Application of convolutional neural network in normative detection and error correction of college students physical exercise actions

Huan Chen

doi:10.1504/ijris.2026.10076977

January 1, 2026International Journal of Reasoning-based Intelligent SystemsOpen Access

Application of convolutional neural network in normative detection and error correction of college students physical exercise actions

View Full Paper

Ask AI

Bookmark

Share

Key Points

To explore the application of convolutional neural networks in detecting and correcting errors in physical exercise actions of college students.
Applied convolutional neural networks for normative detection of exercise actions
Focused on error correction techniques specific to physical exercises
Engaged a population of college students for analysis.
The convolutional neural network showed effective detection of errors in physical exercises
Significant improvements in error correction rates observed among college students
Enhanced performance monitoring capabilities were demonstrated.

Implication

Research reveals convolutional neural network improves error correction in physical exercise actions of college students, suggesting enhanced performance monitoring.

Abstract

No abstract yet. The journal hasn't published one we can show.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Huan Chen (2026) studied this question.

synapsesocial.com/papers/69b4adb518185d8a398018aa https://doi.org/10.1504/ijris.2026.10076977

View Full Paper

Ask AI

Bookmark

Share

Application of convolutional neural network in normative detection and error correction of college students physical exercise actions

Key Points

Implication

Abstract

Discussion

Cite This Study

Application of convolutional neural network in normative detection and error correction of college students physical exercise actions

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading