Gurrin, Cathal ORCID: 0000-0003-2903-3968, Qiu, Zhengwei, Hughes, Mark, Caprani, Niamh, Doherty, Aiden R.
ORCID: 0000-0003-1840-0451, Hodges, Steve and Smeaton, Alan F.
ORCID: 0000-0003-1028-8389
(2013)
The smartphone as a platform for wearable cameras in health research.
American Journal of Preventive Medicine, 44
(3).
pp. 308-313.
ISSN 1873-2607
Abstract
Background: The SenseCam, a small camera that is worn on the chest via a lanyard, is increasingly being deployed in a health research. However, the SenseCam is not yet in widespread use due to a variety of factors. It is proposed that the ubiquitous smartphone can provide a more accessible alternative to the SenseCam.
Purpose: To perform an initial evaluation of the potential of the smartphone to become an alternative to the SenseCam.
Methods: Adults were supplied with a smartphone running lifelogging software which they wore on a lanyard. Participants wore the smartphone for up to a day and the resulting lifelog data was both manually annotated and automatically analyzed for the presence of visual concepts. The results were compared to prior work using the SenseCam.
Results: In total 166,000 smartphone photos were gathered from 47 individuals, along with associated sensor readings. The average time spent wearing the device across all users was 5 hours and 39 minutes (± 4 hours 11 minutes SD). A subset of 36,698 photos was selected for manual annotation by 5 researchers. Software analysis of these photos supports the automatic identification of activities to a similar level of accuracy as for SenseCam images in a previous study.
Conclusions: Many aspects of the functionality of a SenseCam can largely be replicated, and in some cases enhanced, by the ubiquitous smartphone platform. This makes the smartphone a good candidate for a new generation of wearable sensing devices in health research, due to its widespread use across many populations. It is envisioned that the smartphone will provide a compelling alternative to the dedicated SenseCam hardware for a number of users and application areas. This will be achieved by integrating new types of sensor data, leveraging the smartphone’s real-time connectivity and rich user interface, and providing support for a range of relatively sophisticated applications.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Smartphones; Sensecam |
Subjects: | Computer Science > Lifelog Medical Sciences > Health Computer Science > Information retrieval |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies |
Publisher: | Elsevier |
Official URL: | http://dx.doi.org/10.1016/j.amepre.2012.11.010 |
Copyright Information: | © 2013 Elsevier |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 17837 |
Deposited On: | 04 Mar 2013 11:47 by Cathal Gurrin . Last Modified 04 Oct 2018 10:32 |
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