Organizational, Technical, Ethical and Legal Requirements of Capturing Household Electricity Data for Use as an AAL System

Abstract

Due to demographic change, elderly care is one of the major challenges for society in near future, fostering new services to support and enhance the life quality of the elderly generation. A particular aspect is the desire to live in one’s homes instead of hospitals and retirement homes as long as possible. Therefore, it is essential to monitor the health status, i.e. the activity of the individual. In our data-driven society, data is collected at an increasing rate enabling personalized services for our daily life using machine-learning and data mining technologies. However, the lack of labeled datasets from a realistic environment hampers research for training and evaluating algorithms. In the project BLADL, we use data mining technologies to gauge the health status of elderly people. Within this work, we discuss the challenges and caveats both from a technical and ethical perspectives to create such a dataset.