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Autonomous Sensor System for Self-Monitoring of Training in Shooting Sport
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing. Automatic Control and Robotics .
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

The factor of precision has always been the mastermind of the shooting sport. With new shooters coming into the field every day and with more aspiring shooters bringing laurels, a help of technology for training can make a difference. When advanced systems like the SCATT, Electronic Target Systems, etc. are marked for the people of the higher background, an easy handle autonomous system for self-monitoring training of precision improvement has always been a question of far reach. This project is about developing an external removable device, which will monitor and evaluate the shooter efficiency of gripping weapon, measure by pressure given at the contact points of the weapon.

In the contact points, such as the trigger, the hand grip, cheek rest, butt plate and the hand rest; we use force sensitive resistors, which are connected to an automatic monitoring system built over an Arduino platform. The system analyses the shots based on the variation in the pressure at each point of contact for every shot. By further analysis and consolidation, the average pressure over a range of shots, an optimal pressure point can be fixed individually for the respective shooter. This pressure points are used as references, by rating them in comparison with the corresponding shot acquired in the target. The system includes a pre-designed training program, which autonomously monitors and trains the shooter to achieve the optimum grip in every shot, thereby increasing the accuracy and precision in a sequence of shots. With time, it helps the body to develop a muscle memory based on controlled training and learn the rhythm of applying optimum pressure to achieve better results.

Place, publisher, year, edition, pages
2017. , p. 50
Keywords [en]
Accuracy, Arduino, autonomous self-monitoring system, butt plate, contact points, cheek rest, strain gauge, hand grip, hand rest, optimum pressure, precision, pressure, score, target, trigger.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-16956OAI: oai:DiVA.org:bth-16956DiVA, id: diva2:1245235
External cooperation
Coimbatore Rifle Club
Subject / course
ET2566 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Signal processing
Educational program
Double Diploma program
Presentation
2017-09-14, J1610, Blekinge Tekniska Högskola, 371 79, Karlskrona, 18:37 (English)
Supervisors
Examiners
Note

Noted the puBlication content is patented.

Available from: 2018-09-05 Created: 2018-09-04 Last updated: 2018-09-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other locale
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Output format
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