Pressure Sensitivity Of Head And Face In Related To The Comfort Study Of Head-related Product

In the field of social production and life,head-related products are widely used in many fields,including medical treatment,military industries,entertainment industries,construction,and daily life,with the number and types of head-related products in use on the rise annually.Human factor engineering research is however crucial for optimizing the design of head-related products and enhancing user experience.For target users,the comfort of head-mounted products is directly related to the user’s wear experience and safety,and plays a crucial role in determining whether they can complete intended tasks safely,effectively and with high quality.In order to fulfill their roles,most head-related products must be in close contact with the appropriate body parts.But excessive contact pressure will result in discomfort,agony,and even injury to soft tissues.Based on a synthesis of multidisciplinary techniques,this paper examines the relation of craniofacial pressure sensitivity to pressure discomfort in head-related items.This research builds a multi-level,multi-regional finite element head and face model capable of performing pressure simulation analysis on 3D product models during the earliest stages of product design.In addition,the study creates a high-precision Chinese head and face pressure discomfort threshold map and a pressure pain threshold map,examining head and face pressure sensitivity from the standpoint of soft tissue thickness and soft tissue deformation.In addition,this paper also proposes an objective pressure discomfort physiological signal measurement method,quantitatively analyzes user experience and takes into account the user’s subjective pressure discomfort/pain threshold and objective physiological information to develop a comprehensive comfort prediction model.Overall,the main innovations of this paper include the following:Firstly,it develops an accurate finite element(FE)stress analysis framework for head-related products targeted at Chinese users.Using craniofacial computed tomography scans of multiple Chinese individuals,the total soft tissue thickness and the thickness of the fat and muscle layers for 41 landmarks were measured.The data were used to construct FE head models(FEH).FE stress testing was then conducted to analyze the wearing of medical goggles using two FE models based on one-layer(FEH 1)and three-layer(FEH 3)soft tissue material parameters.When compared with the experimental results,the modeling results for the FEH 3 model were more realistic than the FEH 1 results.The results also show that it is necessary to use the material parameters corresponding to the different soft tissue structures for accurate FE craniofacial modeling.The produced framework can effectively guide the early stages of product design for head-related products in improving local pressure and three-dimensional morphological adaptation issues.Secondly,this study offers an evaluation of the subjective pressure discomfort and pressure pain thresholds for the head and face.Notably,the researchers collected pressure discomfort threshold(PDT)and pressure pain threshold(PPT)from 119landmarks(unilateral)for 36 Chinese subjects.In addition to producing a high-precision pressure sensitivity map of the Chinese head and face,this study statistically analyzed the data for insights.Moreover,in order to explore the relationship between pressure sensitivity and soft tissue thickness,this paper examined the subjective pressure threshold data and soft tissue thickness data for the head and face,obtaining tissue deformation data under the PDT and PPT states from the literature.The results of the three-elements correlation analysis revealed that soft tissue thickness is positively correlated with deformation but not an important factor in deciding pressure sensitivity.Finally,based on the findings,a high-precision"recommendation map” of the optimal stress-bearing area of the head,face and neck was generated.Thirdly,this study develops automatic classification models by fusing subjective pressure thresholds with objective electrodermal activity(EDA)and electrocardiogram(ECG)data,which can be used for pressure discomfort and pain assessment in the craniofacial region.The researchers collected relevant data using pressure probes and biosensors,and used linear support vector machines to perform classification(discomfort vs.pain).Meanwhile,three models(All data,Female data and Male data)were built to quantify the gender differences in classification performance.In combination with sequential feature selection(SFS)algorithms and leave-one-subject-out cross-validation(LOSO-CV),the study also evaluated the classification performance of different models.The findings demonstrate the feasibility of automated classification algorithms that fuse pressure,EDA and ECG data.It also explored the effect of gender on the classification of discomfort and pain,providing a reference for the direction of optimization of craniofacial pressure discomfort and pain assessment methods.In addition,this paper combines all the previous advancements into a "flow chart for evaluating the pressure discomfort of head-related products" to offer systematic research methods and strategies for reducing the pressure discomfort of head-related products.This method can also be used to investigate the pressure discomfort of other human-contact products.