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
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