Type

Journal Article

Authors

Alan F. Smeaton
Steve Hodges
Aiden R. Doherty
Niamh Caprani
Mark Hughes
Zhengwei Qiu
Cathal Gurrin

Subjects

Computer Science

Topics
information retrieval health sensecam wearable cameras real time health research smartphones lifelog

The smartphone as a platform for wearable cameras in health research (2013)

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.
Collections Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Subject = Medical Sciences: Health
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> Subject = Medical Sciences
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Alan F. Smeaton, Steve Hodges, Aiden R. Doherty, Niamh Caprani, Mark Hughes, Zhengwei Qiu, Cathal Gurrin

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 450
 
2
Aiden R. Doherty
Dublin City University
Total Publications: 67
 
3
Niamh Caprani
Dublin City University
Total Publications: 27
 
4
Zhengwei Qiu
Dublin City University
Total Publications: 18
 
5
Cathal Gurrin
Dublin City University
Total Publications: 182