Kinematic modeling of a motorcycle rider for design of functional clothing

2019 ◽  
Vol 31 (6) ◽  
pp. 856-873
Author(s):  
Kanika Jolly ◽  
Sybille Krzywinski ◽  
PVM Rao ◽  
Deepti Gupta

Purpose Whilst motorcycling is an activity of pleasure in most parts of the world, in India, it is a regular mode of commuting. The number of registered motorized two wheelers increased at the rate of 14.7 percent during the year 2016-2017 to reach the figure of 20.19m in 2018. But, with this increase, the number of motorcycle road accidents is also increasing. Uncomfortable riding clothing is one of the major factors for motorcycle rider’s muscular fatigue, which might at times lead to serious accidents. No kinematic human models have been, so far, used for the design of protective, functional and aesthetic looking products, and the result is, hence, a compromised fit that is not protective or comfortable. The purpose of this paper is to develop virtual 3D human body models for specific postures of a motorcycle rider. Design/methodology/approach Kinematic analysis of a motorcycle rider was conducted to identify typical body postures obtained by the motorcycle rider while mounting and riding a motorcycle. The identified body postures were mapped on a virtual parametric human model to obtain digital model of a motorcycle rider. 3D garment patterns for jacket and trouser were developed on all the four body postures. 3D patterns were flattened out to get 2D flat patterns that were compared and analyzed, and appropriate pattern shapes from each of the four postures were selected. Virtual fit analysis was conducted for the finally garment. Findings It is well established that a static 2D anthropometry fails to accurately capture the dimensions of complex 3D human form, yielding poor garment fit. Therefore, in this study, virtual, 3D human body models were developed in selected dynamic poses. Garment patterns developed in 3D have the typical movement inbuilt in them; hence, they offer more comfort and ease of motion to the wearer. Originality/value The identification of typical body postures of motorcycle rider has not been done before. The CAD models developed in the study can be used for the generation of ergonomic garment patterns for the motorcycle riders.

Author(s):  
D. V. Suresh Koppisetty ◽  
S. S. Akhil Hawaldar ◽  
Hamid M. Lankarani

Abstract Side-Impact car accidents are the second leading cause of fatalities in the United States. Regulatory standards have been developed for occupant protection in side impact car accidents using dummies or Anthropomorphic Test Devices (ATDs). Although the regulations are based on the use of ATDs, there might be differences between an actual human crash performance and that of a dummy crash performance. In recent years, technology has improved in such a way that crash scenarios can be modeled in various computational software. The human dynamic responses can be examined using active human body models including a combination of rigid bodies, finite elements, and kinematic joints, thus making them versatile to use in all crash test scenarios. In this study, the nearside occupants are considered as per regulatory standards set by National Highway Traffic Safety Administration (NHTSA). Vehicle side-impact crash simulations are carried out using LS-DYNA finite element (FE) software, and the occupant response simulations are obtained using MADYMO. Because the simulation of an entire FE model of a car and occupant is quite time-consuming and computationally expensive, a prescribed structural motion (PSM) technique has been utilized in this study and applied to the side-door panel with an occupant positioned in the driver seat of the car in MADYMO. Regular side-impact deformable barrier and pole test simulations are performed with belted and unbelted occupant models considering two different target vehicles namely — a mid-size sedan and a small compact car. Responses from the dummy and the human body models are compared in order to quantify differences between the two in side impacts. The results from this study indicate that human body model behavior is generally similar to that of dummy model in terms of kinematic responses. However, the corresponding injury parameters of the human model are typically higher than that of the dummy model.


2011 ◽  
Vol 9 ◽  
pp. 99-105 ◽  
Author(s):  
J. Gao ◽  
I. Munteanu ◽  
W. F. O. Müller ◽  
T. Weiland

Abstract. With the development of medical technique and computational electromagnetics, high resolution anatomic human models have already been widely developed and used in computation of electromagnetic fields induced in human body. Although these so called voxel-based human models are powerful tools for research on electromagnetic safety, their unchangeable standing posture makes it impossible to simulate a realistic scenario in which people have a lot of different postures. This paper describes a poser program package which was developed as an improved version of the free-from deformation technique to overcome this problem. It can set rotation angles of different human joints and then deform the original human model to make it have different postures. The original whole-body human model can be deformed smoothly, continuity of internal tissues and organs is maintained and the mass of different tissues and organs can be conserved in a reasonable level. As a typical application of the postured human models, this paper also studies the effect of the step voltage due to a lightning strike on the human body. Two voxel-based human body models with standing and walking posture were developed and integrated into simulation models to compute the current density distribution in the human body shocked by the step voltage. In order to speed up the transient simulation, the reduced c technique was used, leading to a speedup factor of around 20. The error introduced by the reduced c technique is discussed and simulation results are presented in detail.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254120
Author(s):  
Norihiro Nishida ◽  
Tomohiro Izumiyama ◽  
Ryusuke Asahi ◽  
Fei Jiang ◽  
Junji Ohgi ◽  
...  

Analysis using human body models has been performed to reduce the impact of accidents; however, no analysis has shown a relationship between lumbar and pelvic/spine angle and seat belts in reducing human damage from accidents. Lumbar and pelvic/spine angles were measured in 75 individuals and the measurements were used to create three different angles for the Total Human Model for Safety model. In the present study, we focused on lumber lordosis (LL) and pelvic angle (PA). A normal distribution and histogram were used for analysis of PA (01, 10, and 50). The Total Human Model for Safety, including LL and PA, was corrected using finite element software. Simulations were conducted under the conditions of the Japan New Car Assessment Programme (JNCAP) 56 kph full lap frontal impact. Using the results of the FEM, the amount of lap-belt cranial sliding-up, anterior movement of the pelvis, posterior tilt of the pelvis, head injury criterion (HIC), second cervical vertebrae (C2) compressive load, C2 moment, chest deflectiou (upper, middle, and lower), left and right femur load, and shoulder belt force were measured. The lap-belt cranial sliding-up was 1.91 and 2.37 for PA10 and PA01, respectively, compared to PA50; the anterior movement of the pelvis was 1.08 and 1.12 for PA10 and PA01, respectively; and the posterior tilt of the pelvis was 1.1 and 1.18 for PA10 and PA01, respectively. HIC was 1.13 for PA10 and 1.58 for PA01; there was no difference in C2 compressive load by PA, but C2 moment increased to 1.59 for PA10 and 2.72 for PA01. It was found that as LL increases and the PA decreases, the seat belt becomes likely to catch the iliac bone, making it harder to cause injury. This study could help to reconsider the safe seat and seatbelt position in the future.


2017 ◽  
Vol 29 (5) ◽  
pp. 673-685 ◽  
Author(s):  
Kaixuan Liu ◽  
Jianping Wang ◽  
Chun Zhu ◽  
Edwin Kamalha ◽  
Yan Hong ◽  
...  

Purpose The purpose of this paper is to propose a relatively simple and rapid method to create a digital human model (DHM) to serve clothing industry. Design/methodology/approach Human body’s point cloud is divided into hands, foots, head and torso. Then forward modeling method is used to model hands and foots, photo modeling method is used to model head and reverse modeling method is used to model torso. After that, hands, foots, head and torso are integrated together to get a static avatar. Next, virtual skeleton is bound to the avatar. Finally, a lifelike digital human body model is created by the mixed modeling method (MMM). Findings In allusion to the defect of the three-dimension original data of human body, this paper presented an MMM, with which we can get a realistic digital human body model with accurate body dimensions. The DHM can well meet the needs of fashion industry. Practical implications The DHM, which is got by the MMM, can be well applied in the field of virtual try on, virtual fashion design, virtual fashion show and so on. Originality/value The originality of the paper lies in the integration of forward modeling, reverse modeling and photo modeling to present a novel method of human body modeling.


2020 ◽  
Vol 32 (5) ◽  
pp. 631-643
Author(s):  
Sedat Özer ◽  
Yaşar Erayman Yüksel ◽  
Yasemin Korkmaz

PurposeDesign of bedding textiles that contact the human body affects the sleep quality. Bedding textiles contribute to comfort sense during the sleep duration, in addition to ambient and bed microclimate. The purpose of this study is to evaluate the effects of different layer properties on the compression recovery and thermal characteristics of multilayer bedding textiles.Design/methodology/approachIn this study, woven and knitted multilayer bedding textiles were manufactured from fabric, fiber, sponge and interlining, respectively. Different sponge thickness, fiber and interlining weight were used in the layers of samples. Later, the pilling resistance, compression and recovery, air permeability and thermal conductivity of multilayer bedding textiles were investigated.FindingsThe results indicated that samples with the higher layer weight and thickness provide better compression recovery and lower air permeability properties. It was also found that knitted surfaces show the higher air permeability than the woven surfaces depending on the fabric porosity. Layer properties have insignificant effect on the thermal conductivity values.Originality/valueWhile researchers mostly focus on thermal comfort properties of garments, there are limited studies about comfort properties of bedding textiles in the literature. Furthermore, compression recovery properties of bedding textiles have also a great importance in terms of comfort. Originality of this study is that these properties were analyzed together.


2018 ◽  
Vol 8 (3) ◽  
pp. 293-304 ◽  
Author(s):  
Chukwuka Christian Ohueri ◽  
Wallace Imoudu Enegbuma ◽  
Ngie Hing Wong ◽  
Kuok King Kuok ◽  
Russell Kenley

Purpose The purpose of this paper is to develop a motivation framework that will enhance labour productivity for Iskandar Malaysia (IM) construction projects. The vision of IM development corridor is to become Southern Peninsular Malaysia’s most developed region by the year 2025. IM cannot realise this foresight without effective labour productivity. Previous studies have reported that the labour productivity of IM construction projects was six times lower than the labour productivity of Singapore construction projects, due to lack of motivation among IM labourers, and a shortage of local skilled labour. Therefore, there is a need to study how to motivate IM construction labourers, so as to increase their productivity. Design/methodology/approach A quantitative research method was used to collect data from IM construction skilled labourers and construction professionals, using two sets of questionnaire. The respondents were selected using a purposive sampling technique. In total, 40 skilled labourers and 50 construction professionals responded to the questionnaire survey, and the data were analysed using Statistical Package for Social Science software (version 22). Findings The analysis revealed the major factors that motivate labourers participating in IM construction projects. The factors were ranked hierarchically using Relative Importance Index (RII) and the outcome of the ranking indicated that effective management, viable construction practices, financial incentives, continuous training and development, and safe working environment were the most significant motivation strategies that positively influence IM construction labourers. Originality/value The study developed and validated a framework that can be used to boost the morale of IM construction labourers, so that their productivity can be increased. Implementation of the established motivation framework will also lead to career progression of IM construction labourers, based on the training elements in the framework. This career prospect will attract local skilled labourers to participate in IM construction projects.


2015 ◽  
Vol 7 (4) ◽  
pp. 421-445 ◽  
Author(s):  
James R. Barth ◽  
Tong Li ◽  
Wen Shi ◽  
Pei Xu

Purpose – The purpose of this paper is to examine recent developments pertaining to China’s shadow banking sector. Shadow banking has the potential not only to be a beneficial contributor to continued economic growth, but also to contribute to systematic instability if not properly monitored and regulated. An assessment is made in this paper as to whether shadow banking is beneficial or harmful to China’s economic growth. Design/methodology/approach – The authors start with providing an overview of shadow banking from a global perspective, with information on its recent growth and importance in selected countries. The authors then focus directly on China’s shadow banking sector, with information on the various entities and activities that comprise the sector. Specifically, the authors examine the interconnections between shadow banking and regular banking in China and the growth in shadow banking to overall economic growth, the growth in the money supply and the growth in commercial bank assets. Findings – Despite the wide range in the estimates, the trend in the size of shadow banking in China has been upward over the examined period. There are significant interconnections between the shadow banking sector and the commercial banking sector. Low deposit rate and high reserve requirement ratios have been the major factors driving its growth. Shadow banking has been a contributor, along with money growth, to economic growth. Practical implications – The authors argue that shadow banking may prove useful by diversifying China’s financial sector and providing greater investments and savings opportunities to consumers and businesses throughout the country, if the risks of shadow banking are adequately monitored and controlled. Originality/value – To the authors’ knowledge, this paper is among the few to systematically evaluate the influence of shadow banking on China’s economic growth.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shefali Saluja ◽  
Arun Aggarwal ◽  
Amit Mittal

Purpose The fraud landscape talks about the existence of fraudulent activities and can be assessed with the help of fraud literature. Taking this into consideration, this paper qualitatively revisits the famous fraud triangle theory developed by Donald R. Cressey (1950) which is the most traditional theory to detect a fraud. This paper aims to discuss various fraud models that have been extensions to fraud triangle theory and reviews the factors that drive a corporate fraud. This study is divided into two phases. The first phases discuss the various theories which have been developed to detect and prevent corporate frauds in organisations, and in the second phase the authors recognize “integrity” as a new extension to the basic fraud theory. The integrity model has been introduced as “fraud square” contributing to the development of fraud theory. Integrity plays a very important role in detecting corporate frauds, and this paper will act as a theoretical benchmark for future references. The implication of this study would help future researchers, academicians and practitioners to understand the fourth element of the fraud theory and would help improve the professional standards of organisations and regulators. Design/methodology/approach This paper revisits the literature in detail and reviews the most acknowledged models to explain “why people commit frauds” – the fraud triangle, fraud scale, the fraud diamond, the ABC model, the MICE model and the SCORE model. The authors contend that the traditional models need to be modernized to acclimate to the current developments in the rapidly increasing fraud incidents, both in occurrence and seriousness. Additionally, this paper builds on theoretical background to generate new model so as to improve the understanding behind the major factors which lead to commitment of frauds. Findings The authors identify a major element – integrity – in the research. As per ACFE 2020, “There are more than 3.3 billion people in the global workforce, half of them takes illegal use of gains from the organisation and some are discipled with integrity who does not cause any harm to the organisation.” To prevent fraud, integrity plays a very important role in organisations (Bakri et al., 2017). It has been found that individuals with less integrity are basically specified to a greater level of mismanagement. The organisations that have worked with integrity will improve performance at work and will always promote the best employees to work with less supervision. Originality/value This paper develops the integrity model to contribute to the development of fraud theory by identifying the key factors that play a major role in whether fraud will actually occur and acting as a theoretical benchmark for all future reference.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eman Almuhur ◽  
Manal Al-Labadi ◽  
Amani Shatarah ◽  
Nazneen Khan ◽  
Raeesa Bashir

Purpose This study aims to focus on electronic applications that have an effective role in raising the awareness of the dangers of viruses’ transmission from person-to-person and their positive and important impact on people’s lives. Design/methodology/approach The authors illustrated the effects of socializing with infected people on a human body by a model in geometry and how the prospected antibiotic annihilates the structure of the virus. The authors discussed vital operations inside the human body to expound the geometry of objects that are closed under their operations, such as viruses, especially Coronaviridae. Findings Also, the authors discussed some of the e-health applications in Jordan. As e-health activities, programs and applications have been given attention, the authors focused on potentials for constructing strategies that lead to create a featuring health technology. Originality/value Moreover, in this study, the authors explored the structure and geometry of Coronaviridae family, especially coronavirus that causes lots of diseases, and explained its movement mechanism using the mathematical structures.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shiya Li ◽  
Usman Waheed ◽  
Mohanad Bahshwan ◽  
Louis Zizhao Wang ◽  
Livia Mariadaria Kalossaka ◽  
...  

Purpose A three-dimensional (3D) printed custom-fit respirator mask has been proposed as a promising solution to alleviate mask-related injuries and supply shortages during COVID-19. However, creating a custom-fit computer-aided design (CAD) model for each mask is currently a manual process and thereby not scalable for a pandemic crisis. This paper aims to develop a novel design process to reduce overall design cost and time, thus enabling the mass customisation of 3D printed respirator masks. Design/methodology/approach Four data acquisition methods were used to collect 3D facial data from five volunteers. Geometric accuracy, equipment cost and acquisition time of each method were evaluated to identify the most suitable acquisition method for a pandemic crisis. Subsequently, a novel three-step design process was developed and scripted to generate respirator mask CAD models for each volunteer. Computational time was evaluated and geometric accuracy of the masks was evaluated via one-sided Hausdorff distance. Findings Respirator masks were successfully generated from all meshes, taking <2 min/mask for meshes of 50,000∼100,000 vertices and <4 min for meshes of ∼500,000 vertices. The average geometric accuracy of the mask ranged from 0.3 mm to 1.35 mm, depending on the acquisition method. The average geometric accuracy of mesh obtained from different acquisition methods ranged from 0.56 mm to 1.35 mm. A smartphone with a depth sensor was found to be the most appropriate acquisition method. Originality/value A novel and scalable mass customisation design process was presented, which can automatically generate CAD models of custom-fit respirator masks in a few minutes from a raw 3D facial mesh. Four acquisition methods, including the use of a statistical shape model, a smartphone with a depth sensor, a light stage and a structured light scanner were compared; one method was recommended for use in a pandemic crisis considering equipment cost, acquisition time and geometric accuracy.


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