Have a personal or library account? Click to login
Turtle Sport: An Open-Source Software for Communicating with GPS Sport Watches Cover

Turtle Sport: An Open-Source Software for Communicating with GPS Sport Watches

Open Access
|Dec 2018

References

  1. Dooley, E E, Golaszewski, N M and Bartholomew, J B 2017 Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices. JMIR mHealth and uHealth, 5(3). DOI: 10.2196/mhealth.7043
  2. Hongu, N, et al. 2013 Global positioning system watches for estimating energy expenditure. The Journal of Strength & Conditioning Research, 27(11): 32163220. DOI: 10.1519/JSC.0b013e31828bae0f
  3. Wieters, K M, Kim, J-H and Lee, C 2012 Assessment of wearable global positioning system units for physical activity research. Journal of Physical Activity and Health, 9(7): 913923. DOI: 10.1123/jpah.9.7.913
  4. Sharma, A P, et al. 2017 The Effect of Training at 2100-m Altitude on Running Speed and Session Rating of Perceived Exertion at Different Intensities in Elite Middle-Distance Runners. International Journal of Sports Physiology & Performance, 12. DOI: 10.1123/ijspp.2016-0402
  5. Heesch, K C and Langdon, M 2017 The usefulness of GPS bicycle tracking data for evaluating the impact of infrastructure change on cycling behaviour. Health promotion journal of Australia, 27(3): 222229. DOI: 10.1071/HE16032
  6. Duncan, M J, Mummery, W K and Dascombe, B J 2007 Utility of global positioning system to measure active transport in urban areas. Medicine & Science in Sports & Exercise, 39(10): 18511857. DOI: 10.1249/mss.0b013e31811ff31e
  7. Vleck, V E, et al. 2008 Pacing during an elite Olympic distance triathlon: comparison between male and female competitors. Journal of Science and Medicine in Sport, 11(4): 424432. DOI: 10.1016/j.jsams.2007.01.006
  8. Hurst, H T and Jones, C 2016 The Effects of Bicycle Geometry on Sprint Triathlon Cycling and Running Performance. Journal of Science and Cycling, 5(3): 28.
  9. Jones, A P, et al. 2009 Environmental supportiveness for physical activity in English schoolchildren: a study using Global Positioning Systems. International Journal of Behavioral Nutrition and Physical Activity, 6(1): 42. DOI: 10.1186/1479-5868-6-42
  10. Aparicio Ugarriza, R, et al. 2015 Physical activity assessment in the general population; instrumental methods and new technologies. Nutrición Hospitalaria, 31(Supl. 3): 219226. DOI: 10.3305/nh.2015.31.sup3.8769
  11. Christensen, P H, et al. 2011 Children, Mobility, and Space: Using GPS and Mobile Phone Technologies. Journal of Contemporary Ethnography. DOI: 10.1177/1558689811406121
  12. Vazquez-Prokopec, G M, et al. 2013 Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment. PloS one, 8(4): e58802. DOI: 10.1371/journal.pone.0058802
  13. Kestens, Y, et al. 2014 Innovation through wearable sensors to collect real-life data among pediatric patients with cardiometabolic risk factors. International journal of pediatrics. DOI: 10.1155/2014/328076
  14. Shoval, N, et al. 2011 Use of the global positioning system to measure the out-of-home mobility of older adults with differing cognitive functioning. Ageing and Society, 31(05): 849869. DOI: 10.1017/S0144686X10001455
  15. Hirsch, J A, et al. 2014 Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis. International journal of health geographics, 13(1): 51. DOI: 10.1186/1476-072X-13-51
  16. Webber, S C and Porter, M M 2009 Monitoring mobility in older adults using global positioning system (GPS) watches and accelerometers: A feasibility study. Journal of Aging and Physical Activity, 17(4): 455467. DOI: 10.1123/japa.17.4.455
  17. Hein, J R, Evans, J and Jones, P 2008 Mobile methodologies: Theory, technology and practice. Geography Compass, 2(5): 12661285. DOI: 10.1111/j.1749-8198.2008.00139.x
  18. Büscher, M and Urry, J 2009 Mobile methods and the empirical. European Journal of Social Theory, 12(1): 99116. DOI: 10.1177/1368431008099642
  19. Pauwels, L 2011 An Integrated Conceptual Framework for Visual Social. The SAGE handbook of visual research methods, 3. DOI: 10.4135/9781446268278.n1
  20. Apparicio, P, et al. 2016 Cyclists’ exposure to air pollution and road traffic noise in central city neighbourhoods of Montreal. Journal of Transport Geography, 57: 6369. DOI: 10.1016/j.jtrangeo.2016.09.014
  21. Morabia, A, et al. 2009 Air pollution and activity during transportation by car, subway, and walking. American Journal of Preventive Medicine, 37(1): 7277. DOI: 10.1016/j.amepre.2009.03.014
  22. Zuurbier, M, et al. 2009 Minute ventilation of cyclists, car and bus passengers: An experimental study. Environmental health, 8(1): 48. DOI: 10.1186/1476-069X-8-48
  23. Cepeda, M, et al. 2017 Levels of ambient air pollution according to mode of transport: A systematic review. The Lancet Public Health, 2(1): e23e34. DOI: 10.1016/S2468-2667(16)30021-4
DOI: https://doi.org/10.5334/jors.230 | Journal eISSN: 2049-9647
Language: English
Submitted on: May 15, 2018
|
Accepted on: Nov 19, 2018
|
Published on: Dec 6, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Philippe Apparicio, Denis Apparicio, Marie-Ève Mathieu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.