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Archery Skill Assessment Using an Acceleration Sensor

delete2021-06-01
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PRE
AI
T
Takayuki Ogasawara *
H
Hanako Fukamachi
K
Kenryu Aoyagi
S
Shiro Kumano
H
Hiroyoshi Togo
O
Oka, Koichiro
DOI:10.1109/THMS.2020.3046435delete
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摘要

摘要

En 中文
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.
Keyword:
Acceleration
Detectors
Sports
Inertial sensors
Correlation
Videos
Particle measurements
Acceleration
event detection
motion analysis
sports equipment
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期刊

IEEE Transactions on Human-Machine Systems 封面图
IEEE Transactions on Human-Machine Systems
IF:
4.4
论文数:
1.1K
被引数:
3.5K

机构

W
Waseda University
学者数:
1.0W
论文数: 8.7K
被引数: 8.3K
Kanto Gakuin University 封面图
Kanto Gakuin University
学者数:
262
论文数: 220
被引数: 109
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