In . j. acke spo s sci. ol. 4(2), 2022, 11-19. eISSN: 2695-4508
11
DOI: 10.30827/Digibug.---O iginal In es iga ion
Reliabili y and alidi y o mo ion senso and ada o measu ing
shu lecock eloci y in badmin on. Reliabili y and alidi y o measu e
eloci y in badmin on
Fiabilidad y alidez del senso de mo imien o y el ada pa a medi la
elocidad del olan e en bádmin on. Fiabilidad y alidez pa a medi la
elocidad en bádmin on
Abs ac
Rada dopple and ine ial measu emen uni a e o en used o analyze he p ojec ile eloci y. The aim o he
p esen s udy was o analyse he eliabili y and alidi y o a speci ically mo ion senso (named: Zepp Tennis) and
a ada (Dopple - ada gun) o measu ing p ojec ile eloci y. Thi y- ou (no ice, in e media e and expe ) s oke
badmin on smash in a loca ed a ge . P ojec ile eloci y om i e smashes we e ex ac ed using Zepp Tennis and
Dopple - ada gun da a. Be ween ep oducibili y o measu es was de e mined by compa ing he wo sessions. Zepp
Tennis and Dopple - ada gun measu es we e compa ed wi h high- equency ideo da a o es ablish alidi y. Bo h
ins umen s we e highly ep oducible be ween ials a di e en eloci y (in a-class co ela ion coe icien : 0.88-
0.94 o ada and 0.78-0.89 o mo ion senso ). In addi ion, he posi ioning o he ada ( on o he p ojec ile and
angula ion) and he placemen o he mo ion senso and he complexi y o he mo emen ( o ea m ex ension and
p ona ion) a ec he ep oducibili y. In e ms o alidi y, ada and mo ion senso p o ides an accu a e measu e
bu unde es ima e p ojec ile eloci y (-9.7% and -13.6% espec i ely).
Keywo ds: Shu le un, pe o mance analysis, ecological alidi y, lunge.
Resumen
El ada Dopple y la unidad de medición ine cial se u ilizan a menudo pa a analiza la elocidad del p oyec il. El
obje i o de es e es udio ue analiza la iabilidad y la alidez de un senso de mo imien o (denominado Zepp Tennis)
y un ada (pis ola de ada Dopple ) pa a medi la elocidad del p oyec il. T ein a y cua o jugado es (no a os,
in e medios y expe os) ealiza on golpes de bádmin on en un obje i o localizado. Se ex ajo la elocidad del
p oyec il de cinco golpes u ilizando los da os del Zepp Tennis y de la pis ola de ada Dopple . La ep oducibilidad
en e las medidas se de e minó compa ando las dos sesiones. Las medidas del Zepp Tennis y de la pis ola de ada
Dopple se compa a on con los da os de ídeo de al a ecuencia pa a es ablece su alidez. Ambos ins umen os
ue on al amen e ep oducibles en e las p uebas a di e en e elocidad (coe icien e de co elación in aclase:
0,88-0,94 pa a el ada y 0,78-0,89 pa a el senso de mo imien o). Además, la ubicación del ada (en en e del
p oyec il y angulación), la ubicación del senso de mo imien o y la complejidad del mo imien o (ex ensión y
p onación del an eb azo) a ec an a la ep oducibilidad. En é minos de alidez, el ada y el senso de mo imien o
p opo cionan una medida p ecisa, pe o subes iman la elocidad del p oyec il (-9,7% y -13,6% espec i amen e).
Palab as cla e: Ca e a, análisis del endimien o, alidez ecológica, zancada.
Ci e his a icle as:
Phomsoupha, M., Bonneau, F., & La aye, G. (2022). Reliabili y and alidi y o mo ion senso and ada o measu ing shu lecock
eloci y in badmin on. In e na ional Jou nal o Racke Spo s Science, 4(2), 11-19.
This is an open access a icle unde he CC BY license (h ps://c ea i ecommons.o g/licenses/by/4.0/).
Co esponding au ho : Michael Phomsoupha, [email p o ec ed]
Michael Phomsoupha 1, 2 *, Flo ie Bonneau 3, 4 and Guillaume La aye 5
1 M2S (Labo a oi e Mou emen , Spo , San é), Uni . o Rennes, - EA 1274, Rennes, F ance
2 APCoSS - Ins i u e o Physical Educa ion and Spo s Sciences (IFEPSA), Uni e si é Ca holique de l’Oues ,
Ange s, F ance
3 CIAMS, Uni . Pa is-Sud, Uni e si é Pa is-Saclay, 91405 O say Cedex, F ance
4 CIAMS, Uni e si é d’O léans, 45067, O léans, F ance
5 Resea ch Cen e o Spo s Science, Sou h U al S a e Uni e si y Chelyabinsk, Russia
Recei ed: 29-11-2021
Accep ed: 10-11-2022
In . j. acke spo s sci. ol. 4(2), 2022, 11-19. eISSN: 2695-4508 Michael Phomsoupha, Flo ie Bonneau & Guillaume La aye
12
INTRODUCTION
The abili y o p oduce a high p ojec ile eloci y
du ing a s oke o a sho is one o he main
pe o mance ac o s in spo s such as able ennis,
ennis, oo ball and baseball. Fu he mo e, high
eloci y is co ela ed wi h pe o mance in se e al
spo s (La aye e al., 2012). P ojec ile can include
objec s (ball, shu lecock…) o a hle es in ligh . In
Badmin on, he shu lecock eloci y e ol ed linea ly
wi h skill le els (Phomsoupha & La aye, 2020).
Especially in badmin on, many s udies in es iga ed
he shu lecocks eloci y o ind he biomechanical
p inciples ha op imize he mo ion. In badmin on
games, he highes eloci y is ob ained du ing he
smash s oke, which gene ally allows o inish a
ally (Rambely e al., 2005). A ecen s udy showed
ha du ing he di e en Olympic Games inals in
men’s single, smash is used in abou 10 o 14% o
he o al s okes (La aye e al., 2015). The smash can
be de ined as an agg essi e o e head sho wi h a
downwa d ajec o y (Phomsoupha & La aye, 2015).
A his ime, he eco d o shu lecock eloci y is 493
km/h pe o med by he Malaysian Tan Boon Heong
(Yonex, 2013).
In such a con ex , assessing he shu lecock
eloci y wi h accu acy is a main s ake o a hle e
moni o ing o es ing. To eco d pe o mance, image
p ocessing is applied o a ious ields o spo s, such
as mo ion analysis, game analysis (La aye e al.,
2015), and physical educa ion (Nagasawa e al., 2012).
The in o ma ion including da a om he science s a
is needed by he playe , he supe iso , and he coach
o imp o e he pe o mance (Nagasawa e al., 2012;
Takahashi & Kawaha a, 2011). Fu he mo e, his is
in o ma ion eedback o he playe ’s pe o mance.
To eco d he maximal eloci y o he p ojec ile,
s udies habi ually used s anda d ideo came a
(Hussain & A shad Ba i, 2011; La aye e al., 2014).
Howe e , his me hod e eals wo main weaknesses.
The s anda d e o o measu emen depended o he
a io o he launch eloci y on he numbe o ame pe
second and esolu ion o he sys em (Nagasawa e al.,
2012). The momen o he peak eloci y has o be as
close as possible o he momen he shu lecock qui s
he acke . The con ac be ween acke s, speci ically
he s ing and he ball happens a a e y sho ime
(abou 5-6 ms) (Mille , 2006). Phomsoupha & La aye
(2014) showed ha he shu lecock eloci y V (in m.s-1)
is a loga i hmic unc ion o ime T (in ms) as ollow:
V= -9.2 ln(T) +2.4, meaning ha he eloci y is di ided
by wo imes jus 0.05 sec a e he end o he acke
con ac . The di e ence o eloci y be ween eli e and
high skilled playe s is abou 10 m.s-1 (Phomsoupha
& La aye, 2014), whe eas he eloci y accu acy o a
came a a 50 ps is abou 5 m.s-1. This showed ha i is
impossible o assess a badmin on shu lecock eloci y
wi h such de ices.
The measu emen o he eloci y o p ojec ile used
in spo games is becoming inc easingly common.
Such speeds a e usually measu ed using ada guns
(Robinson & Robinson, 2016). These de ices measu e
he equency di e ence be ween he e lec ed signal
and he ansmi ed signal o ela e he ela i e
speed o he ball and he ada (Halliday e al., 2011).
An inc ease in equency o he e lec ed signal
shows he p ojec ile is app oaching and a dec ease
indica es an inc ease o he dis ance. Mo eo e , ada
gun de ices measu e only he adial eloci y and will
always unde -es ima e he eal eloci y (F ench, 1968;
Resnick, 1968).
Wi h ad ances in mic oelec onics, wea ables
ecen ly gained signi ican a en ion in spo s (Coyle
e al., 2009). Speci ically, o acke spo s, he
machine lea ning me hods de ec and classi y a basic
se o sho classes such as o ehand and backhand
(Pe ko ic e al., 2001). Mo eo e , ine ial measu emen
uni (IMU) including accele ome e , gy oscopes, and
magne ome e could be used o de ec he occu ence
o sho s (Connaghan e al., 2010). Beyond academic
esea ch, ew de ices ha e been made and ma ke ed
o playe s and aine s. The mos p ominen a e
ce ainly Babola Play and Zepp Tennis. An IMU wi h a
wi eless ansmi ing de ice is a ached on he acke
handle and da a is sen o a sma phone o a able
o u he analysis.
To ob ain a be e accu acy, some s udies used
3D mo ion analysis sys em and high speed came a o
eco d he shu lecock eloci y (Domone e al., 2012;
Huang e al., 2002; Jai ne & Wol , 2007; Lee, 1993;
S ohmeye e al., 2009; Tsai e al., 2005, 2006, 2008;
Tsai, Chang, e al., 2000; Tsai, Huang, e al., 2000). High
speed came a allows ha he p ojec ile o e ol es
in a plan, o a oid pa allax e o o measu emen ,
whe eas 3D mo ion analysis is ee o his kind o
e o . This allows o ob ain an accu acy be ween 12
and 50 m.s-1, depending on he came a equency (120
and 500 ps in s udies) and i could be conside ed o
he measu emen o eloci y as he gold s anda d.
Howe e , hese de ices a e expensi e o coaches
and pe sonal aine s and hei use is la gely con ined
o Uni e si y labo a o ies and eli e spo s clubs
(Balsalob e-Fe nándeza e al., 2015). Fu he mo e,
some o hese ins umen s need speci ic compu e
so wa e o analyse he da a.
Howe e , o he bes o ou knowledge, he e a e
no s udies alida ing a mo ion senso coupled wi h
a sma phone applica ion o a ada o measu ing
shu lecock eloci y. The aim o he p esen s udy,
he e o e, was o analyse he alidi y and eliabili y
o a speci ically ada (Dopple - ada gun) and a
mo ion senso o IMU (named: Zepp Tennis) o
measu ing p ojec ile eloci y, by compa ing wi h a
‘gold s anda d’ measu emen sys em, he Vicon high
speed came a sys em.
Reliabili y and alidi y o mo ion senso and ada o measu ing shu lecock eloci y in badmin on
13
MATERIAL AND METHODS
Pa icipan s
Thi y- ou heal hy olun ee s (12 no ices, 11
in e media es and 11 expe s) ee o inju y (age = 20.1 ±
3.5 yea s; heigh = 1.75 ± 10.1 m; body mass = 69.2 ± 13.3 kg;
aining expe ienced 8.3 ± 3.1 yea s) pa icipa ed in his
s udy (Table 1). Thei skills we e e lec ed acco ding o
hei yea o expe ience and a e labelled as ollowed:
no ice (lowe han 1 yea ); in e media e (be ween 3
o 5 yea s o p ac ice) and expe s (mo e han 5 yea s
o p ac ice). All pa icipan s we e physically heal hy,
in good physical condi ion, and epo ed no inju ies
du ing he ime o he s udy. They we e ully in o med
abou he p o ocol be o e pa icipa ing in his s udy.
In o med consen was ob ained p io o all es ing
om all subjec s, in acco dance wi h he app o al o
he local e hical commi ee and adhe ed o he la es
amendmen s o he Decla a ion o Helsinki. The w i en
in o med consen was ob ained om each pa icipan
be o e expe imen . The sample was di ided on h ee
g oups o ob ain di e en maximal shu lecock eloci y
du ing a smash. The yea o p ac ice pe mi o ob ain
di e en eloci y.
Table 1.
Age and an h opome ic cha ac e is ics o he h ee samples (mean
and s anda d de ia ion).
Va iables No ice In e media e Expe
Age (yea s) 24.5 ± 7.6 21.1 ± 4.4 24.4 ± 8.1
Heigh (cm) 182.3 ± 7.2 179.9 ± 6.3 176.9 ± 9.7
Weigh (kg) 76.5 ± 9.8 72.8 ± 9.3 74.3 ± 1.7
T aining expe ienced
(yea s) 0.2 ± 0.7 4.1 ± 1.3 10.6 ± 2.9
S udy design
The pa icipan comple ed a gene al 10-min wa m-
up composed o jogging, uppe body dynamic s e ches
and s oke wi h he acke . Then, each pa icipan
pe o med i e badmin on smash s okes in a a ge
loca ed in on o him (2m x 2m). Du ing each ial,
pa icipan s we e no in o med o hei pe o mance.
Each smash s oke was sepa a ed by 30 sec passi e es
pe iod. A shu lecock was suspended om he ceiling
wi h a s ing a he playe ’s p e e ed hi ing heigh .
When in con ac wi h he acke , he shu lecock is
pulling away om he celling o p oduce he ajec o y
o he smash. No pa icipan exp essed esidual a igue
om p eceding p ocedu e. The expe imen ook place
in wo sessions wi h a minimum o 2 sepa a ed days
be ween each one.
Badmin on smash s okes
Pa icipan s pe o med badmin on smash s okes
wi h he same acke (Wilson D aco Blx; heigh = 674
mm; weigh = 86 g; lexibili y = semi- igid; s ing ension
= 10.5 kg). No ins uc ion was gi en o he pa icipan s
on how o p oceed du ing a badmin on smash s oke.
They we e only ins uc ed o s oke as ha d as possible.
Equipmen
Spo s ada . A Dopple - ada gun- S alke Spo
sys em (Texas, Uni ed S a es) a a equency o 250
Hz and an accu acy claimed by he cons uc o o ±
0.027 m/s was used o measu e he p ojec ile eloci y.
The ada pe mi ed o ob ain he maximal and
he e olu ion o he eloci y du ing each ial. The
expe imen e is loca ed 2 me e s behind he playe in
he playe - a ge axis a app oxima ely 2m50 (Chelly &
Denis, 2001).
Mo ion senso . To eco d he shu lecock eloci y
wi h Zepp Tennis, a moun was a ached o he handle
o he acke and he senso was inse ed in o he
moun . The applica ion was designed o analysing he
eloci y o he acke and he eloci y po en ial o he
p ojec ile. Zepp Tennis is a ailable on he Apps o e
(Apple Inc., USA) and on Google play (Google Inc., USA).
High speed came a e e ence. The high-speed came a
eco ded by nine Vicon V8i mo ion cap u e sys em a a
equency o 500 Hz (Vicon Peak, Ox o d, UK) in o de
o measu e he p ojec ile eloci y. A e lec i e ma ke
o 14 mm diame e was a ixed on he on o he
shu lecock. The Vicon sys em was connec ed o a PC
equipped wi h he so wa e o analyse and ob ain he
maximal p ojec ile eloci y (Vicon Mo ion Sys em L d.,
UK). The ideo-based sys em is conside ed as he gold
s anda d e e ence o es ablishing concu en alidi y
o he eloci y. The ma e iel pe mi ed o compa e he
e o o he measu e wi h he o he ma e ials.
S a is ical analyses
Se e al analyses we e conduc ed o de e mine he
eliabili y and alidi y o badmin on smash s okes
using he mo ion senso and he ada in he p esen
s udy. To summa ise he da a om all pa icipan s
and each ial, desc ip i e s a is ics we e ealised.
All da a we e no mally dis ibu ed on he basis o
Shapi o-Wilk es .
i) Rela i e eliabili y is ela ed o he deg ee o
which sys em main ain hei posi ion in a sample
wi h epea ed measu emen s (A kinson & Ne ill,
1998). To analyse he es - e es eliabili y o bo h ins-
umen s be ween ials o measu emen s, in a-class
co ela ion coe icien (ICC) was pe o med. These
coe icien s we e compu ed as [ICC = 1- (SEM/SD)²],
whe e SEM is he s anda d e o in measu emen and
SD is he mean be ween pa icipan SD o he ial
ob ained by weighing he a iances on he basis o
hei deg ees o eedom (Hopkins, 2000). The SEM was
compu ed as [SEM = SD (be ween- ial di e ence in
measu es) /√2]. To analyse he eliabili y o he mo ion
senso and he ada when measu ing smash s oke o
each pa icipan , he coe icien o a ia ion (CV) was
used, on he basis o [CV = (SEM/mean)/100%], whe e
In . j. acke spo s sci. ol. 4(2), 2022, 11-19. eISSN: 2695-4508 Michael Phomsoupha, Flo ie Bonneau & Guillaume La aye
14
he mean akes in o conside a ion all pa icipan s and
bo h ials (A kinson & Ne ill, 1998; Hopkins, 2000). To
de ec sys ema ic bias be ween ials, S uden ’s - es
was pe o med (A kinson & Ne ill, 1998).
ii) Da a se used concu en alidi y has no mal
dis ibu ion. The di e ence be ween he ma e ials
was examined using a one-way analysis o a iance.
When a signi ican F- alue was ound (p < 0.05), he
Bon e oni pos -hoc was applied (Cohen, 1988).
In complemen , he bi a ia e Pea son p oduc
momen co ela ion coe icien (R) was used.
iii) Bland-Al man plo s we e c ea ed, which a e known
o gi e a good ep esen a ion o he ag eemen
be ween he h ee ins umen s (Bland & Al man,
1986). To quan i y he s a is ical dispe sion, a
Whi e’s es was used (Whi e, 1980) o ob ain he
le el o he e oscedas ici y.
Concu en alidi y was assessed by compa ing he
mean o ials pe o med a he maximal pe o mance
be ween wo sys ems. Simila s a is ical measu es
o hose used o assess eliabili y we e employed
o concu en alidi y. Mo e p ecisely, we compu ed
S uden ’s - es o pai ed samples (sys ema ic
bias), ICC alues ( ela i e alidi y), be ween-sys em
di e ences in means (absolu e alidi y in aw uni s
and %) and CVs (absolu e alidi y in %). To ob ain a
be e esul , he e o size and a maximal e o o 5% is
conside ed o be accep able o a p ac ical applica ion
compa ed o high-speed came as. On he basis o
commonly used h esholds, he ela i e eliabili y and
alidi y measu es we e conside ed poo , ai and good
when he co esponding ICC alues we e <0.4; 0.4-0.75;
>0.75 (Po ney & Wa kins, 2009). The absolu e eliabili y
and alidi y o measu es we e conside ed adequa e
when he co esponding CV alues we e equal o o
lowe han 10% (S okes, 1985). All calcula ions we e
pe o med using S a is ica 10 so wa e (S a So Inc.,
Tulsa, OK), Mic oso Excel 2010 (Mic oso Co p.,
Redmon , WA, USA) and so wa e R (www. -p ojec .o g).
The in a-session e o is ee o me hodological
e o s and may be conside ed as “in insic a ia ion”
and se ed as an app op ia e baseline o compa isons,
emaining independen o o he e o sou ces. In a-
session eliabili y o p ojec ile pe o mance is c i ically
impo an o ensu e ha obse ed di e ences
be ween es ing ials, a e no due o sys ema ic bias,
such as lea ning e ec , a igue, o andom e o due
o possible biological o mechanical a ia ion. This
a iabili y is usually caused by he emo ional s a e o
he pa icipan s be ween he ials and hei le el o
adap a ion wi h he measu ing sys em.
RESULTS
Tes - e es eliabili y
The eloci y pa ame e s o each p ojec ile and he
mean be ween- ial di e ence a e epo ed in Table 2
o he h ee sys ems. The be ween- ial di e ence in
p ojec ile eloci y ac oss he le el (no ice, in e media e
and expe ) we e 5.4 ± 3.7 m.s-1, 5.5 ± 2.8 m.s-1 and 4.8 ±
3.4 m.s-1 o he ada ; 6.6 ± 6.4, 4.9 ± 4.2 m.s-1 and 5.1 ±
3.4 m.s-1 o he mo ion senso and 5.2 ± 4.9 m.s-1, 4.9 ±
2.9 m.s-1 and 5.5 ± 3.0 m.s-1 o he high-speed came as.
The ICC and CV alues speci ic o he eliabili y a he
di e en es speeds a e epo ed in Table 2 o he h ee
sys ems. The means o he ICCs was 0.907 ± 0.027 ( ange
0.88-0.94), 0.840 ± 0.054 ( ange 0.78-0.89) and 0.940 ± 0.018
( ange 0.92-0.96) o he ada , he mo ion senso and he
high-speed came as, espec i ely. Thei co esponding
mean CV alues we e 5.8 ± 0.7 ( ange 5.3-6.6), 7.7 ± 1.8
( ange 6.1-9.6) and 4.3 ± 1.0 ( ange 3.5-5.4). O e all, all h ee
sys ems demons a ed a good ela i e and adequa e
absolu e eliabili y o p ojec ile eloci y (Table 3).
Table 2.
P ojec ile eloci y s ide pa ame e s calcula ed using he ada , he mo ion senso and he high-speed came a sys ems.
Rada Mo ion senso High speed came a
Pa ame e (uni ) Session 1 Session 2 ∆ [%] Session 1 Session 2 ∆ (%) Session 1 Session 2 ∆ (%)
Veloci y (m.s-1)
No ice 34.9 ± 8.9 33.3 ± 7.8 4.6 33.6 ± 10.1 33.4 ± 8.4 0.8 37.5 ± 9.1 37.2 ± 7.5 0.9
In e media e 45.1 ± 6.2 46.2 ± 7.9 -2.6 47.9 ± 4.5 46.6 ± 7.7 2.7 48.1 ± 6.1 49.1 ± 8.9 -1.9
Expe 57.1 ± 9.9 57.9 ± 8.7 -1.5 53.8 ± 8.3 54.4 ± 7.3 -1.3 56.7 ± 9.5 60.4 ± 10.8 -1.2
No e: The mean ± SD o each ial and es eloci y, and he di e ence be ween ials (∆, in %) a e epo ed.
Table 3.
The ela i e (in a-class co ela ion coe icien , ICC) and absolu e (coe icien o a ia ion, CV) ep oducibili y o p ojec ile eloci y s ide
pa ame e s calcula ed using he ada , he mo ion senso and he high-speed came a sys em.
Rada Mo ion senso High speed came a
Pa ame e (uni ) ICC CV (%) ICC CV (%) ICC CV (%)
Veloci y (m.s-1)
No ice 0.937 6.6 0.893 9.6 0.940 5.4
In e media e 0.884 5.5 0.785 7.5 0.921 4.1
Expe 0.901 5.3 0.842 6.1 0.957 3.5
No e: ICC < 0.75 and CV > 10% a e i alicised and ep esen ai ela i e ep oducibili y and less han adequa e absolu e ep oducibili y o measu es,
espec i ely.
Reliabili y and alidi y o mo ion senso and ada o measu ing shu lecock eloci y in badmin on
15
Also, he Pea son p oduc momen co ela ion
coe icien showed almos pe ec co ela ion
be ween he ada and he high-speed came a
measu emen s o eloci y ( = 0.917; p < 0.001); and
good co ela ion be ween he mo ion senso and he
high-speed came a measu emen s ( =0.682; p < 0.001)
( igu e 1 e 2)
Co ela ion be ween ada and high-speed came a
y = 0.9447x + 6.703
High-speed came a eloci y (in m/s)
0
020
20
40
40
60
60
80
80
100
100
120
Rada eloci y (in m/s)
R2 linea = 0.9171
Figu e 1. Concu en alidi y be ween ada and high-speed came a.
Co ela ion be ween mo ion senso and high-speed came a
y = 0.8944x + 10.273
High-speed came a eloci y (in m/s)
0
020
20
40
40
60
60
80
80
100
120
Mo ion senso eloci y
(
in m/s
)
R2 linea = 0.6817
Figu e 2. Concu en alidi y be ween mo ion senso and high-speed
came a.
Validi y
The mean o bo h ials is p esen ed in Table 3 o
each sys em, as a e he di e ences be ween ada
and mo ion senso and he e e ence sys em (high-
speed came as). Rada and mo ion senso eco ded
signi ican ly sho e eloci y compa ed o he high-
speed came as (Table 4). In con as , le el pa ame e s
eco ded using he ada and he mo ion senso
showed no signi ican di e ences (all le els, P > 0.05).
The ICC and CV alues desc ibing he concu en
alidi y o p ojec ile eloci y calcula ed using he
high-speed came a, agains he wo e e ence sys ems
a e epo ed in Table 5. The absolu e (ICC) concu en
alidi y o he ada and he mo ion senso was o e all
ai o p ojec ile eloci y agains he high-speed
came as (0.757 ± 0.207 and 0.866 ± 0.029 espec i ely).
The co esponding ela i e (CV) concu en alidi y
measu es we e highe han adequa e (12.5 ± 1.99 and
12.1 ± 0.46%).
Rada and mo ion senso alues we e signi ican ly
lowe han hose ob ained wi h he high-speed came a
(p < 0.05) ( igu e 3 and 4).
Table 4.
P ojec ile eloci y s ide pa ame e s calcula ed using he ada , he
mo ion senso and he high-speed came a sys ems.
Pa ame e
(uni s) Rada Mo ion
senso High
speed
came a
Rada
s high
speed
came a
Mo ion
senso s
high speed
came a
Veloci y (m.s1)∆ (%)
No ice 32.8 ± 8.6 32.2 ± 9.4 37.4 ± 8.3 -14.1* -16.2**
In e media e 44.3 ± 7.1 44.1 ± 6.1 48.6 ± 7.1 -9.8 -10.3*
Expe 56.2 ± 9.4 52.8 ± 7.8 60.1 ± 10.1 -6.9 -13.6*
No es: The mean ± SD o bo h ials combined a each es speed o
each sys em, and he di e ences be ween he high-speed came a
and he o he wo sys ems (∆ in %) a e epo ed.
*P < 0.05; ** P< 0.01, signi ican di e ence be ween he high-speed
came a and he ada o he mo ion senso using pai ed - es s.
Table 5.
The ela i e (in a-class co ela ion coe icien , ICC) and absolu e
(coe icien o a ia ion, CV) concu en alidi y o p ojec ile eloci y
calcula ed using he high-speed came a sys ems agains he ada
and he mo ion senso .
Rada s High speed
Came a Mo ion senso s
High speed Came a
Pa ame e (uni s) ICC CV (%) ICC CV (%)
Veloci y (m.s-1)
No ice 0.911 24.8*** 0.627 26.5***
In e media e 0.841 16.7*** 0.303 14.9***
Expe 0.825 16.8*** 0.295 17.2***
No e: ICC < 0.75 and CV > 10% a e i alicised and ep esen ai ela i e
ep oducibili y and less han adequa e absolu e ep oducibili y o
measu es, espec i ely.
*** P< 0.001, signi ican di e ence be ween he high-speed came a
and he ada o he mo ion senso using pai ed - es s.
DISCUSSION
The pu pose o his s udy was o analyse he
concu en alidi y and eliabili y o a ada (Dopple -
ada gun) and a mo ion senso (Zepp Tennis). The
ada and mo ion senso we e eliable, bu ada and
mo ion senso unde es ima ed eloci y compa ed o
high-speed came as. Hence, ada and mo ion senso
can be conside ed as a eliable sys em o compu ing
p ojec ile eloci y du ing a badmin on smash s oke
anging om no ices o expe s. Howe e , mo ion
senso did no demons a e good concu en alidi y
o each le el measu es and only o no ice o
ada , wa an ing cau ion agains he compa isons o
esul s be ween he high-speed came as and ada .
In e media e and expe le el ob ained om he ada
p o ed o be highly eliable and alid compa ed o ou
e ence sys ems.

In . j. acke spo s sci. ol. 4(2), 2022, 11-19. eISSN: 2695-4508 Michael Phomsoupha, Flo ie Bonneau & Guillaume La aye
16
-15-1.96 SD
+1.96 SD
Veloci y ada / high-speed came a
Mean o he wo ins umen s (m/s)
Di e ences be ween he wo ins umen s
(
m/s
)
Biais
-10
-5
0
5
10
Figu e 3. Bland-Al man plo s o ada and high-speed came a eloci y da a. The cen al line ep esen s he absolu e a e age di e ence
be ween ins umen s, while he uppe and he lowe lines ep esen ±1.96 SD.
-15
-1.96 SD
+1.96 SD
Veloci y mo ion senso / high-speed came a
Mean o he wo ins umen s (m/s)
Di e ences be ween he wo ins umen s
(
m/s
)
Biais
-10
-25
-20
-5
0
5
10
15
20
25
Figu e 4. Bland-Al man plo s o mo ion senso and high-speed came a eloci y da a. The cen al line ep esen s he absolu e a e age
di e ence be ween ins umen s, while he uppe and he lowe lines ep esen ±1.96 SD.
The wo sys ems demons a ed a good homoscedas ici y wi h no signi ican di e ences wi h he Whi e’s es on he quan i ica ion o he
s a is ical dispe sion o ada and o mo ion senso (bo h de ices, p < 0.05).
The use o se e al s a is ical pa ame e s is
ecommended o quan i ying he eliabili y o
measu es (A kinson & Ne ill, 1998). In his s udy,
all s a is ical indica o s implied high eliabili y o
eloci y de i ed om he h ee di e en sys ems. The
ine dis inc ion in p ojec ile eloci y and echnique
be ween ials is no mal a ia ions expec ed in any
es ing si ua ion. Hence he impo ance o es ablishing
he ep oducibili y o measu es de e mine which
di e ences exceed ypical a ia ions in pe o mance
(Gind e e al., 2016). O he han measu emen noise,
indi idual a ia ions in s oke biomechanics in he
a m mo emen con ibu ed o he impe ec eliabili y
o measu es analysed in he h ee sys ems. Kinema ics
mo emen s o he a m a e di e en and depending o
he le el ha p oduced di e en shu lecock eloci y
(Phomsoupha & La aye, 2020) and con ibu ed o he
impe ec eliabili y o measu es in all h ee sys ems.
The di e ences in s oke echnique be ween each ial
a e no mal a ia ions expec ed in any es ing si ua ion.
The impo ance o es ablishing he ep oducibili y o
es measu es o de e mine which di e ences exceed
ypical a ia ions in pe o mance (Gind e e al., 2016).
Fo ada speci ically, he be ween- ial ICCs we e
all abo e 0.880; and CVs below 10%. These esul s
end o highligh ha ada eco ded he maximal
speed du ing each s oke. Ou indica o s o eliabili y
o ada de ice pa ame e s end o show ha he
p ojec ile gene a ed highe maximal eloci y han
Reliabili y and alidi y o mo ion senso and ada o measu ing shu lecock eloci y in badmin on
17
acke head (Rambely e al., 2005). In addi ion, hese
esul s end o highligh ha he posi ioning o
he ada (i.e. in on o he p ojec ile and iden ic
angula ion) subs an ially a ec he ep oducibili y
o ada pa ame e s (Robinson & Robinson, 2016).
Fo mo ion senso speci ically, he be ween- ial
ICCs we e all abo e 0.780; and CVs below 10%. These
esul s show ha his de ice has a good eliabili y.
Mo eo e , nei he he posi ioning o he de ice (i.e
handle o w is ) no he di ec ion o complexi y o
he mo emen (i.e. o ea m ex ension and adio-ulna
p ona ion) subs an ially a ec he ep oducibili y o
accele ome e de i ed pa ame e s. The con i ma ion
o he ep oducibili y o eloci y pa ame e s du ing
smash s oke using ada and mo ion senso allowed
p ac i ione s o be con iden in hei abili y o eco d
hese speeds o e ime using hei de ice.
The concu en alidi y o p ojec ile eloci y
be ween ada / high-speed came as and mo ion
senso / high-speed came as was ai . On a e age,
ada unde es ima ed p ojec ile eloci y by -9.7%
and mo ion senso by -13.6% be ween high-speed
came as. These esul s showed a di e en way
be ween-sys em di e ence in cap u e eloci y and
ea men me hods. On one hand, he mo ion senso
consis s o an ex apola ion o he eloci y by he
in eg a ion o mula o he accele a ion on h ee
dimensions and he addi ion o he le e a m. The
wo majo d awbacks o he mo ion senso a e ha
he e is a possibili y ha ew p ojec ile eloci ies
will no be eco ded and he lack o conside a ion o
he acke de lec ion. The dynamics ob ained wi h a
de lexion coupled wi h a high accele a ion o he w is
con ibu e o acke head eloci y (Phomsoupha e al.,
2015). G ea e lexibili y inc eases he capaci y o he
acke o s o e and elease mo e s ain ene gy and
o inc ease he p ojec ile eloci y. In addi ion, he
mo ion senso seems unable o cap u e a p ojec ile
eloci y highe han 325 km/h (≈ 95 m/s). This ma e ial
is able o measu e p ojec ile eloci y accu a ely o
all popula ions, including ained a hle es bu his
is no possible o expe s and high speed. The e is
no equi emen and any expe ience o use and o
analyse he da a om mo ion senso . On he o he
hand, he ada consis s o bo h a ecei e and a
ansmi e . I sends a adio wa e ha is e lec ed
o by any objec ha is in he pa h. To calcula e he
speed, he ada ge s he echo and uses he p inciple
o Dopple shi . Howe e , he majo d awback is he
il on he sagi al plane which could eco d he acke
ins ead o he p ojec ile. To ensu e be e o ming
esul s, he ada gun should be posi ioned nea he
pa icipan (1 me e a shu lecock heigh du ing he
s oke) and he expe imen e ha e o be ca e ul wi h
he ecommenda ion o he manu ac u e abou he
ield o angle accu acy. Du ing he expe imen a ion,
a ound 20% o he p ojec ile eloci y was no
epo ed. Clinicians and scien is mus be awa e o
hese be ween-sys em de ia ions, pa icula ly when
compa ing esul s om di e en s udies, labo a o y
o clinics, and acqui ing new equipmen o he
pu pose o quan i ying p ojec ile eloci y. The da a o
p ojec ile we e homoscedas ici y be ween ada and
high-speed came as and be ween mo ion senso and
high-speed came as.
Conside ing he low eliabili y wi h a low alidi y
o he ada and he mo ion senso o measu e
shu lecock eloci y, co ec ion ac o s o alid absolu e
alues and o acili a e c oss-s udy compa isons o
esul s may be p oposed. Linea eg ession analyses
on ou da a sugges s using he ollowing equa ion o
ob ain eloci y (x ) om he high-speed came a ha
a e compa able o hose om he ada (0.945x +
6.703) and he mo ion senso (0.894x + 10.273) when
indi iduals eloci y anging om no ices o expe s
( igu e 1 and 2).
When analysing he eliabili y o he mo ion senso
and ada o measu ing he p ojec ile eloci y o
each pa icipan , he esul s showed alues ha
we e close o he ones ob ained wi h he high-speed
came a, despi e di e ences be ween de ices in
sampling equency. Fu he mo e, he ada and he
mo ion senso da a showed in Bland-Al man plo s
(Figu e 3 and 4) ha se e al o he p ojec ile eloci ies
we e close o he mean o he high-speed came a. This
is ep esen ing a low le el o conco dance eloci ies
be ween mo ion senso and high-speed came as
(Bland & Al man, 1986). The high ICC showed ha
mo ion senso is no eliabili y and he esul s should
be empe ed and could be inc eased accu acy wi h
he linea eg ession.
The e a e no p e ious s udies ha compa ed
di e en echnology o measu ing p ojec ile eloci y
wi h high-speed came a da a. Howe e , some s udies
used he high-speed came a, which seem o be he
bes way o eco d and analyse p ojec ile eloci y.
This allows o ob ain speci ic alues abou he highes
eloci y du ing he s oke and he ime o equi e i . Fo
he momen , he mos accu a e sys ems o measu ing
p ojec ile eloci y a e p o essional and labo a o y
high speed came as. This ype o came a pe mi s
o eco d a 500 o 1000 Hz compa ed o 60 Hz o
comme cial came a. The isk wi h a s anda d came a
was he maximal eloci y could be no eco ded du ing
he impac . Thus, expe imen al da a could miss he
highe alues. Ne e heless, he ad ancemen o new
echnologies will pe mi o in eg a e highe eco ding
equencies in he u u e on s anda d came a
(Balsalob e-Fe nándeza e al., 2015).
Thus, he o ien a ion has a g ea impac o he
pe o mance da a. Howe e , an expe ience in he
use o he ada was equi ed in o de o eco d he
co ec eloci y. This is he i s s udy ha alida es a
mo ion senso and ada o measu ing he p ojec ile
eloci y.
In . j. acke spo s sci. ol. 4(2), 2022, 11-19. eISSN: 2695-4508 Michael Phomsoupha, Flo ie Bonneau & Guillaume La aye
18
CONCLUSION
The abili y o e alua e and moni o p ojec ile eloci y
abili y is impo an in a eas o alen iden i ica ion and
spo ing pe o mance. The esul s o he p esen s udy
showed ha p ojec ile eloci y can be e alua ed using
wo ins umen s. Mo ion senso could be o ien ed o
he acke spo s ( ennis, squash…) and gol . Rada was
also mo e e icien o he h owing p ojec ile spo s
(baseball, oo ball, olleyball…). These indings could
help coaches and aine s who wish o moni o he
p ojec ile eloci y abili y o hei a hle es o clien s
in a alid and economic way wi h some ideas o he
limi a ion o each ma e ial.
CONFLICT OF INTEREST
All au ho s ha e decla ed he e is no any po en ial
con lic o in e es s conce ning his a icle.
REFERENCES
A kinson, G., & Ne ill, A. M. (1998). S a is ical me hods o
assessing measu emen e o ( eliabili y) in a iables
ele an o spo s medicine. Spo s Medicine, 26(4),
217-238.
Balsalob e-Fe nándeza, C., Glais e b, M., & Lockeyb, R. A.
(2015). The alidi y and eliabili y o an iPhone app
o measu ing e ical jump pe o mance. Jou nal o
Spo s Science, 33(15), 1574-1579.
Bland, J. M., & Al man, D. G. (1986). S a is ical me hods o
assessing ag eemen be ween wo me hods o clinical
measu emen . The Lance , 1(8476), 307-310.
Chelly, S. M., & Denis, C. (2001). Leg powe and hopping
s i ness: ela ionship wi h sp in unning pe o mance.
Medicine and Science in Spo s and Exe cise, 33(2), 326-
333.
Cohen, J. (1988). S a is ical powe analysis o he beha io
sciences (Law ence E).
Connaghan, D., Conai e, C., Kelly, P., & O’Conno , N. (2010).
Recogni ion o ennis s okes using key pos u es.
Signals and Sys ems Con e ence, 245-248.
Coyle, S., Mo is, D., Lau, K., Diamond, D., & Moyna, N.
(2009). Tex ilebased wea able senso s o assis ing
spo s pe o mance. Wea able and Implan able Body
Senso Ne wo ks, 307-311.
Domone, S., Whea , J., Choppin, S., Hamil on, N., &
Helle , B. (2012). Wa ele based de-noising o non
s a iona y kinema ic signals. 30 h Annual Con e ence
o Biomechanics in Spo s, 44, 376-379.
F ench, A. (1968). Special Rela i i y.
Gind e, C., Lussiana, T., Hebe -Losie , K., & Mo in, J. (2016).
Reliabili y and alidi y o he Myo es ® o measu ing
unning s ide kinema ics. Jou nal o Spo s Science,
34(7), 664-670.
Halliday, D., Resnick, R., & Walke , J. (2011). Fundamen als
o Physics (9 h edn).
Hopkins, W. G. (2000). Measu es o eliabili y in spo s
medicine and science. Spo s Medicine, 30, 1-15.
Huang, K. S., Shaw-Shiun, C., & Tsai, C. L. (2002). Kinema ic
analysis o h ee di e en badmin on backhand
o e head s okes. In e na ional Symposium on
Biomechanics in Spo s, 200-202.
Hussain, I., & A shad Ba i, M. (2011). Kinema ical analysis
o o ehand and backhand smash in badmin on.
Inno a i e Sys ems Design and Enginee ing, 2(7), 20-
26.
Jai ne , T., & Wol , G. (2007). Analysis o badmin on smash
wi h a mobile measu e de ice based on accele ome y.
XXV ISBA Symposium Vol 20, 282-284.
La aye, G., Debanne, T., & Choukou, M. A. (2012). Is he ball
eloci y dependen on expe ise? A mul idimensional
s udy in handball. In e na ional Jou nal o Pe o mance
Analysis in Spo , 12(3), 629-642.
La aye, G., Phomsoupha, M., & Do , F. (2015). Changes in
he game cha ac e is ics o a badmin on ma ch: a
longi udinal s udy h ough he Olympic Game inals
analysis in men’s singles. Jou nal o Spo s Science and
Medicine, 14, 584-590.
La aye, G., Wagne , P., & Tombleson, T. (2014).
Coun e mo emen jump heigh : Gende and spo -
speci ic di e ences in he o ce- ime a iables. The
Jou nal o S eng h & Condi ioning Resea ch, 28, 1096-
1105.
Lee, B. K. (1993). The e ec s o he kinema ic link p inciple
on pe o mance. 11 In e na ional Symposium on
Biomechanics in Spo s, 239-242.
Mille , S. (2006). Mode n ennis acke s, balls, and su aces.
B i ish Jou nal o Spo s Medicine, 40(5), 401-405.
Nagasawa, M., Ha o i, Y., Kaku a, M., Hayashi, T., & Sekine,
Y. (2012). Smash mo ion analysis o badmin on om
image. P oceedings o he IEEJ Image Elec onics and
Visual Compu ing Wo kshop, 1-8.
Pe ko ic, M., Jonke , W., & Zi ko ic, Z. (2001). Recognizing
S okes in Tennis Videos Using Hidden Ma ko Models.
IASTED In e na ional Con e ence on Visualiza ion,
Imaging and Image P ocessing, 512-516.
Phomsoupha, M., & La aye, G. (2014). Shu lecock eloci y
du ing a smash s oke in badmin on e ol es linea ly
wi h skill le el. Compu e Me hods in Biomechanics
and Biomedical Enginee ing, 17(Suppl 1), 140-141.
Phomsoupha, M., & La aye, G. (2015). The science o
badmin on: game cha ac e is ics, an h opome y,
physiology, isual i ness and biomechanics. Spo s
Medicine, 45(4), 473-495.
Phomsoupha, M., & La aye, G. (2020). A mul iple
epea ed sp in abili y es wi h ou changes o
di ec ion o badmin on playe s (pa 2): p edic ing
skill le el wi h an h opome y, s eng h, shu lecock
Reliabili y and alidi y o mo ion senso and ada o measu ing shu lecock eloci y in badmin on
19
and displacemen eloci y. Jou nal o S eng h and
Condi ioning Resea ch, 34(1), 203-211.
Phomsoupha, M., La aye, G., Cohen, C., & Clane , C. (2015).
How o use he elas ici y o a badmin on acke o
inc ease i s speed by 80%? Compu e Me hods in
Biomechanics and Biomedical Enginee ing, 18.
Po ney, L. G., & Wa kins, M. P. (2009). Founda ions o
clinical esea ch: applica ions o p ac ice (Uppe
Sadd). N.J: Pea son/P en ice Hall.
Rambely, A. S., Osman, N. A. A., Usman, J., & Wan Abas, W.
A. B. (2005). The con ibu ion o uppe limb join s in
he de elopmen o acke eloci y in he badmin on
smash. 23 In e na ional Symposium on Biomechanics
in Spo s, 422-426.
Resnick, R. (1968). In oduc ion o Special Rela i i y.
Robinson, G., & Robinson, I. (2016). Rada speed gun
ue eloci y measu emen s o spo s-balls in ligh :
applica ion o ennis. Physica Sc ip a, 91(2), 1-19.
S okes, M. (1985). Reliabili y and epea abili y o me hods
o measu ing muscle in physio he apy. Physio he apy
Theo y and P ac ice, 1(2), 71-76.
S ohmeye , H. S., A ms ong, C., Li insky, Y., Nooney,
R., Moo e, J., & Smi h, K. (2009). In e segmen al
coo dina ion di e ences be ween beginning
pe o me s execu ing a badmin on smash o
accu acy o eloci y. 27 In e na ional Con e ence on
Biomechanics in Spo s.
Takahashi, H., & Kawaha a, T. (2011). Condi ioning in mul i-
suppo p ojec . The Jou nal o Japanese Socie y o
Clinical Spo s Medicine, 19(2), 195.
Tsai, C. L., Chang, S. S., & Huang, C. (2000). Biomechanical
analysis o di e ences in he badmin on smash and
jump smash be ween aiwan eli e and collegia e
playe s. ISBS’98 - P oceedings II, 259-262.
Tsai, C. L., Hsueh, Y. C., Pan, K. M., & Chang, S. S. (2008).
Biomechanical analysis o di e en badmin on
o ehand o e head s okes o Taiwan eli e emal
playe s. 26 In e na ional Symposium on Biomechanics
in Spo s, Con e ence, Coaching and Spo s
Pe o mance, 719-722.
Tsai, C. L., Huang, C., Lin, D. C., Cheng, C. C., & Lai, C. M.
(2000). Biomechanical analysis o he uppe ex emi y
in h ee di e en badmin on o e head s okes. 18 h
In e na ional Symposium on Biomechanics in Spo s,
35-38.
Tsai, C. L., Yang, C. C., Lin, M. S., & Huang, K. S. (2005). The
su ace EMG ac i i y analysis be ween badmin on
smash and jump smash. In e na ional Symposium on
Biomechanics in Spo s, 483-486.
Tsai, C. L., Yang, C. C., Lin, M. S., Huang, K. S., & Chang,
S. S. (2006). The su ace EMG ac i i y o he uppe
limb muscles o badmin on o ehand and backhand
smashes. 24 In e na ional Symposium on Biomechanics
in Spo s, 3-6.
Whi e, H. (1980). A he e oskedas ici y-consis en
co a iance ma ix es ima o and a di ec es o
he e oskedas ici y. Econome ica, 48(4), 817-838.
Yonex. (2013). Nano ay Z speed. h ps://www.yonex.com/
nano ay/# op