RT Conference Proceedings
T1 Ensemble Learning for Seated People Counting using WiFi Signals: 												Performance Study and Transferability Assessment
A1 Bernaola, Jose Ramon Merino
A1 Sobron, Iker
A1 Del Ser, Javier
A1 Landa, Iratxe
A1 Eizmendi, Inaki
A1 Velez, Manuel
AB The detection, location, and behavior recognition of human beings in different environments is not only a subject of a wide range of studies, but has also triggered the development of a large number of applications, including those which enhance sustainability and efficiency of infrastructures. For instance, the estimation of the occupancy could improve the energy management of a building. Due to human presence or movement over a particular area, the analysis of variations in wireless signal properties of already deployed wireless technology such as WiFi systems provides the information needed for Machine Learning models to accomplish the non-intrusive (device-free) detection and classification of different human activities. In this context, this work focuses on detecting seated people in an indoor scenario by using ensemble learning, a particular branch of Machine Learning models for supervised learning that hinges on combining the outputs of individual predictors. Furthermore, we evaluate the transferability of the knowledge modeled by ensemble learners. When trained in a particular frequency or channel, such models are used to classify data captured over another different frequency. Our experimental setup and discussed results reveal that while ensembles attain satisfactory levels of predictive accuracy predictions, their knowledge cannot be transferred among different frequencies. This conclusion opens an exciting future towards new means to perform effective knowledge transfer over the frequency domain.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665423908
YR 2021
FD 2021
LK https://hdl.handle.net/11556/1506
UL https://hdl.handle.net/11556/1506
LA eng
NO Bernaola , J R M , Sobron , I , Del Ser , J , Landa , I , Eizmendi , I & Velez , M 2021 , Ensemble Learning for Seated People Counting using WiFi Signals : Performance Study and Transferability Assessment . in 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings . 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , 2021 IEEE Globecom Workshops, GC Wkshps 2021 , Madrid , Spain , 7/12/21 . https://doi.org/10.1109/GCWkshps52748.2021.9682014
NO conference
NO Publisher Copyright: © 2021 IEEE.
NO This work has been supported in part by the University of the Basque Country UPV/EHU under Grant COLAB 20/21 and by the Basque Government, through EMAITEK and ELKARTEK (KK-2020/00049) funding grants, and the consolidated research groups TSR (IT1234-19) and MATHMODE (IT1294-19). This work is also supported by the Spanish Government through PHANTOM project grant RTI2018-099162-B-I00 (MCIU/AEI/FEDER, EU).
DS TECNALIA Publications
RD 28 jul 2024