1209 , A63B24/0006 , A63B24/0062 , A63B71/0622 , G06N20/00 , G16H20/30 , G16H50/20 , A63B21/0023 , A63B21/0058 , A63B21/225 , A63B2022/0038 , A63B2022/0041 , A63B2022/0094 , A63B2022/0617 , A63B22/18 , A63B23/085 , A63B2024/0009 , A63B24/0059 , A63B2024/0065 , A63B2024/0093 , A63B2024/0096 , A63B2071/063 , A63B2071/0652 , A63B2071/0655 , A63B2071/0675 , A63B2071/068 , A63B2071/0683 , A63B2220/24 , A63B2220/30 , A63B2220/40 , A63B2220/51 , A63B2220/52 , A63B2220/805 , A63B2225/15 , A63B2225/20 , A63B2225/50 , A63B2230/06 , A63B2230/207 , A63B2230/30
摘要： A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.
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公开(公告)号：US11801423B2
公开(公告)日：2023-10-31
申请号：US17395618
申请日：2021-08-06
IPC分类号： A63B24/00 , A63B71/06 , G06N20/00 , G16H20/30 , A63B23/035 , A63B23/04 , A63B23/12 , A63B22/06 , A63B21/002 , A63B21/005 , A63B21/22 , A63B23/08 , A63B22/18 , A63B22/00
CPC分类号： A63B24/0087 , A63B22/0605 , A63B23/0355 , A63B23/03533 , A63B23/0417 , A63B23/1209 , A63B24/0006 , A63B24/0062 , A63B24/0075 , A63B71/0622 , G06N20/00 , G16H20/30 , A63B21/0023 , A63B21/0058 , A63B21/225 , A63B22/18 , A63B23/085 , A63B24/0059 , A63B2022/0038 , A63B2022/0041 , A63B2022/0094 , A63B2022/0617 , A63B2024/0009 , A63B2024/0065 , A63B2024/0093 , A63B2024/0096 , A63B2071/063 , A63B2071/068 , A63B2071/0652 , A63B2071/0655 , A63B2071/0683 , A63B2220/24 , A63B2220/30 , A63B2220/40 , A63B2220/51 , A63B2220/52 , A63B2220/805 , A63B2225/15 , A63B2225/20 , A63B2225/50 , A63B2230/06 , A63B2230/207 , A63B2230/30 , A63B2230/42 , A63B2230/50
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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