The performance during four stationary knife attacks: Implications for tactical training
With over 72,000 offenses between 2010 and 2020 in the USA, knives were the third most commonly used weapon in all violent crimes between behind personal weapons and handguns.PurposeExamine the performance of different stab (Thrust and overhead) and slash (Figure 8 and Reverse) knife motions to dete...
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description | With over 72,000 offenses between 2010 and 2020 in the USA, knives were the third most commonly used weapon in all violent crimes between behind personal weapons and handguns.PurposeExamine the performance of different stab (Thrust and overhead) and slash (Figure 8 and Reverse) knife motions to determine how long it takes to execute each motion. In addition, examine the variability in executing each motion to inform future self-defense strategies.MethodsTwenty subjects (Females, n = 4; Males, n = 16; Height: 179.96 ± 8.66 cm; Weight: 94.99 ± 22.37 kg; Age: 36.95 ± 10.63 years) who were all active-duty law enforcement officers (LEOs) with 13.52 ± 11.23 years of LEO experience were recruited to participate in the study. Each subject completed two trials of the knife motions while wearing wearable motion sensors (ADPM) and recorded with a high-speed camera (GoPro) while using a training knife (Cold Steel).ResultsThe time to complete the motions were: Thrust, 0.61 ± 0.15 s; Overhead, 0.68 ± 0.14 s; Figure 8, 1.07 ± 0.21 s; and Reverse, 0.62 ± 0.11 s. The Figure 8 motion was significantly slower than the other three motions: F (3, 57) = 101.19, p < 0.001, ηp2 = 0.84. The reliability analysis reported trivial variability and a high level of agreement: Thrust, ICCα = 0.701, SEM = 0.09 s, CV% = 15.02; Overhead, ICCα = 0.878, SEM = 0.05 s, CV% = 6.93; Figure 8, ICCα = 0.906, SEM = 0.07 s, CV% = 6.25, Reverse, ICCα = 0.420, SEM = 0.10 s, CV% = 17.31.DiscussionMost LEOs or civilians within striking distance of someone with a knife may not be able to avoid contact from the knife attacks based on the speed knife attacks could occur.ConclusionThe reference data provides pertinent information to update evidence-based training approaches to knife attack preparation and defense. |
doi_str_mv | 10.1016/j.forsciint.2022.111371 |
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In addition, examine the variability in executing each motion to inform future self-defense strategies.MethodsTwenty subjects (Females, n = 4; Males, n = 16; Height: 179.96 ± 8.66 cm; Weight: 94.99 ± 22.37 kg; Age: 36.95 ± 10.63 years) who were all active-duty law enforcement officers (LEOs) with 13.52 ± 11.23 years of LEO experience were recruited to participate in the study. Each subject completed two trials of the knife motions while wearing wearable motion sensors (ADPM) and recorded with a high-speed camera (GoPro) while using a training knife (Cold Steel).ResultsThe time to complete the motions were: Thrust, 0.61 ± 0.15 s; Overhead, 0.68 ± 0.14 s; Figure 8, 1.07 ± 0.21 s; and Reverse, 0.62 ± 0.11 s. The Figure 8 motion was significantly slower than the other three motions: F (3, 57) = 101.19, p < 0.001, ηp2 = 0.84. The reliability analysis reported trivial variability and a high level of agreement: Thrust, ICCα = 0.701, SEM = 0.09 s, CV% = 15.02; Overhead, ICCα = 0.878, SEM = 0.05 s, CV% = 6.93; Figure 8, ICCα = 0.906, SEM = 0.07 s, CV% = 6.25, Reverse, ICCα = 0.420, SEM = 0.10 s, CV% = 17.31.DiscussionMost LEOs or civilians within striking distance of someone with a knife may not be able to avoid contact from the knife attacks based on the speed knife attacks could occur.ConclusionThe reference data provides pertinent information to update evidence-based training approaches to knife attack preparation and defense.</description><identifier>ISSN: 0379-0738</identifier><identifier>EISSN: 1872-6283</identifier><identifier>DOI: 10.1016/j.forsciint.2022.111371</identifier><language>eng</language><publisher>Amsterdam: Elsevier Limited</publisher><subject>Camcorders ; Cameras ; Cutlery ; Forensic sciences ; High speed cameras ; Knives ; Motion capture ; Motion sensors ; Reliability analysis ; Self defense ; Sensors ; Statistical analysis ; Thrust ; Training ; Weapons</subject><ispartof>Forensic science international, 2022-08, Vol.337, p.111371-111371, Article 111371</ispartof><rights>2022. Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c318t-8cb0fbf53a09673e8f8427905dd9803b03a93c3a287583c16e0666e58e4d2eeb3</citedby><cites>FETCH-LOGICAL-c318t-8cb0fbf53a09673e8f8427905dd9803b03a93c3a287583c16e0666e58e4d2eeb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2692064553?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,64387,64389,64391,72471</link.rule.ids></links><search><creatorcontrib>Kantor, Michael</creatorcontrib><creatorcontrib>Lewinski, William J.</creatorcontrib><creatorcontrib>Reiner, Susannah</creatorcontrib><creatorcontrib>Pettitt, Robert</creatorcontrib><title>The performance during four stationary knife attacks: Implications for tactical training</title><title>Forensic science international</title><description>With over 72,000 offenses between 2010 and 2020 in the USA, knives were the third most commonly used weapon in all violent crimes between behind personal weapons and handguns.PurposeExamine the performance of different stab (Thrust and overhead) and slash (Figure 8 and Reverse) knife motions to determine how long it takes to execute each motion. In addition, examine the variability in executing each motion to inform future self-defense strategies.MethodsTwenty subjects (Females, n = 4; Males, n = 16; Height: 179.96 ± 8.66 cm; Weight: 94.99 ± 22.37 kg; Age: 36.95 ± 10.63 years) who were all active-duty law enforcement officers (LEOs) with 13.52 ± 11.23 years of LEO experience were recruited to participate in the study. Each subject completed two trials of the knife motions while wearing wearable motion sensors (ADPM) and recorded with a high-speed camera (GoPro) while using a training knife (Cold Steel).ResultsThe time to complete the motions were: Thrust, 0.61 ± 0.15 s; Overhead, 0.68 ± 0.14 s; Figure 8, 1.07 ± 0.21 s; and Reverse, 0.62 ± 0.11 s. The Figure 8 motion was significantly slower than the other three motions: F (3, 57) = 101.19, p < 0.001, ηp2 = 0.84. The reliability analysis reported trivial variability and a high level of agreement: Thrust, ICCα = 0.701, SEM = 0.09 s, CV% = 15.02; Overhead, ICCα = 0.878, SEM = 0.05 s, CV% = 6.93; Figure 8, ICCα = 0.906, SEM = 0.07 s, CV% = 6.25, Reverse, ICCα = 0.420, SEM = 0.10 s, CV% = 17.31.DiscussionMost LEOs or civilians within striking distance of someone with a knife may not be able to avoid contact from the knife attacks based on the speed knife attacks could occur.ConclusionThe reference data provides pertinent information to update evidence-based training approaches to knife attack preparation and defense.</description><subject>Camcorders</subject><subject>Cameras</subject><subject>Cutlery</subject><subject>Forensic sciences</subject><subject>High speed cameras</subject><subject>Knives</subject><subject>Motion capture</subject><subject>Motion sensors</subject><subject>Reliability analysis</subject><subject>Self defense</subject><subject>Sensors</subject><subject>Statistical analysis</subject><subject>Thrust</subject><subject>Training</subject><subject>Weapons</subject><issn>0379-0738</issn><issn>1872-6283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkMlKBDEQhoMoOI4-gwEvXrrNMlnamwwuAwNeRvAW0ulE09ObSfrg2xsd8eCpoOqrn6oPgEuMSowwv2lLN4ZovB9SSRAhJcaYCnwEFlgKUnAi6TFYICqqAgkqT8FZjC1CiDHCF-B1927hZEPO6PVgLGzm4Ic36MY5wJh08uOgwyfcD95ZqFPSZh9v4aafOm9-pjGzAeZ-yo0OpqD9kBPOwYnTXbQXv3UJXh7ud-unYvv8uFnfbQtDsUyFNDVytWNUo4oLaqWTKyIqxJqmkojWiOqKGqqJFExSg7lFnHPLpF01xNqaLsH1IXcK48dsY1K9j8Z2nR7sOEdFuBQibxOR0at_aJu_HPJ1maoI4ivGaKbEgTJhjDFYp6bg--xAYaS-jatW_RlX38bVwTj9AjmJeBE</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Kantor, Michael</creator><creator>Lewinski, William J.</creator><creator>Reiner, Susannah</creator><creator>Pettitt, Robert</creator><general>Elsevier Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20220801</creationdate><title>The performance during four stationary knife attacks: Implications for tactical training</title><author>Kantor, Michael ; Lewinski, William J. ; Reiner, Susannah ; Pettitt, Robert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-8cb0fbf53a09673e8f8427905dd9803b03a93c3a287583c16e0666e58e4d2eeb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Camcorders</topic><topic>Cameras</topic><topic>Cutlery</topic><topic>Forensic sciences</topic><topic>High speed cameras</topic><topic>Knives</topic><topic>Motion capture</topic><topic>Motion sensors</topic><topic>Reliability analysis</topic><topic>Self defense</topic><topic>Sensors</topic><topic>Statistical analysis</topic><topic>Thrust</topic><topic>Training</topic><topic>Weapons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kantor, Michael</creatorcontrib><creatorcontrib>Lewinski, William J.</creatorcontrib><creatorcontrib>Reiner, Susannah</creatorcontrib><creatorcontrib>Pettitt, Robert</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Forensic science international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kantor, Michael</au><au>Lewinski, William J.</au><au>Reiner, Susannah</au><au>Pettitt, Robert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The performance during four stationary knife attacks: Implications for tactical training</atitle><jtitle>Forensic science international</jtitle><date>2022-08-01</date><risdate>2022</risdate><volume>337</volume><spage>111371</spage><epage>111371</epage><pages>111371-111371</pages><artnum>111371</artnum><issn>0379-0738</issn><eissn>1872-6283</eissn><abstract>With over 72,000 offenses between 2010 and 2020 in the USA, knives were the third most commonly used weapon in all violent crimes between behind personal weapons and handguns.PurposeExamine the performance of different stab (Thrust and overhead) and slash (Figure 8 and Reverse) knife motions to determine how long it takes to execute each motion. In addition, examine the variability in executing each motion to inform future self-defense strategies.MethodsTwenty subjects (Females, n = 4; Males, n = 16; Height: 179.96 ± 8.66 cm; Weight: 94.99 ± 22.37 kg; Age: 36.95 ± 10.63 years) who were all active-duty law enforcement officers (LEOs) with 13.52 ± 11.23 years of LEO experience were recruited to participate in the study. Each subject completed two trials of the knife motions while wearing wearable motion sensors (ADPM) and recorded with a high-speed camera (GoPro) while using a training knife (Cold Steel).ResultsThe time to complete the motions were: Thrust, 0.61 ± 0.15 s; Overhead, 0.68 ± 0.14 s; Figure 8, 1.07 ± 0.21 s; and Reverse, 0.62 ± 0.11 s. The Figure 8 motion was significantly slower than the other three motions: F (3, 57) = 101.19, p < 0.001, ηp2 = 0.84. The reliability analysis reported trivial variability and a high level of agreement: Thrust, ICCα = 0.701, SEM = 0.09 s, CV% = 15.02; Overhead, ICCα = 0.878, SEM = 0.05 s, CV% = 6.93; Figure 8, ICCα = 0.906, SEM = 0.07 s, CV% = 6.25, Reverse, ICCα = 0.420, SEM = 0.10 s, CV% = 17.31.DiscussionMost LEOs or civilians within striking distance of someone with a knife may not be able to avoid contact from the knife attacks based on the speed knife attacks could occur.ConclusionThe reference data provides pertinent information to update evidence-based training approaches to knife attack preparation and defense.</abstract><cop>Amsterdam</cop><pub>Elsevier Limited</pub><doi>10.1016/j.forsciint.2022.111371</doi><tpages>1</tpages></addata></record> |
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subjects | Camcorders Cameras Cutlery Forensic sciences High speed cameras Knives Motion capture Motion sensors Reliability analysis Self defense Sensors Statistical analysis Thrust Training Weapons |
title | The performance during four stationary knife attacks: Implications for tactical training |
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