Selecting authentic scenes about activities of daily living (ADL) is useful to support our
memory of everyday life. Key-frame extraction for first-person vision (FPV) videos is a core …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

To efficiently process and understand a large amount of incoming visual information from
first-person perspective (ie egocentric vision), predicting human gaze is important. However …

Key-frame extraction for first-person vision (FPV) videos is a core technology for selecting
important scenes and memorizing impressive life experiences in our daily activities. The …

This paper discusses the effects of multiple viewpoint videos for metacognition of
experiences. We present a system for recording multiple users' collaborative experiences by …

We propose a physical-world question-answering (QA) method, where the system answers
a text question about the physical-world by searching a given sequence of sentences about …

Recognizing activities of daily living (ADLs) in the real world is an important task for
understanding everyday human life. However, even though our life events consist of …

Predicting human gaze is important for efficiently processing and understanding numerous
incoming visual information from first-person videos (FPVs). Even though people …

We aim to develop a supporting system which enhances the ability of human's short-term
visual memory in an intelligent space where the human and a service robot coexist …

Predicting human gaze is important for efficiently processing and understanding numerous
incoming visual information from first-person videos (FPVs). Even though people …