Comparison of Number of Waves Surfed and Duration Using Global Positioning System and Inertial Sensors
Surf is an increasingly popular sport and its performance evaluation is often qualitative. This work aims at using a smartphone to collect and analyze the GPS and inertial sensors data in order to obtain quantitative metrics of the surfing performance. Two approaches are compared for detection of wave rides, computing the number of waves rode in a surfing session, the starting time of each wave and its duration. The first approach is based on computing the velocity from the Global Positioning System (GPS) signal and finding the velocity thresholds that allow identifying the start and end of each wave ride. The second approach adds information from the Inertial Measurement Unit (IMU) of the smartphone, to the velocity thresholds obtained from the GPS unit, to determine the start and end of each wave ride. The two methods were evaluated using GPS and IMU data from two surfing sessions and validated with similar metrics extracted from video data collected from the beach. The second method, combining GPS and IMU data, was found to be more accurate in determining the number of waves, start time and duration. This paper shows that it is feasible to use smartphones for quantification of performance metrics during surfing. In particular, detection of the waves rode and their duration can be accurately determined using the smartphone GPS and IMU.
[1] “International Surfing Association targets growth in Africa,”
International Surfing Association. (Online). Available:
http://www.isasurf.org/international-surfing-association-targets-growthin-africa/.
(Accessed: 10-Nov-2014).
[2] A. Mendez-Villanueva and D. Bishop, “Physiological Aspects of
Surfboard Riding Performance,” Sports Med., vol. 35, no. 1, pp. 55–70,
Jan. 2005.
[3] O. R. L. Farley, “Competitive surfing: a physiological profile of athletes
and determinants of performance,” Thesis, Auckland University of
Technology, 2011.
[4] A. J. Coutts and R. Duffield, “Validity and reliability of GPS devices for
measuring movement demands of team sports,” J. Sci. Med. Sport, vol.
13, no. 1, pp. 133–135, Jan. 2010.
[5] J. Lythe, “The physical demands of elite men’s field hockey and the
effects of differing substitution methods on the physical and technical
outputs of strikers during match play,” Thesis, Auckland University of
Technology, 2008.
[6] Y. Schutz and A. Chambaz, “Could a satellite-based navigation system
(GPS) be used to assess the physical activity of individuals on earth?,”
Eur. J. Clin. Nutr., vol. 51, no. 5, pp. 338–339, May 1997.
[7] C. Petersen, D. Pyne, M. Portus, and B. Dawson, “Validity and
reliability of GPS units to monitor cricket-specific movement patterns,”
Int. J. Sports Physiol. Perform., vol. 4, no. 3, pp. 381–393, Sep. 2009.
[8] W. Hedgecock, M. Maroti, A. Ledeczi, P. Volgyesi, and R. Banalagay,
“Accurate Real-time Relative Localization Using Single-frequency
GPS,” in Proceedings of the 12th ACM Conference on Embedded
Network Sensor Systems, New York, NY, USA, 2014, pp. 206–220.
[9] S. L. P. P. G. Ryan, “GPS tracking a marine predator: the effects of
precision, resolution and sampling rate on foraging tracks of African
Penguins,” vol. 145, no. 2, pp. 215–223, 2004.
[10] M. C. Varley, I. H. Fairweather, and R. J. Aughey1 2, “Validity and
reliability of GPS for measuring instantaneous velocity during
acceleration, deceleration, and constant motion,” J. Sports Sci., vol. 30,
no. 2, pp. 121–127, Nov. 2011.
[11] M. D. Portas, J. A. Harley, C. A. Barnes, and C. J. Rush, “The validity
and reliability of 1-Hz and 5-Hz global positioning systems for linear,
multidirectional, and soccer-specific activities,” Int. J. Sports Physiol.
Perform., vol. 5, no. 4, pp. 448–458, Dec. 2010.
[12] R. J. Johnston, M. L. Watsford, M. J. Pine, R. W. Spurrs, A. J. Murphy,
and E. C. Pruyn, “The validity and reliability of 5-Hz global positioning
system units to measure team sport movement demands,” J. Strength
Cond. Res. Natl. Strength Cond. Assoc., vol. 26, no. 3, pp. 758–765,
Mar. 2012.
[13] R. J. Johnston, M. L. Watsford, S. J. Kelly, M. J. Pine, and R. W. Spurrs,
“Validity and interunit reliability of 10 Hz and 15 Hz GPS units for
assessing athlete movement demands,” J. Strength Cond. Res. Natl.
Strength Cond. Assoc., vol. 28, no. 6, pp. 1649–1655, Jun. 2014.
[14] G. L. M. G. Petovello, “An Overview of GPS Augmentation Systems,”
p. 14, 1999.
[15] B. Aguiar, T. Rocha, J. Silva, and I. Sousa, “Accelerometer-based fall
detection for smartphones,” in 2014 IEEE International Symposium on
Medical Measurements and Applications (MeMeA), 2014, pp. 1–6.
[16] N. M. Oreskovic, J. Blossom, A. E. Field, S. R. Chiang, J. P. Winickoff,
and R. E. Kleinman, “Combining global positioning system and
accelerometer data to determine the locations of physical activity in
children,” Geospatial Health, vol. 6, no. 2, pp. 263–272, May 2012.
[17] Q. Ladetto, V. Gabaglio, and B. Merminod, “Combining Gyroscopes,
Magnetic Compass and GPS for Pedestrian Navigation,” Int. Symp.
Kinematic Syst. Geod. Geomat. Navig. KIS Banff Can., pp. 205–212,
2001.
[18] “Calculate distance and bearing between two Latitude/Longitude points
using haversine formula in JavaScript.” (Online). Available:
http://www.movable-type.co.uk/scripts/latlong.html. (Accessed: 13-
Nov-2014).
[1] “International Surfing Association targets growth in Africa,”
International Surfing Association. (Online). Available:
http://www.isasurf.org/international-surfing-association-targets-growthin-africa/.
(Accessed: 10-Nov-2014).
[2] A. Mendez-Villanueva and D. Bishop, “Physiological Aspects of
Surfboard Riding Performance,” Sports Med., vol. 35, no. 1, pp. 55–70,
Jan. 2005.
[3] O. R. L. Farley, “Competitive surfing: a physiological profile of athletes
and determinants of performance,” Thesis, Auckland University of
Technology, 2011.
[4] A. J. Coutts and R. Duffield, “Validity and reliability of GPS devices for
measuring movement demands of team sports,” J. Sci. Med. Sport, vol.
13, no. 1, pp. 133–135, Jan. 2010.
[5] J. Lythe, “The physical demands of elite men’s field hockey and the
effects of differing substitution methods on the physical and technical
outputs of strikers during match play,” Thesis, Auckland University of
Technology, 2008.
[6] Y. Schutz and A. Chambaz, “Could a satellite-based navigation system
(GPS) be used to assess the physical activity of individuals on earth?,”
Eur. J. Clin. Nutr., vol. 51, no. 5, pp. 338–339, May 1997.
[7] C. Petersen, D. Pyne, M. Portus, and B. Dawson, “Validity and
reliability of GPS units to monitor cricket-specific movement patterns,”
Int. J. Sports Physiol. Perform., vol. 4, no. 3, pp. 381–393, Sep. 2009.
[8] W. Hedgecock, M. Maroti, A. Ledeczi, P. Volgyesi, and R. Banalagay,
“Accurate Real-time Relative Localization Using Single-frequency
GPS,” in Proceedings of the 12th ACM Conference on Embedded
Network Sensor Systems, New York, NY, USA, 2014, pp. 206–220.
[9] S. L. P. P. G. Ryan, “GPS tracking a marine predator: the effects of
precision, resolution and sampling rate on foraging tracks of African
Penguins,” vol. 145, no. 2, pp. 215–223, 2004.
[10] M. C. Varley, I. H. Fairweather, and R. J. Aughey1 2, “Validity and
reliability of GPS for measuring instantaneous velocity during
acceleration, deceleration, and constant motion,” J. Sports Sci., vol. 30,
no. 2, pp. 121–127, Nov. 2011.
[11] M. D. Portas, J. A. Harley, C. A. Barnes, and C. J. Rush, “The validity
and reliability of 1-Hz and 5-Hz global positioning systems for linear,
multidirectional, and soccer-specific activities,” Int. J. Sports Physiol.
Perform., vol. 5, no. 4, pp. 448–458, Dec. 2010.
[12] R. J. Johnston, M. L. Watsford, M. J. Pine, R. W. Spurrs, A. J. Murphy,
and E. C. Pruyn, “The validity and reliability of 5-Hz global positioning
system units to measure team sport movement demands,” J. Strength
Cond. Res. Natl. Strength Cond. Assoc., vol. 26, no. 3, pp. 758–765,
Mar. 2012.
[13] R. J. Johnston, M. L. Watsford, S. J. Kelly, M. J. Pine, and R. W. Spurrs,
“Validity and interunit reliability of 10 Hz and 15 Hz GPS units for
assessing athlete movement demands,” J. Strength Cond. Res. Natl.
Strength Cond. Assoc., vol. 28, no. 6, pp. 1649–1655, Jun. 2014.
[14] G. L. M. G. Petovello, “An Overview of GPS Augmentation Systems,”
p. 14, 1999.
[15] B. Aguiar, T. Rocha, J. Silva, and I. Sousa, “Accelerometer-based fall
detection for smartphones,” in 2014 IEEE International Symposium on
Medical Measurements and Applications (MeMeA), 2014, pp. 1–6.
[16] N. M. Oreskovic, J. Blossom, A. E. Field, S. R. Chiang, J. P. Winickoff,
and R. E. Kleinman, “Combining global positioning system and
accelerometer data to determine the locations of physical activity in
children,” Geospatial Health, vol. 6, no. 2, pp. 263–272, May 2012.
[17] Q. Ladetto, V. Gabaglio, and B. Merminod, “Combining Gyroscopes,
Magnetic Compass and GPS for Pedestrian Navigation,” Int. Symp.
Kinematic Syst. Geod. Geomat. Navig. KIS Banff Can., pp. 205–212,
2001.
[18] “Calculate distance and bearing between two Latitude/Longitude points
using haversine formula in JavaScript.” (Online). Available:
http://www.movable-type.co.uk/scripts/latlong.html. (Accessed: 13-
Nov-2014).
@article{"International Journal of Medical, Medicine and Health Sciences:70249", author = "J. Madureira and R. Lagido and I. Sousa", title = "Comparison of Number of Waves Surfed and Duration Using Global Positioning System and Inertial Sensors ", abstract = "Surf is an increasingly popular sport and its performance evaluation is often qualitative. This work aims at using a smartphone to collect and analyze the GPS and inertial sensors data in order to obtain quantitative metrics of the surfing performance. Two approaches are compared for detection of wave rides, computing the number of waves rode in a surfing session, the starting time of each wave and its duration. The first approach is based on computing the velocity from the Global Positioning System (GPS) signal and finding the velocity thresholds that allow identifying the start and end of each wave ride. The second approach adds information from the Inertial Measurement Unit (IMU) of the smartphone, to the velocity thresholds obtained from the GPS unit, to determine the start and end of each wave ride. The two methods were evaluated using GPS and IMU data from two surfing sessions and validated with similar metrics extracted from video data collected from the beach. The second method, combining GPS and IMU data, was found to be more accurate in determining the number of waves, start time and duration. This paper shows that it is feasible to use smartphones for quantification of performance metrics during surfing. In particular, detection of the waves rode and their duration can be accurately determined using the smartphone GPS and IMU.
", keywords = "Inertial Measurement Unit (IMU), Global
Positioning System (GPS), smartphone, surfing performance. ", volume = "9", number = "5", pages = "444-5", }
