The document summarizes a long-term study of using various sensing modalities to recognize activities of daily living in an instrumented home. Over 10 weeks, data was collected from hundreds of sensors and 104 hours was annotated. Motion sensors like infrared performed best at recognizing activities done in consistent locations, while RFID tags performed poorly due to placement issues. The long-term, real-world study revealed challenges like interrupted activities, sensor insufficiencies, and need for more data from varied subjects.