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公开(公告)号:US20230325554A1
公开(公告)日:2023-10-12
申请号:US18123769
申请日:2023-03-20
IPC分类号: G06F30/20 , H04L67/306 , A63B24/00 , A63B21/072 , A63B5/20 , A63B21/055 , A63B21/00 , G06F16/28 , G06F16/2457 , G06F16/735 , G06F16/435
CPC分类号: G06F30/20 , H04L67/306 , A63B24/0075 , A63B21/072 , A63B5/20 , A63B21/0552 , A63B21/4035 , G06F16/283 , G06F16/24578 , G06F16/735 , G06F16/436 , A63B2230/50 , H04L67/12
摘要: A method performed in a computer-implemented platform includes obtaining sensor data from sensors embedded in a first grip and a second grip of an item of fitness equipment while a user exercises using the item of fitness equipment. The user interacts with the first grip and the second grip while exercising using the item of fitness equipment. The method also includes analyzing the sensor data to determine differences in performance between the left side of the user's body and the right side of the user's body and providing personalized activity for the user to compensate for the differences.
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公开(公告)号:US20220206462A1
公开(公告)日:2022-06-30
申请号:US17694631
申请日:2022-03-14
IPC分类号: G05B19/4099 , A61B5/11 , A61B5/107
摘要: Sensor data are obtained for an activity performed by a user. The sensor data include data from one or more sensors in one or more grips gripped by the user's left hand and the user's right hand during the activity. The sensor data are analyzed to identify a difference in performance of the activity between the left side of the user's body and the right side of the user's body. Feedback is provided to the user to compensate for the difference.
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公开(公告)号:US20210279382A1
公开(公告)日:2021-09-09
申请号:US17207604
申请日:2021-03-20
IPC分类号: G06F30/20 , H04L29/08 , A63B24/00 , A63B21/072 , A63B5/20 , A63B21/055 , A63B21/00 , G06F16/28 , G06F16/2457 , G06F16/735 , G06F16/435
摘要: A platform models and correlates physical activities based on users' interactions with a simple grip-metaphor design, enabling multi-dimensions actionable information to improve the health, performance and well-being of connected grip users within like-minded communities. For example, the platform captures multi-dimensional datasets generated from activities of each of a plurality of users on the online human internet of thing platform, where the activities include physical interactions with connected grips systems connected to the online human internet of thing platform. The platform then filters the captured multi-dimensional datasets into a plurality of categories and scores the filtered multi-dimensional data by the human internet of thing platform. Finally, the platform generates a multi-dimensional information modeling for each user based on the scored multi-dimensional data.
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公开(公告)号:US12039235B2
公开(公告)日:2024-07-16
申请号:US18123769
申请日:2023-03-20
IPC分类号: G06F30/20 , A63B5/20 , A63B21/00 , A63B21/055 , A63B21/072 , A63B24/00 , G06F16/2457 , G06F16/28 , G06F16/435 , G06F16/735 , H04L67/12 , H04L67/306
CPC分类号: G06F30/20 , A63B5/20 , A63B21/0552 , A63B21/072 , A63B21/4035 , A63B24/0075 , G06F16/24578 , G06F16/283 , G06F16/436 , G06F16/735 , H04L67/306 , A63B2024/0081 , A63B2220/833 , A63B2230/04 , A63B2230/50 , H04L67/12
摘要: A method performed in a computer-implemented platform includes obtaining sensor data from sensors embedded in a first grip and a second grip of an item of fitness equipment while a user exercises using the item of fitness equipment. The user interacts with the first grip and the second grip while exercising using the item of fitness equipment. The method also includes analyzing the sensor data to determine differences in performance between the left side of the user's body and the right side of the user's body and providing personalized activity for the user to compensate for the differences.
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公开(公告)号:US11610035B2
公开(公告)日:2023-03-21
申请号:US17207604
申请日:2021-03-20
IPC分类号: H04L67/306 , A63B24/00 , A63B21/072 , A63B5/20 , A63B21/055 , A63B21/00 , H04L67/12 , G06F30/20 , G06F16/28 , G06F16/2457 , G06F16/735 , G06F16/435
摘要: A platform models and correlates physical activities based on users' interactions with a simple grip-metaphor design, enabling multi-dimensions actionable information to improve the health, performance and well-being of connected grip users within like-minded communities. For example, the platform captures multi-dimensional datasets generated from activities of each of a plurality of users on the online human internet of thing platform, where the activities include physical interactions with connected grips systems connected to the online human internet of thing platform. The platform then filters the captured multi-dimensional datasets into a plurality of categories and scores the filtered multi-dimensional data by the human internet of thing platform. Finally, the platform generates a multi-dimensional information modeling for each user based on the scored multi-dimensional data.
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