TY - JOUR
T1 - Archery Skill Assessment Using an Acceleration Sensor
AU - Ogasawara, Takayuki
AU - Fukamachi, Hanako
AU - Aoyagi, Kenryu
AU - Kumano, Shiro
AU - Togo, Hiroyoshi
AU - Oka, Koichiro
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - A key skill in archery is the ability to suppress postural tremor while aiming at a target. Providing feedback during daily archery practice is a potentially effective way of suppressing tremor. However, postural tremor is subtle and difficult to measure using vision-based techniques. This article proposes a feedback method that uses a bow equipped with a small, lightweight acceleration sensor. First, we automatically detect an archer's shooting execution cycle, including the aiming, release, and follow-through phases, by using binary classification, and then, we quantify postural tremor during aiming. Then, from the quantified postural tremor, we regress the expected total score that the archer would obtain in a series of shots during a real game. We performed an experiment with 11 members of a university archery club and achieved 1) a precision of 0.72 and recall of 0.80 in shooting detection and 2) an absolute correlation coefficient of 0.74 in score prediction with leave-one-subject-out cross-validation.
AB - A key skill in archery is the ability to suppress postural tremor while aiming at a target. Providing feedback during daily archery practice is a potentially effective way of suppressing tremor. However, postural tremor is subtle and difficult to measure using vision-based techniques. This article proposes a feedback method that uses a bow equipped with a small, lightweight acceleration sensor. First, we automatically detect an archer's shooting execution cycle, including the aiming, release, and follow-through phases, by using binary classification, and then, we quantify postural tremor during aiming. Then, from the quantified postural tremor, we regress the expected total score that the archer would obtain in a series of shots during a real game. We performed an experiment with 11 members of a university archery club and achieved 1) a precision of 0.72 and recall of 0.80 in shooting detection and 2) an absolute correlation coefficient of 0.74 in score prediction with leave-one-subject-out cross-validation.
KW - Acceleration
KW - event detection
KW - motion analysis
KW - sports equipment
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U2 - 10.1109/THMS.2020.3046435
DO - 10.1109/THMS.2020.3046435
M3 - Article
AN - SCOPUS:85099587562
SN - 2168-2291
VL - 51
SP - 221
EP - 228
JO - IEEE Transactions on Human-Machine Systems
JF - IEEE Transactions on Human-Machine Systems
IS - 3
M1 - 9321369
ER -