Advances in digital storage technologies mean that vast digital archives of ones personal life experiences can now be generated. These personal archives (Human Digital Memories (HDMs)) can contain many types of data in various media created or accessed by the individual. These archives are of little benefit if an individual cannot locate and retrieve significant items from them. Existing search techniques are not sufficient for retrieval of items from these new unstructured spaces. This research proposes to develop effective HDM search by the integration of rich sources of context data, such as biometric information, with items in the HDM as a method to aid effective retrieval in this new domain.