Hee-Eun Choi * and Jung-Il Jun
The clothing development goes through an iterative design process from preliminary investigation to the final product, following the mission motion protocol, every time an intermediate evaluation of a sample is conducted, it may be seen as a waste of time and materials. In particular, it is impossible to completely reproduce the internal and external environments of a tracked vehicle in order to evaluate the military uniforms of the tracked vehicle crew, and evaluation is limited due to the nature of military security.
Therefore, we developed an estimation formula that can evaluate the motion suitability during clothing development may shorten the time necessary for the clothing development process and improve the efficiency of development. The development process is as follows.
Collecting Data for Developing an Estimation Formula
We conducted motion suitability evaluation on 27 tracked vehicle crew members on active duty under K1 to collect data for developing an estimation formula. For verification, 10 crews who participated in the same experiment performed additional experiments in the same way.
Mission motions used to evaluate motion suitability were based on the mission motion protocol for a tracked vehicle crew, which was developed through a focused group inter-view (FGI) with 16 crews (seven commanders, three gunners, four drivers, and two loaders).
Performance Test Protocol For Tracked vehichle crew
Data Analysis for Developing an Estimation Formula
Correlation and factor analyses of mission motions were conducted to identify correlations in mission motions and to extract the main mission motions. A correlation analysis between general motion and mission motion was also performed to select the independent variables used in the estimation formula. A multiple regression analysis was used to develop an estimation formula for motion suitability evaluation based on the correlation between general motion factors, which could be used instead of the mission motion suitability evaluation. After eliminating multi-collinearity among driving I, driving II, escaping, seating activity, getting off, and maintenance, the factor analysis was repeated, and a total of two factors were identified. Kaiser¬–Meyer–Olkin (KMO) was 0.580, Bartlett was at the p < 0.001 level, and the cumulative contribution of total common factor variance was 95.01%.
Table 1. Factor analysis results of main mission motions of a tracked vehicle crew. (n = 27).
Development of Motion Suitability Evaluation Estimation Formula for Mission Motion
The equations for estimating the mission motion suitability of the tracked vehicle crew based on general motion are listed in Table 2 below.
Table 2. Estimation formula of main mission motion suitability (n = 27).
Review of the Applicability of the Estimation Formula
To confirm the validity of the developed estimation formula, we compared the results of the developed estimation formula when applied to a tracked vehicle jacket and a military winter jacket, which are mainly worn inside tracked vehicles, and the real evaluation score for the mission motion. There is no significant difference between the result of the developed equation and the real score at the level of p < 0.05; therefore, the estimation formula is proved to be valid.
To verify the reliability of the repeated measurement of the estimation formula, the motion suitability results for the tracked vehicle crew jackets were applied to 10 soldiers who participated in the same experiment, and the results were compared. There was no significant difference between the values calculated from the real evaluation scores evaluated in the first and second tests at the level of p < 0.05; therefore, the repeated measurement of the estimation formula is reliable.
In conclusion, the estimation formula for mission motion suitability using general motion is beneficial for enhancing the effectiveness of the evaluation of military jackets for tracked vehicle crews.
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