Explaining one-dimensional convolutional models in human activity recognition and biometric identification tasks

HIGHLIGHTS

• who: Gustavo Aquino and collaborators from the RandD Center in Electronic and Information Technology, Federal University of Amazonas have published the paper: Explaining One-Dimensional Convolutional Models in Human Activity Recognition and Biometric Identification Tasks, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW appears of /2022/
• what: The authors demonstrate that HAR's high performance with SD comes not only from physical learning but also from learning an individual's signature as in BUI models. The experiments show that CNN focuses on larger signal sections in BUI while HAR focuses on smaller signal . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.