Multi-dimensional child growth guarding method and device, storage medium, computer program product and smart watch
By acquiring multi-source physiological and behavioral monitoring data, location information, and scene clues from smartwatches, generating datasets to be analyzed, and adaptively adjusting the collection strategy, the shortcomings of existing children's smartwatches in health and safety monitoring are solved, and more accurate safety event identification and alarm output are achieved.
Patent Information
- Application Number
- CN202610288116.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-10
- Publication Date
- 2026-06-02
AI Technical Summary
Existing children's smartwatches have shortcomings in data acquisition, analysis and decision-making, and alarm linkage. In particular, they lack the coordinated integration of behavioral dimensions such as sleep structure and exercise intensity in health and behavior monitoring. Furthermore, in terms of safety protection, the reliability of indoor positioning is insufficient, and there is a lack of linkage judgment between environmental/scene clues and physiological and behavioral information.
Acquire multi-source physiological and behavioral monitoring data, location information, and scene clues from smartwatches to generate a dataset to be analyzed. Based on the dataset, determine the current state of the wearable object, adaptively adjust the acquisition strategy and perform preprocessing, construct fusion features, determine the target event type, and output interactive prompts and alarm information, including location and environmental clue fields.
It enhances the smartwatch's ability to identify and handle children's safety risks. Through a unified link of multi-source data, state adaptive processing, and fusion judgment, it achieves more accurate identification of safety-related events and alarm output.