Open AccessEffects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models
Author(s) -
Milagros Jaén-Vargas,
Karla Miriam Reyes Leiva,
Francisco Fernandes,
Sérgio Gonçalves,
Miguel Tavares Silva,
Daniel Simões Lopes,
José Javier Serrano Olmedo
Publication year - 2022
Publication title -
peerj. computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.1052
Subject(s) - computer science , sliding window protocol , convolutional neural network , artificial intelligence , acceleration , preprocessor , deep learning , pattern recognition (psychology) , inertial measurement unit , artificial neural network , feature extraction , f1 score , feature (linguistics) , window (computing) , linguistics , philosophy , physics , classical mechanics , operating system