Campus Units
Industrial and Manufacturing Systems Engineering
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
12-2017
Journal or Book Title
Augmented Human Research
Volume
2
Issue
1
Research Focus Area(s)
Ergonomics and Human Factors
DOI
10.1007/s41133-017-0004-4
Abstract
The Armed Robotic Control for Training in Civilian Law Enforcement, or ARCTiC LawE, is an upper-body exoskeleton designed to assist civilian, military, and law enforcement personnel in accurate, precise, and reliable handgun techniques. This exoskeleton training utilizes a laser-based handgun with similar dimensions, trigger pull, and break action to a Glock® 19 pistol, common to both public and private security sectors. The paper aims to train and test subjects with no handgun training/experience both with and without the ARCTiC LawE and compare the results of accuracy, precision, and speed. Ultimately, the exoskeleton greatly impacts sensory motor learning, and the biomechanical implications are confirmed via both performance and physiological measurements. The researchers believe the ARCTiC LawE is a viable substitute for training with live-fire handguns in order to reduce the cost of training time and munitions. They also believe the ARCTiC LawE will increase accuracy and precision for typical law enforcement and military live-fire drills. Additionally, this paper increases the breadth of knowledge for exoskeletons as a tool for training.
Copyright Owner
Springer SBM Singapore Private Ltd.
Copyright Date
2017
Language
en
File Format
application/pdf
Recommended Citation
Schnieders, Thomas M.; Stone, Richard T.; Oviatt, Tyler; and Danford-Klein, Eric, "ARCTiC LawE: An Upper-Body Exoskeleton for Firearm Training" (2017). Industrial and Manufacturing Systems Engineering Publications. 175.
https://lib.dr.iastate.edu/imse_pubs/175
Comments
This is a manuscript of an article published as Schnieders, Thomas M., Richard T. Stone, Tyler Oviatt, and Erik Danford-Klein. "ARCTiC LawE: An Upper-Body Exoskeleton for Firearm Training." Augmented Human Research 2, no. 1 (2017). The final publication is available at Springer via DOI: 10.1007/s41133-017-0004-4. Posted with permission.