TY  - JOUR 
AU  - Garcia-Gonzalez, D.
AU  - Rivero Cebrián, Daniel
AU  - Fernández Blanco, Enrique
AU  - Luaces, M.R.
PY  - 2023
SN  - 2542-6605
UR  - http://hdl.handle.net/20.500.11940/21312
AB  - Nowadays, the field of human activity recognition (HAR) is a remarkably hot topic within the scientific community. Given the low cost, ease of use and high accuracy of the sensors from different wearable devices and smartphones, more and more...
LA  - eng
TI  - Deep learning models for real-life human activity recognition from smartphone sensor data
DO  - 10.1016/j.iot.2023.100925
T2  - Internet of Things (Netherlands)
KW  - INIBIC
KW  - INIBIC
VL  - 24
ER  -