论文标题
基于LSTM和环境传感器的室内房间占用率计数
Indoor room Occupancy Counting based on LSTM and Environmental Sensor
论文作者
论文摘要
本文通过使用二氧化碳传感器和名为长期记忆的深度学习技术来意识到课堂入住率的估计。作为与物联网和机器学习的联系的情况，我实现了根据CO2传感器导出的环境数据估算教室中人员数量的模型，我还评估了该模型的性能，以显示将我们的模块应用于真实环境的可行性。
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.
