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Experimental evaluation of UWB indoor positioning for sport postures

Matteo Ridolfi (UGent) , Stef Vandermeeren (UGent) , Jense Defraye, Heidi Steendam (UGent) , Joeri Gerlo (UGent) , Dirk De Clercq (UGent) , Jeroen Hoebeke (UGent) and Eli De Poorter (UGent)
(2018) SENSORS. 18(1).
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Organization
Abstract
Radio frequency (RF)-based indoor positioning systems (IPSs) use wireless technologies (including Wi-Fi, Zigbee, Bluetooth, and ultra-wide band (UWB)) to estimate the location of persons in areas where no Global Positioning System (GPS) reception is available, for example in indoor stadiums or sports halls. Of the above-mentioned forms of radio frequency (RF) technology, UWB is considered one of the most accurate approaches because it can provide positioning estimates with centimeter-level accuracy. However, it is not yet known whether UWB can also offer such accurate position estimates during strenuous dynamic activities in which moves are characterized by fast changes in direction and velocity. To answer this question, this paper investigates the capabilities of UWB indoor localization systems for tracking athletes during their complex (and most of the time unpredictable) movements. To this end, we analyze the impact of on-body tag placement locations and human movement patterns on localization accuracy and communication reliability. Moreover, two localization algorithms (particle filter and Kalman filter) with different optimizations (bias removal, non-line-of-sight (NLoS) detection, and path determination) are implemented. It is shown that although the optimal choice of optimization depends on the type of movement patterns, some of the improvements can reduce the localization error by up to 31%. Overall, depending on the selected optimization and on-body tag placement, our algorithms show good results in terms of positioning accuracy, with average errors in position estimates of 20 cm. This makes UWB a suitable approach for tracking dynamic athletic activities.
Keywords
Biomechanics and Motor control of Human Movement, Kalman filter, UWB, athletes, indoor localization, particle filter, sports, tracking

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Chicago
Ridolfi, Matteo, Stef Vandermeeren, Jense Defraye, Heidi Steendam, Joeri Gerlo, Dirk De Clercq, Jeroen Hoebeke, and Eli De Poorter. 2018. “Experimental Evaluation of UWB Indoor Positioning for Sport Postures.” Sensors 18 (1).
APA
Ridolfi, M., Vandermeeren, S., Defraye, J., Steendam, H., Gerlo, J., De Clercq, D., Hoebeke, J., et al. (2018). Experimental evaluation of UWB indoor positioning for sport postures. SENSORS, 18(1).
Vancouver
1.
Ridolfi M, Vandermeeren S, Defraye J, Steendam H, Gerlo J, De Clercq D, et al. Experimental evaluation of UWB indoor positioning for sport postures. SENSORS. MDPI AG; 2018;18(1).
MLA
Ridolfi, Matteo, Stef Vandermeeren, Jense Defraye, et al. “Experimental Evaluation of UWB Indoor Positioning for Sport Postures.” SENSORS 18.1 (2018): n. pag. Print.
@article{8548260,
  abstract     = {Radio frequency (RF)-based indoor positioning systems (IPSs) use wireless technologies (including Wi-Fi, Zigbee, Bluetooth, and ultra-wide band (UWB)) to estimate the location of persons in areas where no Global Positioning System (GPS) reception is available, for example in indoor stadiums or sports halls. Of the above-mentioned forms of radio frequency (RF) technology, UWB is considered one of the most accurate approaches because it can provide positioning estimates with centimeter-level accuracy. However, it is not yet known whether UWB can also offer such accurate position estimates during strenuous dynamic activities in which moves are characterized by fast changes in direction and velocity. To answer this question, this paper investigates the capabilities of UWB indoor localization systems for tracking athletes during their complex (and most of the time unpredictable) movements. To this end, we analyze the impact of on-body tag placement locations and human movement patterns on localization accuracy and communication reliability. Moreover, two localization algorithms (particle filter and Kalman filter) with different optimizations (bias removal, non-line-of-sight (NLoS) detection, and path determination) are implemented. It is shown that although the optimal choice of optimization depends on the type of movement patterns, some of the improvements can reduce the localization error by up to 31\%. Overall, depending on the selected optimization and on-body tag placement, our algorithms show good results in terms of positioning accuracy, with average errors in position estimates of 20 cm. This makes UWB a suitable approach for tracking dynamic athletic activities.},
  articleno    = {168},
  author       = {Ridolfi, Matteo and Vandermeeren, Stef and Defraye, Jense and Steendam, Heidi and Gerlo, Joeri and De Clercq, Dirk and Hoebeke, Jeroen and De Poorter, Eli},
  issn         = {1424-8220},
  journal      = {SENSORS},
  language     = {eng},
  number       = {1},
  publisher    = {MDPI AG},
  title        = {Experimental evaluation of UWB indoor positioning for sport postures},
  url          = {http://dx.doi.org/10.3390/s18010168},
  volume       = {18},
  year         = {2018},
}

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