TY  - JOUR 
AU  - Garcia-Gonzalez, D.
AU  - Rivero Cebrián, Daniel
AU  - Fernández Blanco, Enrique
AU  - Luaces, M.R.
PY  - 2023
SN  - 0950-7051
UR  - http://hdl.handle.net/20.500.11940/21782
AB  - In recent years, mainly due to the application of smartphones in this area, research in human activity recognition (HAR) has shown a continuous and steady growth. Thanks to its wide range of sensors, its size, its ease of use, its low price and its...
LA  - eng
TI  - New machine learning approaches for real-life human activity recognition using smartphone sensor-based data
DO  - 10.1016/j.knosys.2023.110260
T2  - Knowledge-Based Systems
KW  - INIBIC
KW  - INIBIC
VL  - 262
ER  -