A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations

HIGHLIGHTS

  • who: Ryer M. Becker and Robert F. Keefe from the Department of Forest, Rangeland and Fire Sciences, College of Natural Resources, University of Idaho have published the paper: A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations, in the Journal: PLOS ONE
  • what: Based on the study objectives and prior research, four different windows (1, 5, 7.5 and 10 seconds) were assessed to balance the ability of short windows to recognize simple activities and the ability of longer windows to capture less repetitive activities effectively . The AUC of all . . .

     

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