Tatsuyuki Kawamura

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In this paper we propose an object-triggered human memory augmentation system named “Ubiquitous Memories” that enables a user to directly associate his/her experience data with physical objects by using a “touching” operation. A user conceptually encloses his/her experiences gathered through sense organs into physical objects by simply touching an object.(More)
In this paper, we discuss wearable interfaces for a computational memory-aid useful in everyday life. The aim of this study is to develop a Video Diary system with vision interfaces to aid in memory retrieval. The Video Diary system provides users with " Memory Retrieval, Exchange, and Transportation " through four types of indexes: 1) through the user's(More)
This paper presents a novel computational human memory augmentation concept, Ubiquitous Memories, used to support everyday information related activities. Memory aid architecture has been used to annotate augmented video data as wearable information. We have developed a prototype system, Ubiquitous Memories, composed of a head-mounted display, a wearable(More)
In this paper we propose a wearable vision interface system named " I'm Here! " to support a user's remembrance of object location in everyday life. The system enables users to retrieve certain information from a video database that has recorded a set of the latest scenes of target objects which were held by the user and were observed from the users'(More)
Recently, it has been expected to realize privacy preserving data mining in order to acquire valuable knowledge from the combined information sources of several service providers. Therefore researches have been conducted on a distributed anonymization method, which combines the personal information and anonymize it to prevent identifying specific user(More)
We propose a high speed video retrieval algorithm with a hybrid-space image matching (HySIM) method. Our aim is to realize a location-based memory support system on a wearable computer suitable for everyday use. This HySIM algorithm has the following technical features; two different feature spaces and a control mechanism image matched against frequent(More)
In this paper, we discuss wearable interfaces for a computational memory-aid useful in everyday life. The aim of this research is to develop an albuming system for augmenting human memory. SARA, a framework for augmented memory systems, provides users with four types of functions: Memory Retrieval, Memory Exchange, Memory Transportation, and Memory Editing.(More)