Presence Detection in Homes using Aggregated Sensor Data
This thesis presents the development of a binary classifier, which classifies homes as occupied or not. This was done using two different types of neural networks; standard feedforward networks and LSTM-networks. The input to these networks was sensor data collected from devices created by Minut AB. Data from previously used automatic alarm feature was used as ground truth. A major part of the pro
