We propose a practical picture browser called DrawerBrowser for finding items in drawers, which is designed through observation of daily activities.

We propose a flowerpot-type robot called PotPet that helps users grow plants more effectively and enjoyably. PotPet acts autonomously like pets: it automatically moves to sunny places or approaches people when it requires water. Basically, PotPet consists of a "real" plant, several sensors to detect plant status, a robot with wheels for mobility, and a microcontroller to control the above devices. Here we explain the concepts and implementation of the PotPet.

For some people, selecting the clothes you wear is sometimes tedious, difficult and requires you to remember what you have previously worn. While there are many fashion SNS (Social Networking Services) sites and related research devoted to addressing certain aspects of this issue, there is no system that combines both the automated cataloguing of one's own clothes with near real-time recommendation by their social network. In this paper, we propose a novel system which allows users to easily organize and optimize their daily clothing selection based on historical data. By combining historical information about what the user has worn with several options such as the user's planned activities and the weather, it can help the user in coordinating what to wear. In order to simplify and automate the capture, storage and cataloging of image of the users clothing, we propose a system which allows for the automatic and standardized capturing of a person's clothes by simply hanging an item on a hook built into a cabinet. Furthermore, by utilizing the internet and common SNS sites, it allows friends, family living apart and/or romantic couples to seamlessly share the catalogued photos of their clothes, initiate conversation and help select what is appropriate to wear.