References
- Barrett, S., Midgley, A. W., Towlson, C., Garrett, A., Portas, M., & Lovell, R. (2016). Within-match PlayerLoad™ patterns during a simulated soccer match: Potential implications for unit positioning and fatigue management. International Journal of Sports Physiology and Performance, 11(1), 135–140. https://doi.org/https://doi.org/10.1123/ijspp.2014-0582
- Bauby, C. E., & Kuo, A. D. (2000). Active control of lateral balance in human walking. Journal of Biomechanics, 33(11), 1433–1440. https://doi.org/https://doi.org/10.1016/S0021-9290(00)00101-9
- Bishop, D., Spencer, M., Duffield, R., & Lawrence, S. (2001). The validity of a repeated sprint ability test. Journal of Science and Medicine in Sport, 4(1), 19–29. https://doi.org/https://doi.org/10.1016/S1440-2440(01)80004-9
- Bloomfield, J., Polman, R., & O’Donoghue, P. (2007). Physical demands of different positions in FA Premier League soccer. Journal of Sports Science & Medicine, 6(1), 63–70.
- Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015). The use of wearable microsensors to quantify sport-specific movements. Sports Medicine, 45(7), 1065–1081. https://doi.org/https://doi.org/10.1007/s40279-015-0332-9
- Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: A systematic review. Sports Medicine, 43(10), 1025–1042. https://doi.org/https://doi.org/10.1007/s40279-013-0069-2
- Dellaserra, C. L., Gao, Y., & Ransdell, L. (2014). Use of integrated technology in team sports: A review of opportunities, challenges, and future directions for athletes. Journal of Strength and Conditioning Research, 28(2), 556–573. https://doi.org/https://doi.org/10.1519/JSC.0b013e3182a952fb
- Deutsch, M., Maw, G., Jenkins, D., & Reaburn, P. (1998). Heart rate, blood lactate and kinematic data of elite colts (under-19) rugby union players during competition. Journal of Sports Sciences, 16(6), 561–570. https://doi.org/https://doi.org/10.1080/026404198366524
- Dogramaci, S. N., Watsford, M. L., & Murphy, A. J. (2011). The reliability and validity of subjective notational analysis in comparison to global positioning system tracking to assess athlete movement patterns. Journal of Strength and Conditioning Research, 25(3), 852–859. https://doi.org/https://doi.org/10.1519/JSC.0b013e3181c69edd
- Drust, B., Reilly, T., & Rienzi, E. (1998). Analysis of work rate in soccer. Sports Exercise and Injury, 4(4), 151–155.
- Duffield, R., Reid, M., Baker, J., & Spratford, W. (2010). Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. Journal of Science and Medicine in Sport, 13(5), 523–525. https://doi.org/https://doi.org/10.1016/j.jsams.2009.07.003
- Duthie, G., Pyne, D., & Hooper, S. (2003). The reliability of video based time motion analysis. Journal of Human Movement Studies, 44(3), 259–271.
- Edwards, S., White, S., Humphreys, S., Robergs, R., & O’Dwyer, N. (2019). Caution using data from triaxial accelerometers housed in player tracking units during running. Journal of Sports Sciences, 37(7), 810–818. https://doi.org/https://doi.org/10.1080/02640414.2018.1527675
- Gabbett, T. J. (2013). Quantifying the physical demands of collision sports: Does microsensor technology measure what it claims to measure? Journal of Strength and Conditioning Research, 27(8), 2319–2322. https://doi.org/https://doi.org/10.1519/JSC.0b013e318277fd21
- Jackson, B. M., Polglaze, T., Dawson, B., King, T., & Peeling, P. (2018). Comparing global positioning system and global navigation satellite system measures of team-sport movements. International Journal of Sports Physiology and Performance, 13(8), 1005–1010. https://doi.org/https://doi.org/10.1123/ijspp.2017-0529
- Jennings, D., Cormack, S., Coutts, A. J., Boyd, L., & Aughey, R. J. (2010). The validity and reliability of GPS units for measuring distance in team sport specific running patterns. International Journal of Sports Physiology and Performance, 5(3), 328–341. https://doi.org/https://doi.org/10.1123/ijspp.5.3.328
- Lothian, F., & Farrally, M. (1994). A time-motion analysis of women’s field hockey. Journal of Human Movement Studies, 26(5), 255–265.
- McInnes, S., Carlson, J., Jones, C., & McKenna, M. (1995). The physiological load imposed on basketball players during competition. Journal of Sports Sciences, 13(5), 387–397. https://doi.org/https://doi.org/10.1080/02640419508732254
- Osgnach, C., Poser, S., Bernardini, R., Rinaldo, R., & Di Prampero, P. E. (2010). Energy cost and metabolic power in elite soccer: A new match analysis approach. Medicine and Science in Sports and Exercise, 42(1), 170–178. https://doi.org/https://doi.org/10.1249/MSS.0b013e3181ae5cfd
- Petersen, C., Pyne, D., Portus, M., & Dawson, B. (2009). Validity and reliability of GPS units to monitor cricket-specific movement patterns. International Journal of Sports Physiology and Performance, 4(3), 381–393. https://doi.org/https://doi.org/10.1123/ijspp.4.3.381
- Polglaze, T., & Dawson, B. (1992). The physiological requirements of the positions in state league volleyball. Sports Coach, 15(1), 32–37.
- Polglaze, T., Dawson, B., & Peeling, P. (2016). Gold standard or fool’s gold? The efficacy of displacement variables as indicators of energy expenditure in team sports. Sports Medicine, 46(5), 657–670. https://doi.org/https://doi.org/10.1007/s40279-015-0449-x
- Polglaze, T., Tan, J. H. Y., & Peeling, P. (2021). Placement of team sport GPS devices for reliability assessment. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Published Ahead-of-Print
- Pyne, D. (2012). Data collection and analysis. In C. J. Gore & R. K. Tanner (Eds.), Physiological tests for elite athletes (2): 35-42. Human Kinetics.
- Reilly, T., & Bowen, T. (1984). Exertional costs of changes in directional modes of running. Perceptual and Motor Skills, 58(1), 149–150. https://doi.org/https://doi.org/10.2466/pms.1984.58.1.149
- Reilly, T., & Thomas, V. (1976). A motion analysis of work-rate in different positional roles in professional football match-play. Journal of Human Movement Studies, 2(2), 87–97.
- Romas, I., & Isles, R. (1986). A game analysis of the physiological requirements of attack and midfield state league lacrosse players. Sports Coach, 10(1), 42–45.
- Taylor, J. B., Wright, A. A., Dischiavi, S. L., Townsend, M. A., & Marmon, A. R. (2017). Activity demands during multi-directional team sports: A systematic review. Sports Medicine, 47(12), 2533–2551. https://doi.org/https://doi.org/10.1007/s40279-017-0772-5
- Warman, G. E., Cole, M. H., Johnston, R. D., Chalkley, D., & Pepping, G.-J. (2019). Using microtechnology to quantify torso angle during match-play in field hockey. Journal of Strength and Conditioning Research, 33(10), 2648–2654. https://doi.org/https://doi.org/10.1519/JSC.0000000000003238
- Williams, M., & Morgan, S. (2009). Horizontal positioning error derived from stationary GPS units: A function of time and proximity to building infrastructure. International Journal of Performance Analysis in Sport, 9(2), 275–280. https://doi.org/https://doi.org/10.1080/24748668.2009.11868483
- Williford, H. N., Olson, M. S., Gauger, S., Duey, W. J., & Blessing, D. L. (1998). Cardiovascular and metabolic costs of forward, backward, and lateral motion. Medicine and Science in Sports and Exercise, 30(9), 1419–1423. https://doi.org/https://doi.org/10.1097/00005768-199809000-00011
- Yurtman, A., & Barshan, B. (2019). Novel noniterative orientation estimation for wearable motion sensor units acquiring accelerometer, gyroscope, and magnetometer measurements. IEEE Transactions on Instrumentation and Measurement, 69(6), 3206–3215. https://doi.org/https://doi.org/10.1109/TIM.2019.2930437
- Zhou, Z., Wu, J., Wang, J., & Fourati, H. (2018). Optimal, recursive and sub-optimal linear solutions to attitude determination from vector observations for GNSS/accelerometer/magnetometer orientation measurement. Remote Sensing, 10(3), 377. https://doi.org/https://doi.org/10.3390/rs10030377