In this letter, a new concept of life log retrieval using human brain activities is presented. The non-invasive electroencephalogram (EEG) recording was applied to have P300 evoked potentials during the photo retrieving tasks. Three subjects tried to select the photo images that interest them among nine according to their mental states. It was found that with four times EEG averaging, the performances of target photo selections could reach 90% for two subjects. This concept would be applicable in future to achieve intuitive retrieval of life log with large quantities of data.

We have been investigating a new class of ubiquitous services, called Activity Logging, which takes advantage for private and public sensors and the RFID tags on real-world objects. The purpose of Activity Logging is to digitally record users' interests with real-world objects and users' context to describe the users' activity. Such digital information acquired from a range of sensors and tags, if being accumulated, forms a great data source for users to recall their activities later or to share the activities with others. This paper explores the design space to realize Activity Logging, and proposes a simple mobile device called Activity Recorder that marries public and private sensors to provide a powerful Activity Logging service. An Activity Recorder contains a range of private sensors, and has communication capability to work with public sensors around the user.