Tina C. Liu, R. Bhatt, K. Farrell, Stephen Seung-Yeob Baek, Yuk Ming Liu, K. Abdel-Malek, J. Arora
{"title":"A quantitative assessment of variations in the palm surface area as a percentage of total body surface area within the general population","authors":"Tina C. Liu, R. Bhatt, K. Farrell, Stephen Seung-Yeob Baek, Yuk Ming Liu, K. Abdel-Malek, J. Arora","doi":"10.1504/IJHFMS.2018.10012513","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10012513","url":null,"abstract":"Healthcare professionals who treat burn patients determine fluid requirements for resuscitation based on an estimation of burned body surface area (BBSA) as a percentage of total body surface area (TBSA). Hence, it is important to get an accurate assessment of these values. An overestimation or underestimation of the BBSA percentage can lead to medical complications, negatively affecting a patient's quality of care. Conventional methods to estimate the BBSA percentage include segmenting the three dimensional body surface into a two-dimensional burn chart or estimating the area relative to the palm of the hand with the assumption that the palm represents 1% of the TBSA. These methods introduce inaccuracies due to unreliable assumptions and estimations. For example, methods that rely on a burn chart overgeneralise that the body type of a patient to fit the established body sections in the chart, and methods that use the palm of the hand rely on incorrect assumptions regarding the palm surface area. This paper demonstrates specifically that the assumption that a patient's palm can be estimated as 1% of the TBSA is not reliable. In addition, it summarises, evaluates, and quantifies these inaccuracies, and compares and contrasts the variations for different genders.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114196570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Rasmussen, R. Waagepetersen, Kasper Pihl Rasmussen
{"title":"Projection of Anthropometric Correlation for Virtual Population Modelling","authors":"J. Rasmussen, R. Waagepetersen, Kasper Pihl Rasmussen","doi":"10.1504/IJHFMS.2018.091353","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.091353","url":null,"abstract":"A new statistical method for generation of virtual populations based on anthropometric parameters is developed. The method addresses the problem that most anthropometric information is reported in terms of summary data such as means and standard deviations only, while the underlying raw data, and therefore the correlations between parameters, are not accessible. This problem is solved by projecting correlation from a data set for which raw data are provided. The method is tested and validated by generation of pseudo females from males in the ANSUR anthropometric dataset. Results show that the statistical congruency of the pseudo population with an actual female population is more than 90% for more than 90% of the possible parameter pairs. The method represents a new opportunity to generate virtual populations for specific geographic regions and ethnicities based on summary data only.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121970817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Human-in-the-loop: application of the double exponential probability distribution function enables one to quantify the role of the human factor","authors":"E. Suhir","doi":"10.1504/IJHFMS.2017.10008109","DOIUrl":"https://doi.org/10.1504/IJHFMS.2017.10008109","url":null,"abstract":"The probabilistic predictive modelling approach in human-in-the-loop related aerospace problems enables one to predict, quantify, assure and even specify the probability of the favourable outcome of an aerospace mission or a situation, when the performance of the never perfect human, never 100%-reliable instrumentation (equipment), never absolutely predictable response of the object of control (aero- or space-craft), uncertain and often harsh environment, as well as the interaction (interfaces) of the above uncertainties, contribute jointly to the likelihood of such an outcome. As to the human factor, it includes two major aspects: human performance (error) and his/her state of health. While the reliability of the navigation instrumentation (equipment) could be evaluated using suitable and more or less well established modelling means, the role of the human factor, when quantification of the human role is critical, could be considered by using the double-exponential-probability-distribution-function (DEPDF).","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129444922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Degrees of freedom coupling adapted to the upper limb of a digital human model","authors":"P. Lemieux, A. Barré, N. Hagemeister, R. Aissaoui","doi":"10.1504/IJHFMS.2017.087015","DOIUrl":"https://doi.org/10.1504/IJHFMS.2017.087015","url":null,"abstract":"The upper limbs of digital human models have many degrees of freedom. Moreover, their range of motion tends to be overestimated. In some conditions, the resulting kinematic chain may predict unrealistic postures. Many kinematic correlations or 'couplings' have been measured at the upper limb (ex. shoulder rhythm, sinus cone limits). So far, a few of them were adapted to digital human models. These models often use a simplified 'claviscapular' segment, which simplifies the shoulder girdle, (i.e., clavicle and scapula) as a single segment. This paper presents the development of a set of upper limb degree of freedom couplings for digital human models, adapted from experimental kinematic data that comes from different published studies. It is shown how these couplings improve the upper limb model by reducing its overestimated ranges of motion and reachable workspace and by improving its kinematic behaviour. The use of experimental data from a single group of subjects is the next step towards a more homogeneous upper limb coupling model.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121505183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Usability of Corrected Kinect Measurement for Ergonomic Evaluation in Constrained Environment","authors":"Pierre Plantard, Hubert P. H. Shum, F. Multon","doi":"10.1504/IJHFMS.2017.087018","DOIUrl":"https://doi.org/10.1504/IJHFMS.2017.087018","url":null,"abstract":"Evaluation of potential risks of musculoskeletal disorders in real workstations is challenging as the environment is cluttered, which makes it difficult to correctly assess the pose of a worker. Being marker-free and calibration-free, Microsoft Kinect is a promising device to assess these poses, but it can deliver unreliable poses especially when occlusions occur. To overcome this problem, we propose to detect and correct badly recognised body parts thanks to a database of example poses. We applied the proposed method to compute rapid upper limb assessment (RULA) score in a realistic environment that involved sub-optimal Kinect placement and several types of occlusions. Results showed that when occlusions occur, the inaccurate raw Kinect data could be significantly improved using our correction method, leading to acceptable joint angles and RULA scores. Our method opens new perspectives to define new fatigue or solicitation indexes based on continuous measurement contrary to classical static images used in ergonomics.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126352527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adrien Desbois, I. Perreault, G. Chartrand, T. Cresson, Sylvie Gervais, J. Guise
{"title":"Toward a quantified assessment of total body surface area from anthropometric measurements for patients with burn injuries","authors":"Adrien Desbois, I. Perreault, G. Chartrand, T. Cresson, Sylvie Gervais, J. Guise","doi":"10.1504/IJHFMS.2017.10008128","DOIUrl":"https://doi.org/10.1504/IJHFMS.2017.10008128","url":null,"abstract":"The amount of replacement fluid a burn patient requires to survive depends on the ratio (RBSA) of burned body surface area to the total body surface area (TBSA). The 2D methods used by clinicians are imprecise. In this paper, preliminary result of a proposed approach using anthropometric measurements and MakeHuman (MH) software to evaluate RBSA is presented. To assess RBSA accurately with a personalised 3D model of the burn patient, a first critical step is to find a limited set of measures for TBSA assessment. 20 anthropometric measurements were acquired virtually on 40 3D models generated with MH software. Using several multiple regression analyses, it was demonstrated that four to seven measures are sufficient to obtain an accurate TBSA. These preliminary results highlight the relevance of using software such as MH, to assess TBSA of patients with major burn injuries based on a limited set of measures.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive regression model for prediction of anthropometric data","authors":"E. Brolin, D. Högberg, L. Hanson, R. Örtengren","doi":"10.1504/IJHFMS.2017.10008080","DOIUrl":"https://doi.org/10.1504/IJHFMS.2017.10008080","url":null,"abstract":"This paper presents and evaluates an adaptive linear regression model for the prediction of unknown anthropometric data based on a flexible set of known predictive data. The method is based on conditional regression and includes use of principal component analysis to reduce effects of multicollinearity between the predictive variables. Results from the study show that the proposed adaptive regression model produces more accurate predictions compared to a flat regression model based on stature and weight, and also compared to a hierarchical regression model, that uses geometric and statistical relationships between body measurements to create specific linear regression equations in a hierarchical structure. An additional evaluation shows that the accuracy of the adaptive regression model increases logarithmically with the sample size. Apart from the sample size, the accuracy of the regression model is affected by the number of, and on which measurements that are, variables in the predictive dataset.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114461195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Felix von Drigalski, A. Ikeda, T. Ogasawara, T. Asfour
{"title":"A measurement setup for the 3D validation of fingertip deformation models","authors":"Felix von Drigalski, A. Ikeda, T. Ogasawara, T. Asfour","doi":"10.1504/IJHFMS.2016.10000545","DOIUrl":"https://doi.org/10.1504/IJHFMS.2016.10000545","url":null,"abstract":"Deformable models of the human fingertip are commonly validated by evaluating a finger's silhouette when charged with a line load. To validate models, it would be desirable to measure 3D data of the fingertip at a high frequency. This paper proposes the use of a stereo camera setup to measure the 3D surface of the fingertip's side. The setup offers a theoretical depth resolution of 0.17 mm at a frame rate above 100 Hz. A feature point matching algorithm incorporating scene knowledge is implemented to obtain 3D points to which a paraboloid surface is fitted. Precision is compared with reference to a LIDAR sensor and experiments applying normal and tangential force to the fingertip recorded with a 6-DOF force sensor setup. The results imply that state-of-the-art feature-based algorithms are insufficient or unsuited to match the fingertip surface reliably. Further approaches are proposed to improve robustness.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generation and evaluation of distributed cases by clustering of diverse anthropometric data","authors":"E. Brolin, D. Högberg, L. Hanson, R. Örtengren","doi":"10.1504/IJHFMS.2016.10000533","DOIUrl":"https://doi.org/10.1504/IJHFMS.2016.10000533","url":null,"abstract":"This paper describes a study where diversity in body size, strength and joint range of motion, together with diversity in other capability measurements, is included in the process of generating dat ...","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123005894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Marler, N. Capdevila, Jake Kersten, A. Taylor, S. Wagner, J. Mackiewicz
{"title":"Human simulation for task-based survivability analysis","authors":"T. Marler, N. Capdevila, Jake Kersten, A. Taylor, S. Wagner, J. Mackiewicz","doi":"10.1504/IJHFMS.2016.10000596","DOIUrl":"https://doi.org/10.1504/IJHFMS.2016.10000596","url":null,"abstract":"Personal protective equipment (PPE) is increasingly approached from a systems perspective, and one must consequently consider human systems integration (HSI). However, tools for virtual analysis in this regard are lacking. Few human models have the ability to design or import complex PPE systems and then test them from an HSI perspective. Thus, we propose capabilities that allow for improved balance between mobility and coverage, and thus improved survivability. We contend that the propensity for survivability depends critically on the task being completed and on anthropometry. We present a suite of integrated tools for simulating: 1) war fighter interaction with body armour; 2) mission-critical tasks; 3) internal viscera that scale and move appropriately; 4) ballistic threats with statistical analysis. We have also developed methods for displaying external results within a human modelling framework, for inter-process communication, and for using external data as objective functions with optimal design of PPE-human systems.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130756317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}