# Indoor room Occupancy Counting based on LSTM and Environmental Sensor

arXiv: https://arxiv.org/abs/2212.02364 · HTML: https://mlsanity.com/paper/2212.02364/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 8 references that are in the map.
- First posted on arXiv 5 Dec 2022.

## Abstract (arXiv)

This paper realizes the estimation of classroom occupancy by using the CO2 sensor and deep learning technique named Long-Short-Term Memory. As a case of connection with IoT and machine learning, I achieve the model to estimate the people number in the classroom based on the environmental data exported from the CO2 sensor, I also evaluate the performance of the model to show the feasibility to apply our module to the real environment.