Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Electric camera sensor vs. virtual reality archery: Which is more effective for improving archery accuracy?

View through CrossRef
Background: The integration of technology into archery training has gained attention, yet limited studies have compared the effectiveness of electric camera sensors and virtual reality (VR) systems in enhancing archery accuracy. The lack of clear data regarding how each method impacts arrow speed and accuracy necessitates further investigation. Research Objectives: This study aims to compare the effectiveness of two training approaches—electric camera sensor-based training and VR archery—in improving arrow accuracy and speed, and to evaluate their implications for bow performance and technique assessment. Methods: A quantitative experimental design with a two-group pretest-posttest approach was employed. The study involved 20 male archers aged 15-20 years, selected via purposive sampling. Participants underwent 18 training sessions using a fixed shooting distance of 40 meters. Data were collected on arrow accuracy and analyzed using paired and independent t-tests. Finding/Results: The study found that both training methods significantly improved archery accuracy. However, athletes who trained using the electric camera sensor showed slightly greater improvements than those using virtual reality. The sensor-based training provided more precise feedback on arrow speed and trajectory, which enhanced technique evaluation and led to better shooting outcomes. These results highlight the sensor’s potential as a more effective tool for refining archery performance. Conclusion: Fixed-distance training using an electric camera sensor system is more effective than virtual reality archery in enhancing archery accuracy. The integration of arrow speed motion sensors facilitates more precise evaluations of bow technique and performance, particularly when inconsistencies in arrow trajectory occur. It is recommended for archers seeking improvements in accuracy to incorporate electric camera sensor technology into their training.
Title: Electric camera sensor vs. virtual reality archery: Which is more effective for improving archery accuracy?
Description:
Background: The integration of technology into archery training has gained attention, yet limited studies have compared the effectiveness of electric camera sensors and virtual reality (VR) systems in enhancing archery accuracy.
The lack of clear data regarding how each method impacts arrow speed and accuracy necessitates further investigation.
Research Objectives: This study aims to compare the effectiveness of two training approaches—electric camera sensor-based training and VR archery—in improving arrow accuracy and speed, and to evaluate their implications for bow performance and technique assessment.
Methods: A quantitative experimental design with a two-group pretest-posttest approach was employed.
The study involved 20 male archers aged 15-20 years, selected via purposive sampling.
Participants underwent 18 training sessions using a fixed shooting distance of 40 meters.
Data were collected on arrow accuracy and analyzed using paired and independent t-tests.
Finding/Results: The study found that both training methods significantly improved archery accuracy.
However, athletes who trained using the electric camera sensor showed slightly greater improvements than those using virtual reality.
The sensor-based training provided more precise feedback on arrow speed and trajectory, which enhanced technique evaluation and led to better shooting outcomes.
These results highlight the sensor’s potential as a more effective tool for refining archery performance.
Conclusion: Fixed-distance training using an electric camera sensor system is more effective than virtual reality archery in enhancing archery accuracy.
The integration of arrow speed motion sensors facilitates more precise evaluations of bow technique and performance, particularly when inconsistencies in arrow trajectory occur.
It is recommended for archers seeking improvements in accuracy to incorporate electric camera sensor technology into their training.

Related Results

Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Marketing Public Relations Strategy, Indonesian Archery Association (PERPANI) in Developing Archery Among Youth
Marketing Public Relations Strategy, Indonesian Archery Association (PERPANI) in Developing Archery Among Youth
Indonesian Archery Association (PERPANI) is the national organization of the sport of archery. Archery is an Olympic sport that should be competed in every Olympic Games. Indonesia...
Archery sport class management using demonstration methods to improve results learn beginner archery skills
Archery sport class management using demonstration methods to improve results learn beginner archery skills
Introduction. This research examines archery sports class management implementation using the demonstration method (10 steps of basic archery techniques) in archery courses in the ...
Angular kinematics analysis of the Final Release position of elite Archers
Angular kinematics analysis of the Final Release position of elite Archers
The purpose of the study was Angular kinematics analysis of an Elite archers. In present study total sample five Indian International level male Recurve category Archers was select...
VR 101
VR 101
Today we call many things “virtual.” Virtual corporations connect teams of workers located across the country. In leisure time, people form clubs based on shared interests in polit...
Hubungan antara Kekuatan Otot Lengan dengan Akurasi Memanah dalam Olahraga Panahan
Hubungan antara Kekuatan Otot Lengan dengan Akurasi Memanah dalam Olahraga Panahan
Archery has a goal: to release an arrow to the center point of the intended target and master perfect archery techniques that will produce complex and beautiful movements. In addit...
Machine learning techniques for forensic camera model identification and anti-forensic attacks
Machine learning techniques for forensic camera model identification and anti-forensic attacks
The goal of camera model identification is to determine the manufacturer and model of an image's source camera. Camera model identification is an important task in multimedia foren...

Back to Top