Development of a Civilian 3d Hand Scan Database

Author(s):  
Bethany Juhnke ◽  
Colleen Pokorny ◽  
Linsey Griffin ◽  
Susan Sokolowski

Despite the complexity of the human hand, most large-scale anthropometric data for the human hand includes minimal measurements. Anthropometric studies are expensive and time-consuming to conduct, and more efficient methods are needed to capture hand data and build large-scale civilian databases to impact product design and human factors analyses. A first of its kind large-scale 3D hand anthropometric database was the result of this study with 398 unique datasets. This database was created at minimal cost and time to researchers to improve accessibility to data and impact the design of products for hands.

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 392
Author(s):  
Zige Lan ◽  
Zhangwen Su ◽  
Meng Guo ◽  
Ernesto C. Alvarado ◽  
Futao Guo ◽  
...  

Understanding the drivers of wildfire occurrence is of great value for fire prevention and management, but due to the variation in research methods, data sources, and data resolution of those studies, it is challenging to conduct a large-scale comprehensive comparative qualitative analysis on the topic. China has diverse vegetation types and topography, and has undergone rapid economic and social development, but experiences a high frequency of wildfires, making it one of the ideal locations for wildfire research. We applied the Random Forests modelling approach to explore the main types of wildfire drivers (climate factors, landscape factors and human factors) in three high wildfire density regions (Northeast (NE), Southwest (SW), and Southeast (SE)) of China. The results indicate that climate factors were the main driver of wildfire occurrence in the three regions. Precipitation and temperature significantly impacted the fire occurrence in the three regions due to the direct influence on the moisture content of forest fuel. However, wind speed had important influence on fire occurrence in the SE and SW. The explanation power of the landscape and human factors varied significantly between regions. Human factors explained 40% of the fire occurrence in the SE but only explained less than 10% of the fire occurrence in the NE and SW. The density of roads was identified as the most important human factor driving fires in all three regions, but railway density had more explanation power on fire occurrence in the SE than in the other regions. The landscape factors showed nearly no influence on fire occurrence in the NE but explained 46.4% and 20.6% in the SE and SW regions, respectively. Amongst landscape factors, elevation had the highest average explanation power on fire occurrence in the three regions, particularly in the SW. In conclusion, this study provides useful insights into targeted fire prediction and prevention, which should be more precise and effective under climate change and socio-economic development.


Author(s):  
Jason J. Saleem ◽  
Kyle Maddox ◽  
Jennifer Herout ◽  
Kurt Ruark

This practice-oriented paper presents a human-centered design (HCD) framework that we developed to perform a comprehensive evaluation of a new health information technology (HIT) system under development, intended to replace a legacy system. The Department of Veterans Affairs (VA) Veteran Crisis Line (VCL) program provides a vital service in crisis intervention and suicide prevention. VCL staff rely on a Customer Relationship Management (CRM) legacy system, Medora. VCL intended to replace Medora with Microsoft Dynamics 365 (D365) CRM system. Due to wide-spread criticism of D365, the VA Human Factors Engineering (HFE) team engaged in a multi-study, mixed-method HCD evaluation to investigate the legacy system and intended replacement in terms of ability to support VCL staff needs. The HCD framework we developed to perform this evaluation may be adapted for other large-scale HIT transitions and may provide human factors practitioners with guidance to make evidence-based decisions to support (or abandon) such transitions.


Author(s):  
Katharine McCoy

This presentation, reflecting a politics undergraduate thesis, will explore the design process behind the ballots that voters use in democratic elections around the world. Ballots are an inherently political objects, and in many cases, the most direct line of communication a citizen has to the government of their country. As such, the design of the ballot affects the legitimacy of higher level electoral and democratic institutions. This project argues that by co-opting the language of product design, a universal ballot design process would make more efficient ballots across the globe.   Product design starts with a brainstorming stage that explores at the user, the goal of the object, and the context of its use to create an effective design. By applying these observations to the process of designing a ballot, each electoral commission can produce a more effective ballot. Currently there is no standardization for ballot design other than ensuring that electoral commissions tried to make it “friendly.” By examining cases of bad ballot design, it is possible to see what element of the design process was missed or misused to create a process that corrects for these mistakes. This project examines poorly designed ballots in Florida, Scotland, and Colombia to explore the large-scale effects these small design choices make, and how to fix them. 


2018 ◽  
Vol 7 (3) ◽  
pp. 298-304
Author(s):  
Reefa Qudsiya ◽  
Lisdiana Lisdiana ◽  
Nugrahaningsih WH

Nervous system teaching materials available in schools do not contain scientific-related content as mandated by the 2013 curriculum. In addition, teaching materials also do not contain student character reinforcement content. The purpose of this study is to develop “Nervous Problem Based Module with a  Conservation Character” as a nervous system learning supplement. This type of research is Research and Development (R&D) using ten steps, namely identification of potential and problems, data collection, product design, product design validation, product design revisions, small scale trials, product revision I, large scale trials, product revision II, and final products. The research subjects were students of class XI of SMA N 1 Bae Kudus. Nervous Problem Based Module with a  Conservation Character  tested the feasibility, readability, and effectiveness. Feasibility tests obtained very valid results. Readability test results were very valid. Test effectiveness by applying  Nervous Problem Based Module with a  Conservation Character in learning, obtained effective results and can be used in learning. The insertion of the conservation character reinforcement in the module gives positive results on the character of students. It can be concluded that “Nervous Problem Based Module with a Conservation Character” is decent and effectively applied in the nervous system learning.


Author(s):  
John W. Garrett

Recent studies of the anthropometry and selected biomechanical characteristics of hands are summarized. These include: (1) conventional anthropometry of male and female hands, (2) the anthropometry of the relaxed hand, (3) comparison of certain engineering anthropometric and performance parameters between bare and pressure-gloved hands, and (4) the ability to retain grips on selected handles under high dynamic loads. The utility of these data for human factors engineering is discussed.


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