Data Processing Method for Exercise Energy Calculation
Summary
The USPTO granted patent US12609191B2 to Beijing Zitiao Network Technology Co., Ltd. covering a data processing method that acquires exercise data from a user's head, hands, and legs over a preset time period and processes it through a pre-trained energy determination model to calculate energy consumed. The patent includes 17 claims and covers CPC classifications related to health informatics, neural network energy models, and physiological measurement devices.
“inputting the exercise data and the physical parameter into a pre-trained energy determination model for processing to obtain energy consumed by the user in the preset time period.”
What changed
USPTO granted patent US12609191B2 to Beijing Zitiao Network Technology Co., Ltd. for a data processing method involving acquisition of exercise data from a user's head, hand, and leg over a preset time period, combined with user-set physical parameters, processed through a pre-trained energy determination model to estimate energy consumed. The patent was filed on 2024-03-14 with application number 18605328 and contains 17 claims.
Affected parties include technology companies developing health informatics, wearable exercise monitoring systems, or AI-driven fitness applications. While patent grants do not create immediate compliance obligations, entities developing similar energy-calculation methods using motion sensor data should review the scope of the granted claims to assess potential IP considerations.
Archived snapshot
Apr 22, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Data processing method and device
Grant US12609191B2 Kind: B2 Apr 21, 2026
Assignee
Beijing Zitiao Network Technology Co., Ltd.
Inventors
Li Li, Matthew Boring, Dongpo Li, Yun Liao, Runchen Zhao, Tianjia Sun, Guanqun Zhang, Can Jin
Abstract
The present disclosure provides a data processing method and device, the method includes: acquiring exercise data of a user in a preset time period and a physical parameter preset by the user, wherein the exercise data comprises exercise data of a head, a hand and a leg of the user; and inputting the exercise data and the physical parameter into a pre-trained energy determination model for processing to obtain energy consumed by the user in the preset time period.
CPC Classifications
G16H 20/30 G16H 40/67 G06N 3/126 A61B 5/1118 A61B 5/1121 A61B 5/6803 A61B 5/6825 A61B 5/6828 A61B 5/72 A61B 5/742
Filing Date
2024-03-14
Application No.
18605328
Claims
17
Mentioned entities
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