Research on the evaluation model of pilots’ in-flight stress state based on flight critical events
Lamei Shang, Manting Lu, Chunying Qian, Xiaoru Wanyan, Yubin Zhou, Shuang Liu · 2026
Read Research on the evaluation model of pilots’ in-flight stress state based on flight critical events by Lamei Shang, Manting Lu, Chunying Qian, Xiaoru Wanyan, Yubin Zhou, Shuang Liu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12956700.txt.
Description
Fighter pilots under heavy stress can make worse decisions, yet there has been no good way to read their stress state mid-flight. In this 2025 study, Lamei Shang and co-authors build such a gauge from body signals. They recorded heart traces, breathing, and body acceleration from thirty-two young pilots during flight events of differing strain.
Certain heart and breathing measures shifted reliably as stress changed. Ten heart-based and five breathing-based indicators passed the screen. Feeding those into a machine learning model sorted pilots into stressed or not with about 95.6 percent accuracy under cross-checking. The authors say the gauge could help tailor stress training to each pilot. That, in turn, should support safer and more effective missions.
Catalog record
| CREATOR | Lamei Shang, Manting Lu, Chunying Qian, Xiaoru Wanyan, Yubin Zhou, Shuang Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |