Indoor Information Retrieval using Lifelog Data
This addresses indoor information retrieval for healthcare and daily life applications, but it is incremental as it extends existing lifelogging concepts to a new scenario.
The paper tackles the problem of applying lifelog data to indoor environments, which remains unexplored, by proposing an Indoor Information Retrieval system that uses natural language queries to facilitate healthcare, emergency response, and item tracking.
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.