Indoor Information Retrieval using Lifelog Data

TL;DR

This paper proposes an indoor information retrieval system leveraging lifelog data to improve healthcare, emergency response, and item tracking by enabling natural language queries over rich contextual personal data.

Contribution

It introduces a novel approach to indoor lifelog data analysis and retrieval, addressing a gap in applying lifelogging for indoor environment scenarios.

Findings

Lifelog data can enhance indoor information retrieval applications.

Indoor lifelogging has potential for healthcare and item tracking.

A new framework for natural language querying of indoor lifelog data.

Abstract

Studying human behaviour through lifelogging has seen an increase in attention from researchers over the past decade. The opportunities that lifelogging offers are based on the fact that a lifelog, as a "black box" of our lives, offers rich contextual information, which has been an Achilles heel of information discovery. While lifelog data has been put to use in various contexts, its application to indoor environment scenario remains unexplored. In this proposal, I plan to design a method that enables us to capture and record indoor lifelog data of a person's life in order to facilitate healthcare systems, emergency response, item tracking etc. To this end, we aim to build an Indoor Information Retrieval system that can be queried with natural language queries over lifelog data. Judicious use of the lifelog data for the indoor application may enable us to solve very fundamental but non-avoidable problems of our daily life. Analysis of lifelog data coupled with Information Retrieval is not only a promising research topic, but the possibility of its indoor application especially for healthcare, lost-item tracking would be an innovative research idea to the best of our knowledge.