Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

MemoriLens: a Low-cost Lifelog Camera Using Raspberry Pi Zero

Tran, Quang-Linh orcid logoORCID: 0000-0002-5409-0916, Nguyen, Binh, Jones, Gareth J. F. orcid logoORCID: 0000-0003-2923-8365 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2024) MemoriLens: a Low-cost Lifelog Camera Using Raspberry Pi Zero. In: Proceedings of the 2024 International Conference on Multimedia Retrieval. ISBN 9798400706196

Abstract
Lifelogging is the process of automatically logging data about an individual's daily life, which can then be used in various domains, such as behavior analysis and health monitoring. Various technological devices, including wearable cameras and smartwatches, can help record lifelog data, but getting access to lifelog cameras has proven difficult in recent years, due to a lack of such devices on the market. Creating a lifelog camera that is not only easy to use and cost-efficient but also provides comprehensive functions to log all images about life is challenging due to the lack of hardware and software. This paper introduces MemoriLens, a low-cost camera that efficiently collects, organizes, and stores lifelog data using a readily available custom-designed Raspberry Pi Zero board. The camera is designed to capture images automatically and send them to a private account in cloud services for storage. We open-source the implementing of the camera at: https://github.com/linh222/raspberrylifelogcamera and we encourage lifelog researchers to use our designs and software as required.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:lifelog camera, lifelogging, personal multimedia archive
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Publisher:Association for Computing Machinery
Official URL:https://dl.acm.org/doi/10.1145/3652583.3657592
Funders:ADAPT Centre
ID Code:30199
Deposited On:13 Aug 2024 13:21 by Linh Tran . Last Modified 13 Aug 2024 13:21
Documents

Full text available as:

[thumbnail of 3652583.3657592.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution 4.0
4MB
Metrics

Altmetric Badge

Dimensions Badge

Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record