This study introduces a regression-to-classification transfer learning framework for wearable gait analysis. The framework improves stance/swing recognition, achieving an 0.07 ms CPU latency, supporting accurate and efficient real-time gait analysis. (IMAGE)

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This study introduces a regression-to-classification transfer learning framework for wearable gait analysis. The framework improves stance/swing recognition, achieving an 0.07 ms CPU latency, supporting accurate and efficient real-time gait analysis.

Caption

This study introduces a regression-to-classification transfer learning framework for wearable gait analysis. The framework improves stance/swing recognition, achieving an 0.07 ms CPU latency, supporting accurate and efficient real-time gait analysis.

Credit

Huanghe Zhang, Shandong University

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Credit must be given to the creator.

License

CC BY

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