Occupancy detection with Bluetooth device

This repository is for the Bluetooth based occupancy detection system using Raspberry Pi.

The repository is structed as follows:

• Individual_Presence: The l2ping command is used. The system sends packets to pre-defined occupant devices. If a positive return signal is received, then it is considered as occupied, otherwise unoccupied.
• Crowd_Density: The lescan command is used. Every one minute, Raspberry Pi logs the number of advertising Bluetooth devices with hashed MAC addresses.
• CRC_Density: Capture-and-recapture based estimator for calculating building occupancy density profile. Both algorithm and simulation based evaluation are uploaded in this folder.

Publications

• J.Y. Park, T. Dougherty, H. Fritz, and Z. Nagy, "LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning", Building and Environment, 2019 Vol 147, pp397-414
• J.Y. Park, T. Dougherty, and Z. Nagy, ”A Bluetooth based occupancy detection for buildings”, 2018 Building Performance Analysis Conference and SimBuild, Chicago IL, September, 2018
• Z. Nagy, J.R. Vazquez-Canteli, and J.Y. Park, ”Using Bluetooth Based Occupancy Estimation for HVAC Set-back to Reduce Energy Consumption in Buildings ”, 2018 ASHRAE Annual Conference, Houston TX, June, 2018