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- W2996826849 abstract "In this paper, we create a highly accurate and portable occupancy monitoring system leveraging LIDAR and PIR sensors. Using data gathered from this system, we develop a Markov Chain model to predict transitions and further improve accuracy. The system is able to with near 100% accuracy detect occupant movements through an area. Compared to more permanently installed sensors, the proposed approach offers a more flexible, portable sensing solution. This system can be readily deployed with minimal training data, benefiting applications such as building scheduling, usage design, security, and retail analytics." @default.
- W2996826849 created "2020-01-10" @default.
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- W2996826849 date "2018-12-01" @default.
- W2996826849 modified "2023-09-25" @default.
- W2996826849 title "Combining LIDAR, Passive Infrared, and Markov Chain Prediction for Flexible, Portable Occupancy Monitoring" @default.
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- W2996826849 doi "https://doi.org/10.1109/csci46756.2018.00101" @default.
- W2996826849 hasPublicationYear "2018" @default.
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