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Use of wearable sensors for continuous field monitoring of upper arm and trunk postures among construction workers.
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-05 DOI: 10.1080/00140139.2025.2470235
Micaela Porta, Giulia Casu, Sol Lim, Maury A Nussbaum, Massimiliano Pau

Construction is considered amongst the highest risk sectors for the development of work-related musculoskeletal disorders (MSDs) considering the large number of unfavourable environmental and task-specific factors typical in this sector. Thus, it is important to have quantitative tools to support the assessment of the exposure to physical MSD risk factors. We employed wearable inertial sensors (ISs) to perform a real-world characterisation of static postures and repetitive movements involving the trunk and upper arms (UA), among 15 workers during 2 hours of their regular shifts. IS data were processed according to ISO 11226 and EN 1005-4 standards. We found that workers spent ∼25% of the monitored time in static trunk flexion >20% and more than 50% of the time with UA elevations >20°. The ability to assess working postures for prolonged periods may represent a useful tool for different stakeholders involved in the protection of construction worker health.

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引用次数: 0
Proposal of cognitive bias (CB)-incorporated SHEL model to prevent disasters or crashes based on analyses of organisational failures in risk and crisis management in the Fukushima Daiichi disaster.
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-05 DOI: 10.1080/00140139.2025.2473036
Atsuo Murata, Toshihisa Doi, Waldemar Karwowski

This study demonstrated that cognitive biases contributed to inappropriate interactions between liveware (L) and software (S), hardware (H), environment (E), or liveware (L), leading to the risk-taking decision and the organisational failures in risk and crisis management that caused the Fukushima Daiichi disaster. The validity of the model's inclusion of cognitive biases in other crashes or disasters was further confirmed by analysing 191 cases of crashes or disasters. As a lesson that we should learn from the Fukushima Daiichi disaster on how to prevent a future disaster, we proposed a cognitive bias (CB)-incorporated SHEL model for the prevention of crashes or disasters from the viewpoints of inadequate interactions between liveware and software, hardware, environment, or liveware resulting from cognitive biases.

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引用次数: 0
All-out intermittent exercise on a one-leg knee extension ergometer: mechanical and physiological responses to different resistance forces. 单腿伸膝测力计上的全力间歇运动:对不同阻力的机械和生理反应。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-04 DOI: 10.1080/00140139.2025.2472265
Matheus Silva Norberto, Germano Marcolino Putti, João Victor Gatto Torini, Tiago Rezende Figueira, Marcelo Papoti

This study aimed to evaluate mechanical and physiological responses to all-out high-intensity interval training (HIIT) sessions (10 maximal efforts of 30 seconds each with 4 min of rest) performed against different resistance forces on a one-leg knee extension ergometer. Eighteen men conducted an incremental test to determine the resistance associated with its maximal power (Rmax), followed by all-out HIIT sessions at 120%, 160%, and 200% of Rmax, while oxygen consumption and neuromuscular function were measured. Mechanical power output was higher during the session at 200% of Rmax compared to the other sessions (p < 0.001), but its absolute anaerobic energy contribution was similar to that at 160% of Rmax. Notably, the all-out efforts at 200% Rmax led to inconsistent kicking cadence and some participants were unable to complete the session. Therefore, 160% Rmax was the highest suitable resistance force for a consistent all-out HIIT session on a knee extension ergometer.

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引用次数: 0
Creating augmented reality-based experiences for aviation weather training: Challenges, opportunities, and design implications for 3D authoring. 为航空气象培训创建基于增强现实的体验:三维创作的挑战、机遇和设计意义。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-21 DOI: 10.1080/00140139.2024.2329696
Jiwon Kim, Kexin Wang, Jack Miller, Michael C Dorneich, Eliot Winer, Lori Brown, Barrett Caldwell

This paper examines opportunities and challenges of integrating augmented reality (AR) into education and investigates requirements to enable instructors to author AR educational experiences. Although AR technology is recognised for its potential in educational enhancement, it poses challenges for instructors creating AR-based experiences due to their limited digital skills and the complexity of 3D authoring tools. Semi-structured interviews with 17 aviation instructors identified current pedagogical approaches, gaps, and potential applications of AR in aviation weather education. Additionally, results highlighted the benefits of AR and obstacles to its integration into education, followed by outlining design priorities and user needs for educational AR authoring. For AR authoring toolkit development, this study recommended incorporating interactive AR lesson modules, early development of user requirements, and prebuilt AR modules. Findings will guide the development of a 3D authoring toolkit for non-technologist instructors, enabling wider AR use in aviation weather education and other educational fields.

本文探讨了将增强现实技术(AR)融入教育的机遇和挑战,并研究了使教师能够创作 AR 教育体验的要求。虽然 AR 技术在增强教育方面的潜力已得到认可,但由于教员的数字技能有限以及 3D 制作工具的复杂性,他们在创建基于 AR 的体验时面临着挑战。对 17 名航空教员进行的半结构式访谈确定了当前的教学方法、差距以及 AR 在航空气象教育中的潜在应用。此外,访谈结果还强调了 AR 的益处及其融入教育的障碍,随后概述了 AR 教育创作的设计重点和用户需求。对于 AR 创作工具包的开发,本研究建议纳入交互式 AR 课程模块、早期开发用户需求和预制 AR 模块。研究结果将为非技术人员开发三维创作工具包提供指导,从而使 AR 更广泛地应用于航空气象教育和其他教育领域。
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引用次数: 0
Training flexible spatial-cognitive estimation strategies using augmented reality. 利用增强现实技术训练灵活的空间认知估算策略。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-04-01 DOI: 10.1080/00140139.2024.2332768
Laura Ann Matalenas, Anne Collins McLaughlin

We investigated the potential for augmented reality (AR) as a training aid for spatial estimation skills. Though there are many tools to support spatial judgments, from measuring cups to rulers, not much is known about training spatial skills for retention and transfer. Display of AR was manipulated to train the spatial skill of portion estimation. In Experiment 1, an AR-aided strategy of creating smaller portions out of a larger example amount was compared to a no-AR control condition. This manipulation was based on previous non-AR experiments where amorphous foods were better estimated when divided into smaller portions. There was a significant benefit of estimating using a solid AR shape. In Experiment 2, cognitive anchoring was manipulated. Using meaningful AR anchors resulted in the best performance and most learning. We conclude that spatial estimation skills can be combined with mental strategies and trained via AR.

我们研究了增强现实(AR)作为空间估算技能训练辅助工具的潜力。虽然从量杯到尺子,有很多工具可以支持空间判断,但人们对训练空间技能以保持和迁移的了解并不多。我们操纵 AR 的显示来训练估算份量的空间技能。在实验 1 中,使用 AR 辅助策略从较大的示例量中创造出较小的份量与不使用 AR 的对照条件进行了比较。这一操作是基于之前的非 AR 实验,在这些实验中,无定形食物被分成较小份量时,估算效果更好。使用固体 AR 形状进行估算有明显的好处。在实验 2 中,对认知锚定进行了操作。使用有意义的AR锚点可获得最佳表现和最多的学习效果。我们的结论是,空间估算技能可以与心理策略相结合,并通过 AR 进行训练。
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引用次数: 0
Coupled effect of load weights and belt use on male shoulder pressure redistribution. 负重和使用安全带对男性肩部压力再分布的耦合效应。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-18 DOI: 10.1080/00140139.2024.2328357
Yanyang Dai, Jian Li, Wen Cui, Jun Li

Shoulder pressure redistribution is jointly affected by backpack loads and belt support. However, the combined effect of both factors has rarely been fully evaluated. Here, we studied the coupled effect of backpack loads and belt support on shoulder pressure redistribution. All twenty-eight healthy male subjects underwent eight loading conditions with both chest and hip belts fastened (CH) and unfastened (CON) in four conditions where the backpack weighed 7.5, 15, 22.5, and 30% of body weight (BW). Shoulder pressure distribution was quantified through a pressure-sensing vest mat. The results showed that using the hip belt and chest belt was effective in relieving the high pressure in the lateral clavicle and medial trapezius region and strengthening the load-bearing capacity of shoulder. However, the assistance in pressure relief of using belt was weakened when load increased to 30% BW. This study also showed that the belt use can be effective in improving pressure asymmetry on both sides.

肩部压力再分布受到背包负荷和腰带支撑的共同影响。然而,很少有人对这两个因素的综合影响进行全面评估。在此,我们研究了背包负荷和腰带支撑对肩部压力再分布的耦合影响。在背包重量分别为体重(BW)的 7.5%、15%、22.5% 和 30% 的四种情况下,所有 28 名健康男性受试者在胸带和胯带均系紧(CH)和未系紧(CON)的情况下接受了八种负载条件。肩部压力分布通过压力感应背心垫进行量化。结果表明,使用胯带和胸带能有效缓解锁骨外侧和斜方肌内侧区域的高压力,并增强肩部的承重能力。然而,当负重增加到 30% BW 时,使用腰带对缓解压力的帮助就会减弱。这项研究还表明,使用肩带可有效改善两侧压力不对称的情况。
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引用次数: 0
An intelligent recommendation system for personalised parametric garment patterns by integrating designer's knowledge and 3D body measurements. 集成设计师知识和三维人体测量数据的个性化参数化服装款式智能推荐系统。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-28 DOI: 10.1080/00140139.2024.2332772
Cheng Chi, Xianyi Zeng, Pascal Bruniaux, Guillaume Tartare
<p><p>Garment pattern-making is one of the most important parts of the apparel industry. However, traditional pattern-making is an experience-based work, very time-consuming and ignores the body shape difference. This paper proposes a parametric design method for garment pattern based on body dimensions acquired from a body scanner and body features (body feature points and three segmented body part shape classification) identified by designers according to their professional knowledge. By using this method, we construct a men's shirt pattern recommendation system oriented to personalised fit. The system consists of two databases and three models. The two databases include a relational database (Database I) and a personalised basic pattern (PBP) database (Database II). The Database I is based on manual and three-dimensional (3D) measurements of human bodies by using designer's knowledge. And Database I is a relational database, which is organised in terms of the relational model of the body part shape and its key body feature dimensions. After a deep analysis of measured data, the irrelevant measured dimensions to human body shape have been excluded by designers and extract representative human body feature dimensions. In addition, the relations between body shapes and previously identified body feature dimensions have been modelled. From the above relational model, we label key feature point positions on the corresponding 3D body model obtained from 3D body scanning and correct the whole 3D human upper body model into the semantically interpretable one. The 3D personalised basic pattern is drawn on the corrected model based on these key feature points. By using three-dimensional to two-dimensional (3D-to-2D) flattening technology, a 2D flatten graph of the 3D personalised basic pattern of the interpretable model is obtained and slightly adjusted to the form suitable for industrial production, i.e., PBP and the PBP database (Database II) is built. In addition, the three models include a basic pattern parametric model (Model I) (characterizing the relations between the basic pattern and its key influencing human dimensions (chest girth and back length)), a regression model (Model II) which enables to infer from basic pattern to PBP for three body parts based on the one-to-one correspondence of key points between the PBPs and the basic patterns and a personalised shirt pattern parametric model (Model III) (characterizing the structural relations between the personalised shirt pattern (PBPshirt) and PBP). The initial input items of the recommendation system are the body dimension constraint parameters, including chest girth, back length and the body feature dimensions used to determine each body part shape as well as three shirt style constraint parameters (slim, regular and loose). By using Model I, the corresponding basic pattern can be generated through the user's chest girth and back length. Body feature dimensions determine the three body parts
服装制版是服装业最重要的组成部分之一。然而,传统的样板制作是一项基于经验的工作,非常耗时,而且忽略了人体体形的差异。本文提出了一种基于人体扫描仪获取的人体尺寸和设计师根据专业知识识别的人体特征(人体特征点和三个分割的身体部位形状分类)的服装样板参数化设计方法。利用这种方法,我们构建了一个以个性化合体为导向的男士衬衫版型推荐系统。该系统由两个数据库和三个模型组成。两个数据库包括一个关系数据库(数据库 I)和一个个性化基本版型(PBP)数据库(数据库 II)。数据库 I 是根据设计师的知识对人体进行手工和三维(3D)测量而建立的。数据库 I 是一个关系数据库,按照人体部位形状及其关键身体特征维度的关系模型进行组织。经过对测量数据的深入分析,设计师排除了与人体形状无关的测量维度,提取出具有代表性的人体特征维度。此外,我们还建立了人体形状与之前确定的人体特征维度之间的关系模型。根据上述关系模型,我们在三维人体扫描获得的相应三维人体模型上标注关键特征点位置,并将整个三维人体上半身模型修正为可语义解释的模型。根据这些关键特征点在修正后的模型上绘制三维个性化基本图案。通过三维到二维(3D-to-2D)的扁平化技术,获得可解释模型的三维个性化基本图案的二维扁平化图形,并将其稍作调整为适合工业生产的形式,即 PBP,建立 PBP 数据库(数据库 II)。此外,三个模型包括基本图案参数模型(模型 I)(表征基本图案与其关键影响人体尺寸(胸围和背长)之间的关系)、回归模型(模型 II)(根据 PBP 与基本图案之间关键点的一一对应关系,从基本图案推断出身体三个部位的 PBP)和个性化衬衫图案参数模型(模型 III)(表征个性化衬衫图案(PBPshirt)与 PBP 之间的结构关系)。推荐系统的初始输入项是身体尺寸约束参数,包括胸围、背长和用于确定每个身体部位形状的身体特征尺寸,以及三个衬衫款式约束参数(修身、常规和宽松)。通过使用模型 I,可以根据用户的胸围和背长生成相应的基本版型。身体特征尺寸决定了三个身体部位的形状。然后,利用模型 II 生成相应身体部位形状的 PBP。根据用户选择的衬衫款式,模式 III 从 PBP 生成 PBPshirt。推荐系统的输出结果就是合身的 PBPshirt。此外,如果虚拟试穿后对 PBPshirt 不满意,还设计了四个可调参数(前侧缝褶皱、后侧缝褶皱、腰部褶皱和衣身长度)来调整推荐系统生成的 PBPshirt。
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引用次数: 0
Predicting preferred motorcycle riding postures to support human factors/ergonomic trade-off analyses within a multi-objective optimisation-based digital human model. 在基于多目标优化的数字人体模型中,预测首选摩托车骑行姿势,以支持人为因素/人体工程学权衡分析。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-18 DOI: 10.1080/00140139.2024.2329694
Justin B Davidson, Dr Steven L Fischer

Digital human models (DHM) can predict how users might interact with new vehicle geometry during early-stage design, an important precursor to conducting trade-off analyses. However, predicting human postures requires assumptions about which performance criteria best predict realistic postures. Focusing on the design of motorcycles, we do not know what performance criteria drive preferred riding postures. Addressing this gap, we aimed to identify which performance criteria and corresponding weightings best predicted preferred motorcycle riding postures when using a DHM. To address our aim, we surveyed the literature to find experimental data specifying joint angles that correspond to preferred riding postures. We then deployed a response surface methodology to determine which performance criteria and weightings optimally predicted the preferred riding postures when using a DHM. Weighting the minimisation of the discomfort performance criteria (an aggregate of joint range of motion, displacement from neutral and joint torque) best predicted preferred motorcycle riding postures.

数字人体模型(DHM)可以预测用户在早期设计阶段可能如何与新的车辆几何形状进行交互,这是进行权衡分析的重要前提。然而,预测人体姿态需要假设哪些性能标准最能预测现实姿态。以摩托车设计为重点,我们还不知道哪些性能标准会驱动人们选择骑行姿势。针对这一空白,我们旨在确定在使用 DHM 时,哪些性能标准和相应的权重能够最好地预测首选的摩托车骑行姿势。为了实现这一目标,我们对文献进行了调查,以找到与首选骑行姿势相对应的关节角度的实验数据。然后,我们采用响应面方法来确定使用 DHM 时,哪些性能标准和权重可最佳预测首选骑行姿势。将不适感性能标准(关节运动范围、偏离中立位的位移和关节扭矩的总和)的权重最小化,最能预测首选的摩托车骑行姿势。
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引用次数: 0
How will technology change people's home care in the next 20 years? A strategic foresight study. 未来 20 年,技术将如何改变人们的家庭护理?战略展望研究。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-27 DOI: 10.1080/00140139.2024.2334428
M Pistolesi, G Frangioni, F Fraboni, E Fabbri, F Masci

The rapid expansion of home health care has raised many unresolved issues and will have far-reaching consequences that can only be overcome with a holistic approach to help build and use collective intelligence in a structured, systemic way to anticipate developments. In this frame, the set of issues covered by the human factors research field will significantly impact the safety, quality, and effectiveness of home health care. However, only with a gaze of strategic foresight will we be capable of exploring, anticipating, and shaping the future. A group of researchers from the Italian Society of Ergonomics and Human Factors (SIE) has developed a road map to help all the stakeholders involved in this process.

居家医疗服务的快速发展带来了许多悬而未决的问题,并将产生深远的影响,只有采取整体方法,以结构化、系统化的方式帮助建立和使用集体智慧,预测发展态势,才能克服这些问题。在此框架下,人为因素研究领域所涉及的一系列问题将对家庭医疗保健的安全、质量和有效性产生重大影响。然而,只有具备战略远见,我们才有能力探索、预测和塑造未来。意大利人体工程学与人为因素学会(SIE)的一组研究人员已经制定了一份路线图,以帮助所有参与这一过程的相关人员。
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引用次数: 0
The impact of inter-limb leg lean tissue mass asymmetry on stair climb performance in career firefighters. 肢体间腿部瘦肉组织质量不对称对职业消防员爬楼梯表现的影响。
IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2025-03-01 Epub Date: 2024-03-11 DOI: 10.1080/00140139.2024.2327582
Nicholas A Buoncristiani, Gena R Gerstner, Megan R Laffan, Abigail J Trivisonno, Jacob A Mota, Hayden K Giuliani-Dewig, Eric D Ryan

The purpose of this study was to examine the influence of inter-limb leg lean tissue mass (LTM) asymmetry on stair climb (SC) performance in firefighters. Forty-one career firefighters (age = 32.3 ± 8.2 years, body mass = 92.1 ± 18.6 kg, stature = 178.3 ± 7.9 cm) visited the laboratory on one occasion and completed a whole body and leg composition assessment followed by a timed and weighted SC task. Percent body fat (%BF) and leg LTM were determined during a DEXA scan and regional thigh analysis. Asymmetry was assessed by the percent difference between limbs (dominant limb LTM - non-dominant limb LTM)/dominant limb LTM × 100) and a ± 3% cut-off for asymmetry classification. Participants ascended and descended 26 stairs four times as quickly as possible while wearing a weighted (22 kg) vest. Point biserial correlations were used to assess the relationship of inter-limb leg LTM asymmetry and SC performance before and after controlling for age and %BF. Results indicated that inter-limb leg LTM asymmetry was associated with longer SC task time (poorer performance) both before (r = 0.432, P = 0.005) and after (r = 0.502, P = 0.001) controlling for age and %BF. Our findings indicated that inter-limb leg LTM asymmetry negatively impacts firefighter SC performance, which may be improved with appropriate exercise interventions.

本研究的目的是考察肢体间腿部瘦肉组织质量(LTM)不对称对消防员爬楼梯(SC)表现的影响。41 名职业消防员(年龄 = 32.3 ± 8.2 岁,体重 = 92.1 ± 18.6 千克,身材 = 178.3 ± 7.9 厘米)到实验室进行了一次全身和腿部成分评估,随后完成了计时和加权爬楼梯任务。通过 DEXA 扫描和大腿区域分析确定了体脂百分比(%BF)和腿部 LTM。肢体不对称通过肢体间的百分比差异(优势肢体LTM - 非优势肢体LTM)/优势肢体LTM × 100)进行评估,不对称分类的临界值为± 3%。参与者身穿负重(22 千克)背心,以最快速度上下 26 级楼梯四次。在控制年龄和血压百分比之前和之后,使用点双项相关性来评估肢间腿LTM不对称与SC表现之间的关系。结果表明,在控制年龄和体重百分比之前(r = 0.432,P = 0.005)和之后(r = 0.502,P = 0.001),肢间腿LTM不对称与较长的SC任务时间(较差的表现)相关。我们的研究结果表明,肢间腿LTM不对称会对消防员的SC表现产生负面影响,而适当的运动干预可以改善这种情况。
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引用次数: 0
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Ergonomics
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