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Abstract

Self-monitoring has many potential applications within the home, such as the ability to understand important health and activity rhythms within a household automatically. But such monitoring activities also have associated extreme privacy risks. Can we design new kinds of sensing architectures that are designed to preserve inhabitants'  privacy?  We have made initial inroads of a new mesh operating system prototype for raspberry π hardware for new classes of privacy-preserving self-monitoring applications for the home, which will provide  user-configurable degrees of information fidelity, have built-in forgetting and are accountable by design. We need your help to try and evaluate different kinds of methods for achieving these goals.