Transfer learning on small datasets for improvedfall detection

HIGHLIGHTS

• who: Nader Maray and collaborators from the Department of Computer Science, Texas State University, San Marcos, TX, USA have published the research: Transfer Learning on Small Datasets for ImprovedFall Detection, in the Journal: Sensors 2023, 23, 1105. of 25/06/2015
• what: When the model which is trained with insufficient data is used in the real world it generates a large amount of false positives. To tackle the aforementioned issues, the authors propose to use transfer learning approach to solve the small dataset problem in smartwatch based fall detection system. The authors first demonstrate that . . .
  

   

  

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