A real-time occupancy detection system for unoccupied, normally and abnormally occupied situation discrimination via sensor array and cloud platform in indoor environment

•A system based on sensor array and cloud platform is developed for real-time indoor environment occupied situation detection.•All-subsets regression model is used for sensor contribution evaluation and realized the sensor array size reduction.•Unoccupied, normally and abnormally occupied situation...

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Veröffentlicht in:	Sensors and actuators. A. Physical. 2021-12, Vol.332, p.113116, Article 113116
Hauptverfasser:	Yang, Shaohua, Huang, Zeqiong, Wang, Cong, Ran, Xu, Feng, Changhao, Chen, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms All-subsets regression Artificial neural networks Cloud computing Extreme learning machine model Indoor environments Machine learning Occupancy Occupancy detection Occupancy rates Optimization Real time Real time indoor environment monitoring Regression models Run time (computers) Sensor array Sensor arrays Sensors
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