Classifying tasks performed by electrical line workers using a wrist-worn sensor: a data analytic approach

HIGHLIGHTS

• who: Saeb Ragani Lamooki and colleagues from the Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, United States of America have published the Article: Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach, in the Journal: PLOS ONE of April/23,/2021
• what: F1 Score=84% Case 1: 5, Case 2: 10 Here, the authors report their third category which has more classes compared to their other categories. out of 71 sensor placements, the sensors were placed bilaterally (* 56%). From Fig 2, it is clear that using . . .
  

   

  

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