Sensors for activity recognition, analysing energy use and related topics
Applying digital sensors is already well known in the field of activity recognition. Environmental variables such as temperature, humidity, light, sound and IR motion capture provide information on the physical environment where activities occur. Wristbands locate individuals within the environment and energy sensors report information on the electrical devices that are used to assist in activities. While monitoring multiple electrical devices within each household, the data those sensors generate might prove useful for energy disaggregation.
Other possibilities are still open to exploration, drawing on a large dataset of both sensor- and human-generated data and various options in mixing methods.