Development of a distributed representative human model generation and analysis system for multiple-size product design

22kc

A Method for Generation of a Sizing System and Representative Models for a Facial Mask Design

A sizing system and representative face models (RFMs) need to be properly determined for the design of a facial mask. The present study proposed a novel approach for the generation of a sizing system and RFMs for a facial mask that considers not only the accommodation of the target population but also its applicability in practice (e.g., ease of use and economic efficiency). A custom sizing system with four unique sizing categories was generated by applying the proposed approach for a pilot oxygen mask for Korean pilots. Then, out of 336 faces, a face showing the minimum value of weighted sum of Euclidean distance (WSED) was identified as the RFM of each of the four sizing categories. The proposed approach can be applied to the development of a sizing system and the identification of representative human models for the design of wearable products associated with multiple body dimensions.11Ysciescopu

Automated system for evaluating consistency between CAD model and 3D scan of vehicle seat

Reducing the number of design changes in vehicle seat development is critical for minimizing both production cost and product lead time. Generally, discrepancies in measured dimensional specifications of vehicle-seat prototypes and computer-aided design (CAD) models cause significant quality control issues of the finished products. Although three-dimensional (3D) scanning technology enables the efficient evaluations and inspection processes of vehicle-seat prototypes, many evaluation processes require time-consuming tasks. This paper proposes an automated system for evaluating a geometrical consistency between a 3D scan of a prototype and the original CAD model. In the current study, the existing evaluation processes conducted by seat engineers were examined by survey questionnaires. The survey responses were analyzed to define a standardized evaluation process for the automated system. Various computational algorithms, including a function-based scan-to-CAD registration, standard seat dimension estimation, and template-based reporting algorithms, were developed to evaluate the scan and CAD consistency automatically. The developed system not only reduced over 99 % of the evaluation time (on average, existing method: > 2 hrs per seat and system method: 2 hrs per seat and system method: < 5 min per seat) but also increased the repeatability of evaluations. Furthermore, the system can collect dimensions of diverse seat designs, prototypes, and products to construct a database of seat dimensions for benchmarking and design improvement

포괄적 비즈니스 모델 프레임워크 구축 및 적용: 헬스케어 비즈니스 모델을 중심으로

22kc

A Boundary Zone Method for the Generation of Multivariate Representative Humanoids

The present study developed a novel multivariate representative humanoid (RH) generation method called the boundary zone method (BZM), which consists of (1) the formation of a boundary zone (BZ) for a designated accommodation percentage (kappa), (2) the clustering of anthropometric cases in the BZ, and (3) the selection of representative cases from the clusters. By using 1988 U.S. Army anthropometric data for kappa = 90% and 10 anthropometric dimensions, the BZM was compared to existing methods, including the square method (SM), the rectangular method (RM), and the circular method (CM) in terms of multivariate accommodation percentage (MAP), outlier percentage, and normalized outlier magnitude. The MAP analysis showed that only the BZM could form a group of RHs that precisely satisfied the designated kappa, whereas the RM formed over-accommodating RH groups and both the SM and CM formed under-accommodating RH groups. The outlier analysis identified that only the BZM generated relevant RHs within the body size ranges of the target population.11Ysciescopu

Usability evaluation of graphic user interfaces for a military computer-based training system

22kc

Monitoring driver stress during highway driving using wearable bio-signal sensors

Various functions for improving automobile seat comfort have been developed to reduce driver stress. However, how drivers respond to the seat comfort functions in real driving has not yet been studied. This experiment evaluated the effect of a seat air-conditioning system (ACS) on driver stress by tracking changes in various bio-signals during 60-min highway driving. Heart rate, heart rate variability, skin conductance, and respiration rates were quantified using non-invasive sensors from 13 drivers while varying the seat ACS condition in hot weather. Study results show that the high-frequency power of the heart rate variability, mean skin conductance level, and mean respiration rate detected the changes in the seat ACS over 60%, implying the possibility of seat comfort monitoring using the bio-signals. Further research should be conducted with various environmental or driver conditions to improve detection performance

A characteristic analysis of ergonomic console layout studies using optimization techniques

22kc

Quantitative Assessment Method of Force Tracking Capabilities for Detection of Motor Intentional Disorders

Early detection of motor intentional disorders associated with dysfunction in the action-intention system of the brain is clinically important to provide timely intervention. This study developed a force tracking system that can record forces exerted by the index finger while tracking 5 N, 10 N, 15 N, and 20 N of target forces varying over time. The force tracking system quantified force control measures (initiation time IT; development time, DT, maintenance error, ME; termination time, TT; tracking error, TE) for the individual and overall force control phases. This study evaluated the effectiveness of the force tracking system for a normal control group (n = 12) and two patient groups diagnosed with subcortical vascular mild cognitive impairment (svMCI, n = 11) and subcortical vascular dementia (SVaD, n = 13). Patients with SVaD showed significantly worse force control capabilities in IT (0.84 s) and ME (1.71 N) than those with svMCI (0.64 s in IT, and 1.38 N in ME). Patients with svMCI had significantly worse capabilities in IT, ME, and TE (3.80 N) than the control group (0.49 s in IT, 0.78 N in ME, and 3.07 N in TE). The prevalence rates of force control capabilities lower than the 99% confidence interval of the control group ranged from 17% to 62% for the two patient groups. The force tracking system can sensitively quantify the severity of the force control deficiencies caused by dysfunction in the action-intention system of the brain.11Ysciescopu