Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings
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...
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MDPI AG
2021
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oai:doaj.org-article:41f50ae8d4e44d26b61056e749e260212021-11-11T15:37:34ZAudio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings10.3390/electronics102125992079-9292https://doaj.org/article/41f50ae8d4e44d26b61056e749e260212021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2599https://doaj.org/toc/2079-9292The 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.Gabriela SantiagoMarvin JiménezJose AguilarEdwin MontoyaMDPI AGarticleaudio feature engineeringacoustic featuresactivity estimationoccupancy estimationsmart buildingsElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2599, p 2599 (2021) |
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audio feature engineering acoustic features activity estimation occupancy estimation smart buildings Electronics TK7800-8360 |
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audio feature engineering acoustic features activity estimation occupancy estimation smart buildings Electronics TK7800-8360 Gabriela Santiago Marvin Jiménez Jose Aguilar Edwin Montoya Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
description |
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. |
format |
article |
author |
Gabriela Santiago Marvin Jiménez Jose Aguilar Edwin Montoya |
author_facet |
Gabriela Santiago Marvin Jiménez Jose Aguilar Edwin Montoya |
author_sort |
Gabriela Santiago |
title |
Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
title_short |
Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
title_full |
Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
title_fullStr |
Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
title_full_unstemmed |
Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings |
title_sort |
audio feature engineering for occupancy and activity estimation in smart buildings |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/41f50ae8d4e44d26b61056e749e26021 |
work_keys_str_mv |
AT gabrielasantiago audiofeatureengineeringforoccupancyandactivityestimationinsmartbuildings AT marvinjimenez audiofeatureengineeringforoccupancyandactivityestimationinsmartbuildings AT joseaguilar audiofeatureengineeringforoccupancyandactivityestimationinsmartbuildings AT edwinmontoya audiofeatureengineeringforoccupancyandactivityestimationinsmartbuildings |
_version_ |
1718434855348338688 |