Fitness state monitoring system and method based on sensor data
By constructing a bidirectional time axis alignment structure and trend extension technology, the problems of temporal misalignment and judgment lag caused by signal loss and acquisition breakpoints in the existing technology are solved. The synchronous continuity of heart rate and body temperature signals is realized, the changes in physical fitness are accurately identified, and the physical fitness identification results with fluctuation partitions, rhythm boundaries and response characteristics are output.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ANHUI WATER CONSERVANCY TECHN COLLEGE
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing multimodal signal processing technologies lack a sequence continuity compensation mechanism based on trend extension, which leads to signal loss and acquisition breakpoints causing temporal misalignment and judgment lag. This makes it impossible to effectively identify the heart rate change path and body temperature lag characteristics during exercise, resulting in a lack of process and response delay in physical fitness status recognition.
By constructing a bidirectional time axis aligned structure, gap filling is completed by combining the trend extension of heart rate and body temperature signals, extracting heart rate jump segments and identifying fluctuation paths, and establishing a cross-signal hysteresis comparison relationship by combining the response position of the decreasing inflection point in the body temperature sequence, a multi-level analysis system is formed, and the output physical fitness status identification results with fluctuation partitions, rhythm boundaries and response characteristics are provided.
It improves the temporal consistency and continuity of the signal, can accurately identify changes in physical fitness, and outputs physical fitness identification results with fluctuation partitions, rhythm boundaries and response characteristics, solving the problems of timing misalignment and judgment lag caused by signal loss and acquisition interruption in the existing technology.
Smart Images
Figure CN122398232A_ABST