Archery Skill Assessment Using an Acceleration Sensor

• Published in: IEEE transactions on human-machine systems Vol. 51; no. 3; pp. 221 - 228
• Main Authors: Ogasawara, Takayuki, Fukamachi, Hanako, Aoyagi, Kenryu, Kumano, Shiro, Togo, Hiroyoshi, Oka, Koichiro
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Archery; Correlation; Correlation coefficients; Detectors; event detection; Feedback; Inertial sensors; motion analysis; Particle measurements; Posture; Sports; sports equipment; Tremors; Videos
• ISSN: 2168-2291; 2168-2305
• DOI: 10.1109/THMS.2020.3046435

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.