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Related Experiment Video

Updated: Jul 14, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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LifeSeeker: an interactive concept-based retrieval system for lifelog data.

Thao-Nhu Nguyen1, Tu-Khiem Le1, Van-Tu Ninh1

  • 1Dublin City University, Dublin, Ireland.

Multimedia Tools and Applications
|October 6, 2023
PubMed
Summary
This summary is machine-generated.

LifeSeeker is a lifelog image retrieval system designed to help users find specific life moments. It effectively supports both expert and novice users in recalling memories using diverse search criteria.

Keywords:
Interactive retrieval systemLifelogLifelog search challenge

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Information Retrieval

Background:

  • Lifelogging involves passively capturing personal daily events using wearable devices.
  • This process creates a digital diary for future recollection or sharing.
  • Existing lifelogging systems often lack robust search functionalities.

Purpose of the Study:

  • To present LifeSeeker, a lifelog image retrieval system.
  • To enhance the searchability of lifelogged data for users.
  • To evaluate the system's retrieval performance with different user expertise levels.

Main Methods:

  • LifeSeeker utilizes a combination of textual descriptions, spatial relationships, location information, and image similarities for retrieval.
  • The system has participated in the Lifelog Search Challenge (LSC) for three consecutive years.
  • An additional experiment was conducted to assess retrieval effectiveness with expert and novice users.

Main Results:

  • The system demonstrated effective retrieval capabilities in the Lifelog Search Challenge.
  • User studies indicated that LifeSeeker is effective for both expert and novice users.
  • The interaction effectiveness was particularly noted when involving non-expert users.

Conclusions:

  • LifeSeeker provides a powerful tool for retrieving specific moments from lifelogged data.
  • The system's multimodal search approach enhances user experience and memory recall.
  • Further research can explore optimizing user interaction for broader accessibility.