May, Gregory and Warrington, Giles (2012) Assessment of Physical Activity in Search and Rescue Operations Using Accelerometer Based Technologies. In: Sensecam Symposium 2012, 2-3 apr 2012, Oxford, UK.
Abstract
Helicopter search and rescue crews (SARC) operate on a 24 hour shift with crew members either sleeping on-base or at
home depending on their proximity to the base. This may lead to possible variations in the level of physical activity
(PA) that occurs between members of the crew. Aim: To investigate the levels of PA of members of the SARC during a
24 hour on-call shift using several novel sensing technologies. Method: Ten members of the Dublin SARC were
instrumented with 2 tri-axial accelerometers (GT3X+), a Sensewear armband (SW) with an internal accelerometer
(SWXL) and a Sensecam with an internal accelerometer. Data was recorded for a 26 hour period during which the
subjects kept a written record of their activity. Sensors were kept on during all operations, the Sensecam was the only
sensor removed while sleeping. Results: Within Group: Significant differences were observed for PA (p<0.01) due to
the location of the sensors on the subject. Between Home and Base: Significant differences were seen for PA on the SW
and SWXL (p<0.01). Conclusion: The location and type of sensor utilised in SARC operations appears to play a role in
measurement of PA. The SW recorded significant differences in PA between SARC on-base and off-base, however the
GT3X+ and SWXL were no different. Further research is required to align data from the Sensecam with the sensors used
in this study to determine if it is possible to measure PA in this population with the Sensecam accelerometer data while
also adding visual contextual data.
Metadata
Item Type: | Conference or Workshop Item (Invited Talk) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Medical Sciences > Exercise Medical Sciences > Health Medical Sciences > Physiology |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland |
ID Code: | 17056 |
Deposited On: | 11 Jun 2012 09:47 by Greg May . Last Modified 19 Jul 2018 14:56 |
Documents
Full text available as:
Preview |
PDF (Abstract)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
66kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record