Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Augmenting Human Digital Memories with Physiological Data

Dobbins, C and Merabti, M and Fergus, P and Llewellyn-Jones, D (2013) Augmenting Human Digital Memories with Physiological Data. In: 2012 IEEE 3RD INTERNATIONAL CONFERENCE ON NETWORKED EMBEDDED SYSTEMS FOR EVERY APPLICATION (NESEA) . (IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA), 13 December 2012 - 14 December 2012, Liverpool, ENGLAND).

[img] Text
NESEA Paper_Camera Ready.pdf - Accepted Version

Download (677kB)

Abstract

The area of human digital memories focuses on documenting our entire lifetime. Using this outlet, a diverse range of information can be brought together, such as photos, location, temperature and physiological information. Nowadays, we have access to a number of different data sources, thus allowing more dynamic and data rich memories to be created. In particular, the inclusion of physiological data offers a new insight into the augmentation of memories and provides a richer level of detail. This information can be used to determine how we were feeling, at any time, and, potentially, how we made others feel as well. Memories, created over a lifetime, can be retrieved, and we can see how our bodies have changed over time. This paper presents the DigMem system, which incorporates physiological data into the creation of human digital memories. A prototype has been successfully developed, which demonstrates the approach and evaluates the applicability of the research.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Science & Technology; Technology; Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Computer Science; Engineering; Human Digital Memory; Lifelogging; Body Sensors; Physiological Monitoring; Mobile Devices; SENSECAM; SYSTEM
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Publisher: IEEE
Related URLs:
Date Deposited: 01 Nov 2016 15:40
Last Modified: 01 Nov 2016 15:40
Editors: Ueyama, J and Hughes, D and Lee, K
URI: http://researchonline.ljmu.ac.uk/id/eprint/2182

Actions (login required)

View Item View Item