RT info:eu-repo/semantics/article
T1 Audio feature engineering for occupancy and activity estimation in smart buildings
A1 Santiago, Gabriela
A1 Jiménez, Marvin
A1 Aguilar Castro, José Lisandro
A1 Montoya, Edwin
K1 Audio feature engineering
K1 Acoustic features
K1 Activity estimation
K1 Occupancy estimation
K1 Smart buildings
K1 Informática
K1 Computer science
AB The occupancy and activity estimation are fields that have been  severally researched in the past few years. However, the different  techniques used include a mixture of atmospheric features such as  humidity and temperature, many devices such as cameras and audio  sensors, or they are limited to speech recognition. In this work is  proposed that the occupancy and activity can be estimated only from the  audio information using an automatic approach of audio feature  engineering to extract, analyze and select descriptors/variables. This  scheme of extraction of audio descriptors is used to determine the  occupation and activity in specific smart environments, such that our  approach can differentiate between academic, administrative or  commercial environments. Our approach from the audio feature engineering  is compared to previous similar works on occupancy estimation and/or  activity estimation in smart buildings (most of them including other  features, such as atmospherics and visuals). In general, the results  obtained are very encouraging compared to previous studies.
PB MDPI
SN 2079-9292
YR 2021
FD 2021-10-24
LK http://hdl.handle.net/10017/50073
UL http://hdl.handle.net/10017/50073
LA eng
NO European Commission
DS MINDS@UW
RD 16-abr-2024