mlsanityData to 14 Oct 2026

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

arXiv 2309.05831 ↗First posted 11 Sep 2023cs.LG cs.AIcited by 0

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Abstract (arXiv)

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

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 12 references that are in the map. First posted on arXiv 11 Sep 2023.

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3 of 12 references.

References · 3

  1. 2013Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Mapscited by 2,371
  2. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,236
  3. 2021BABEL: Bodies, Action and Behavior with English Labelscited by 265

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