Development of speed/trajectory measurement system using smart glasses for beginning or unskilled curlers

Abstract

In this study, a smart glasses measurement system was developed to provide real-time speed and trajectory information of the stone in curling. For beginners and unskilled or student athletes who do not have sufficient experience with curling or wheelchair curling, the speed and trajectory information aid in delivery of the stone. The system consists of a pair of smart glasses, tablet PC, gateway (type of small computer), and three speed and distance sensor blocks with a case that has two sensors using lasers to measure distance. The smart glasses and tablet PC display the speed and trajectory of the stone measured by three sensor blocks in real time, allowing the user to observe the condition of the stone immediately after throwing it. Experiments were conducted to confirm the accuracy of the speed and distance measurement of the developed system. Experimental results show that the maximum speed measurement error is approximately 0.0056 m/s and the maximum distance measurement error is approximately 8 mm. The developed system can be used by practicing athletes to collect information on the speed and trajectory of the stone, which varies based on the conditions of the arena including ice surface temperature, ice surface condition, air temperature, and humidity. The collected data can be used as basic information on ice friction, which is necessary for curling research. This system was developed to support Korean curling teams preparing for the 2018 PyeongChang Winter Olympics and Paralympics.

Keywords

Smart glasses real time delivery curling speed and trajectory of the stone

Get full access to this article

View all access options for this article.

References

Vickers

JN.

Visual control when aiming at a far target. J Exp Psychol Hum Percept Perform 1996; 22(2): 342–354.

Goodwin

Velicer

Intille

SS.

Telemetric monitoring in the behavior sciences. Behav Res Methods 2008; 40(1): 328–341.

Lee

Kil

Kim

A low-cost visual occlusion device. Behav Res Methods 2014; 46(4): 935–948.

Paxton

Rodriguez

Dale

PsyGlass: capitalizing on Google Glass for naturalistic data collection. Behav Res Methods 2015; 47(3): 608–619.

Bradley

JL.

The sports science of curling: a practical review. J Sports Sci Med 2009; 8(4): 495–500.

Kivi

Auld

Directional accuracy of the delivery in competitive curlers. ISBS Conf Proc Arch 2012; 1(1): 350–353.

World Curling Federation. Wheelchair curling, http://www.worldcurling.org/about-wheelchair-curling (acces-sed 21 March 2018).

World Curling Federation. Rules and regulations, http://www.worldcurling.org/rules-and-regulations (accessed 21 March 2018).

Denny

Curling rock dynamics. Can J Phys 1998; 76(4): 295–304.

10.

Harrington

EL.

An experimental study of the motion of curling stones. T Roy Soc Can 1924; 18: 247–259.

11.

Jensen

Shegelski

MR.

The motion of curling rocks: experimental investigation and semi-phenomenological description. Can J Phys 2004; 82(10): 791–809.

12.

Kietzig

. Microscopic ice friction. PhD Thesis, The University of British Columbia, Vancouver, Canada, 2010.

13.

Maeno

Curl mechanism of a curling stone on ice pebbles. Bull Glaciol Res 2010; 28: 1–6.

14.

Marmo

Farrow

Buckingham

, et al. Frictional heat generated by sweeping in curling and its effect on ice friction. Proc IMechE, Part L: J Materials: Design and Applications 2006; 220(4): 189–197.

15.

Penner

AR.

The physics of sliding cylinders and curling rocks. Am J Phys 2001; 69(3): 332–339.

16.

Shegelski

Niebergall

Walton

MA.

The motion of a curling rock. Can J Phys 1996; 74(9–10): 663–670.

17.

Shegelski

Lozowski

First principles pivot-slide model of the motion of a curling rock: qualitative and quantitative predictions. Cold Reg Sci Technol 2018; 146: 182–186.