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In this paper, we propose a life logger integrated with a remote controller, which is a personal device. It uses several sensors to collect the history of the user's control of consumer appliances as well as his/her actions, stores all data in real time before sending it to PCs or servers, and is small enough to carry at all times. The aim of data integration is to acquire the user's context from his/her actions; personalized services are then provided that suit the context. We develop a prototype and evaluate its performance. The prototype uses Arrow Tags to act as a remote controller for Internet surfing via a TV screen; we designed Arrow Tags to allow the easy selection of any link currently shown by pushing the direction keys, the user can keep his/her gaze fixed on the television screen. Experiments show that Arrow Tag makes it possible for users to easily and comfortably select web page links. To support context mining, the prototype uses our algorithm that can estimate transportation modes from the outputs of GPS and acceleration sensors. Tests show that transportation mode estimation is about 95% accurate. Judging from the experiment's results, we can conclude that the life logger, integrated with a remote controller, has the potential to stimulate the development of many context-aware services.