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Effects of camera position and media type on lifelogging images

Published: 30 November 2015 Publication History

Abstract

With an increasing number of new camera devices entering the market, lifelogging has turned into a viable everyday practice. The promise of comprehensively capturing our life's happenings has caused adoption rates to grow, but approaches to do so greatly differ. In this paper we evaluate existing visual lifelogging capture approaches through a user study with two main capture dimensions: (1) comparing the body position where a lifelogging camera is worn: head versus chest (2) comparing the media captures: video versus stills. We equipped 30 participants with cameras on their heads and chests. That data was evaluated by subjective user ratings as well as by objective image processing analysis. Our findings indicate that (1) chest-worn devices are more stable and contain less motion blur through which feature detection by image processing algorithms works better than from head-worn cameras; 2) head-worn video cameras, however, seem to be the better choice for lifelogging as they capture more important autobiographical cues than chest-worn devices, e.g., faces that have been shown to be most relevant for recall.

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  • (2024)Towards an ecologically valid naturalistic cognitive neuroscience of memory and event cognitionNeuropsychologia10.1016/j.neuropsychologia.2024.108970(108970)Online publication date: Aug-2024
  • (2021)Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the BlindProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471232(1-15)Online publication date: 17-Oct-2021
  • (2021)Memory Augmentation Through Lifelogging: Opportunities and ChallengesTechnology-Augmented Perception and Cognition10.1007/978-3-030-30457-7_3(47-69)Online publication date: 5-Jan-2021
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  1. Effects of camera position and media type on lifelogging images

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    MUM '15: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia
    November 2015
    442 pages
    ISBN:9781450336055
    DOI:10.1145/2836041
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • FH OOE: University of Applied Sciences Upper Austria
    • Johannes Kepler Univ Linz: Johannes Kepler Universität Linz

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 November 2015

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    Author Tags

    1. ego-centric camera
    2. lifelogging
    3. wearable camera

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    • Future and Emerging Technologies (FET)

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    MUM '15
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    • FH OOE
    • Johannes Kepler Univ Linz

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    MUM '15 Paper Acceptance Rate 33 of 89 submissions, 37%;
    Overall Acceptance Rate 190 of 465 submissions, 41%

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    Cited By

    View all
    • (2024)Towards an ecologically valid naturalistic cognitive neuroscience of memory and event cognitionNeuropsychologia10.1016/j.neuropsychologia.2024.108970(108970)Online publication date: Aug-2024
    • (2021)Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the BlindProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471232(1-15)Online publication date: 17-Oct-2021
    • (2021)Memory Augmentation Through Lifelogging: Opportunities and ChallengesTechnology-Augmented Perception and Cognition10.1007/978-3-030-30457-7_3(47-69)Online publication date: 5-Jan-2021
    • (2017)Are you hiding it?Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3098279.3122123(1-8)Online publication date: 4-Sep-2017
    • (2016)Run with meProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct10.1145/2968219.2971452(5-8)Online publication date: 12-Sep-2016
    • (2016)Measuring the effect of cued recall on work meetingsProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct10.1145/2968219.2968563(1020-1026)Online publication date: 12-Sep-2016
    • (2016)Multimedia Memory Cues for Augmenting Human MemoryIEEE MultiMedia10.1109/MMUL.2016.3123:2(4-11)Online publication date: Apr-2016

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