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arXiv · 2309.05831

Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety

Joseph Bertrand·Nick Griffey·Ming-Lun Lu·Rashmi Jha
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Abstract

Porting ML models trained on lab data to real-world situations has long been a challenge. This paper discusses porting a lab-trained lifting identification model to the real-world. With performance much lower than on training data, we explored causes of the failure and proposed four potential solutions to increase model performance

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Joseph Bertrand, Nick Griffey, Ming-Lun Lu, Rashmi Jha. 2023-09-11. Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety. https://arxiv.org/abs/2309.05831

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