Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings
| Autor: | Gabriela Santiago, Marvin Jiménez, Edwin Montoya, Jose Aguilar |
|---|---|
| Přispěvatelé: | Universidad de Alcalá. Departamento de Automática |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Feature engineering
Scheme (programming language) Occupancy TK7800-8360 Computer Networks and Communications Computer science Smart buildings 020209 energy Audio feature engineering 0211 other engineering and technologies 02 engineering and technology Machine learning computer.software_genre Occupancy estimation 021105 building & construction 0202 electrical engineering electronic engineering information engineering Atmospherics Electrical and Electronic Engineering Building automation computer.programming_language Estimation Informática business.industry occupancy estimation audio feature engineering acoustic features Activity estimation Acoustic features Hardware and Architecture Control and Systems Engineering Signal Processing smart buildings Smart environment Artificial intelligence activity estimation Electronics business computer |
| Zdroj: | Electronics, Vol 10, Iss 2599, p 2599 (2021) Electronics Volume 10 Issue 21 e_Buah Biblioteca Digital Universidad de Alcalá instname |
| ISSN: | 2079-9292 |
| Popis: | 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. European Commission |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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