Audio Feature Engineering for Occupancy and Activity Estimation in Smart Buildings

Electronics

卷:10

Gabriela Santiago¹  Jose Aguilar¹  Marvin Jiménez²  Edwin Montoya³ 

[1] Centro de Microcomputación y Sistemas Distribuidos (CEMISID), Universidad de Los Andes, Mérida 5101, Venezuela;

[2] Departamento de Ingeniería Industrial, Universidad del Sinú, Montería 230029, Colombia;

[3] Grupo de Investigación, Desarrollo e Innovación en Tecnologías de Información y Comunicación (GIDITIC), Universidad EAFIT, Medellín 50022, Colombia;

关键词: audio feature engineering;    acoustic features;    activity estimation;    occupancy estimation;    smart buildings;   

DOI  :  10.3390/electronics10212599

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown