Predicting automobile seat comfort using a neural network

Kolich, Mike

doi:10.1016/j.ergon.2003.10.004

Cited by 58 publications

(43 citation statements)

References 8 publications

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“…People, especially those who deal with the car industry, have been viewing discomfort as a static feature 5,6) . In this regard, the discomfort can be correlated objectively with seat pressure, contact area, thermal effect, and electromyography activity (EMG).…”

Section: Introductionmentioning

confidence: 99%

A Quasi-static Discomfort Measure in Whole-body Vibration

et al. 2010

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A new methodology for objective evaluation of discomfort in whole-body vibration (WBV) is introduced in this work. The proposed objective discomfort characterizes discomfort based on the relative motion between adjacent segments of the human body from neutral positions. It peaks when the joints reach their limits. The objective discomfort has been tested on five subjects in the fore-aft direction using discrete sinusoidal frequencies of 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 7, 8, 9, 10, 12, 14, and 16 Hz. Each frequency file runs for 15 s with a 3 s resting period as a reference for discomfort comparison. All files run at a constant acceleration of 0.7 m/s 2 . The subjects were tested with back support and without back support, and their subjective discomfort was reported based on the Borg CR-10 scale. The proposed objective discomfort has shown significant correlation with the subjective discomfort. The objective discomfort has also been tested on five subjects under multiple-axis random WBV with three common industrial seating configurations (seatmounted control, floor-mounted control, and steering wheel), and has shown promising results.

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Section: Introductionmentioning

confidence: 99%

A Quasi-static Discomfort Measure in Whole-body Vibration

et al. 2010

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“…Fashion in the automobile industry can be visualized externally through unique styles and models and internally through posh interior decorations and accessories. The increasing fashion trend in the automotive industry stems from the increase in personal customization during the automobile design and production stages [9]. For instance, the success of the fashionable Mini Cooper is partly a result of the internal and external customization as per end user preferences [10].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers

et al. 2015

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Abstract:To better satisfy various stakeholders, firms are seeking integrated practices that can enhance their sustainability performance, also well known as the Triple Bottom Line (3BL). The fashion industry exhibits potential conflicts with the spirit of sustainability because of the waste created by high levels of demand uncertainty and the extant usage of resources in production. Literature suggests that selected stand-alone practices of lean, green, and Corporate Social Responsibility (CSR) management systems have a positive impact on firm sustainability performance. However, how the combination of selected practices from these three management systems impacts the 3BL remains unclear. Based on case studies, we build an integrated sustainable practices model incorporating the most popular lean, green, and social practices and develop propositions for future tests. Our OPEN ACCESSSustainability 2015, 7 3839 framework suggests the implementation of integrated practices would have a stronger influence on 3BL performance than individual practice implementation.

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“…-여대생 의복개발 (Nagamachi et al, 1988) -주택설계 (Nagamachi, 1991) -Nissan社의 자동차 내장설계 (Jindo et al, 1991) -Komatsu社의 건설기계내장설계 (Nakata et al, 1994) -Itoki社의 3D 이미지에 의한 사무용 의자설계 신경망기법 -감성언어와 설계요소 간의 추론능력을 향상 (Ishihara et al, 1995) -자동차 안락감 모델 (Kolich, 2004) 나무구조 -Ford社의 'Taurus'개발 (Petersen, 1992) 컨조인트분석 -다양한 제품 속성에 대한 선호도 차이분석 (Green & Desarbo, 1987) 범주도표 -다양한 소비자요구 유형을 제품윤곽과 연결 (Kano et al, 1984) 퍼지추론시스템 -소비자 선호에 대한 언어의미해석 (Turksen & Wilson, 1993 다. 감성의 복합적·다차원적 특성을 밝히기 위해 감성의 2 차원 구조에 대한 연구 (Russel, 1980;Russel & Steiger, 1982), 위계구조에 대한 연구 (Laros & Steenkamp, 2005) 등이 있으나 감성의 구조화로 인해 얻는 간결함의 이득보다 세부적인 분석능력의 손실이 더 클 수도 있다 (Ekkekakis & Petruzzello, 2002).…”

Section: 모델링 기법 적용사례 수량화1류기법unclassified

A Comparison of Modeling Methods for a Luxuriousness Model of Mobile Phones

2006

Journal of the Ergonomics Society of Korea

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This study aims to compare and contrast the Kansei modeling methods for building a luxuriousness model that people feel about appearance of mobile phones. For the evaluation based on Kansei engineering approaches, 15 participants were employed to evaluate 18 mobile phones using a questionnaire. The results of evaluation were analyzed to build luxuriousness models through quantification I method, neural network, and decision tree method, respectively. The performance of Kansei modeling methods was compared and contrasted in terms of accuracy and predictability. The result of comparison of modeling methods indicated that model accuracy and predictability was closely related to the number of variables and data size. It was also revealed that quantification I method was the best in terms of model accuracy while decision tree method was the best modeling method with small variance in terms of predictability. However, it was empirically found that quantification I method showed extremely unstable predictability with small number of data. Consequently, it is expected that the research findings of this study might be utilized as a guideline for selecting proper Kansei modeling method.

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Predicting automobile seat comfort using a neural network

Cited by 58 publications

References 8 publications

A Quasi-static Discomfort Measure in Whole-body Vibration

A Quasi-static Discomfort Measure in Whole-body Vibration

The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers

A Comparison of Modeling Methods for a Luxuriousness Model of Mobile Phones

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