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SenseCams have many potential applications as tools for lifelogging, including the possibility of use as a memory rehabilitation tool. Given that a SenseCam can log hundreds of thousands of images per year, it is critical that these be presented to the viewer in a manner that supports the aims of memory rehabilitation. In this article we report a software browser constructed with the aim of using the characteristics of memory to organise SenseCam images into a form that makes the wealth of information stored on SenseCam more accessible. To enable a large amount of visual information to be easily and quickly assimilated by a user, we apply a series of automatic content analysis techniques to structure the images into "events", suggest their relative importance, and select representative images for each. This minimises effort when browsing and searching. We provide anecdotes on use of such a system and emphasise the need for SenseCam images to be meaningfully sorted using such a browser.

Original publication

DOI

10.1080/09658211.2010.509732

Type

Journal article

Journal

Memory (Hove, England)

Publication Date

10/2011

Volume

19

Pages

785 - 795

Addresses

CLARITY: Centre for Sensor Web Technologies, Dublin City University, Ireland. aiden.doherty@dcu.ie

Keywords

Humans, Photography, Self-Help Devices, Cues, Mental Recall, Environmental Monitoring, Automation, Microcomputers, Image Processing, Computer-Assisted, Software, User-Computer Interface, Information Storage and Retrieval, Patient Satisfaction, Search Engine, Memory, Episodic