An analysis of handle designs for reducing manual effort: The influence of grip diameter

Grant, Katharyn A.; Habes, Daniel J.; Steward, Libby L.

doi:10.1016/0169-8141(92)90033-v

Cited by 79 publications

(51 citation statements)

References 12 publications

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“…국외의 많은 연구에서 이미 근골격계질환의 증상과 작업 위험요인에 대한 연구 (Keyserling et al, 1993;Charlotte et al, 1995;Punnett et al, 1998;Tomas et al, 1999 (Meagher, 1987;Grant et al, 1992;Blackwell et al, 1999). 따라서, 수공구 사용에 있어 작업의 능률을 최 적화하고 사용자가 사용하기 편리한 수공구 디자인을 위해, 파지 폭은 중요한 고려사항이라 할 수 있을 것이다.…”

Section: 김대민 · 공용구 大韓人間工學會unclassified

Research of Grip Forces and Subjective Preferences for Various Individual Finger Grip Spans by using an

2008

Journal of the Ergonomics Society of Korea

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Section: 김대민 · 공용구 大韓人間工學會unclassified

Research of Grip Forces and Subjective Preferences for Various Individual Finger Grip Spans by using an

2008

Journal of the Ergonomics Society of Korea

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“…The muscle isotonic contraction joint power curve test system software can be run in Windows. The software is written in VC++6.0 and contains three modules: a subject database, test interface, and result analysis interface [7].…”

Section: 2mentioning

confidence: 99%

Development and Validation of a Portable Human Body Joint Power Test System

Xia

et al. 2015

International Journal of Distributed Sensor Networks

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A portable human body joint power test system was developed using inertial sensor technology and wireless Bluetooth acquisition technology. A detailed description of the internal structure of the system and the data processing method involved is provided. The test system uses the cubic spline interpolation method, which is very convenient for obtaining the maximum peak points of muscle isotonic contraction joint power curves under different loads. Moreover, the system is portable and can be deployed in the classroom and the playground for education and testing. The test system is very useful in many respects, such as athlete selection and daily strength training. We established a model of our subject using a balanced proportion scaling method in the inverse dynamics software AnyBody modeling system. The muscle model uses the Hill muscle model. The data import interface program was written in the parameterized model definition language AnyScript to import data. The raw data was smoothed with a Butterworth low-pass filter. Dumbbell curl simulation was conducted in AnyBody. The results of the simulation and those of the real test system were tested using the paired samples t-test method; the value of Sig was determined to be greater than 0.05, indicating no significant difference and that the data of the test system are valid.

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“…, 손 부상 자의 작업능력 평가를 위한 목적 (Berryhill, 1990;Williams, 1990;Schultz, 1995), 힘의 단계를 결정하기 위한 목적 (Chengalur et al, 1990;Stokes et al, 1995;Hamilton et al, 1996), 작업자에게 최적화된 수공구 손잡이 설계를 위 한 목적 (Grant et al, 1992;Blackwell et al, 1999;Kong and Freivalds, 2003;Kong et al, 2005;Lowe, 2005a, 2005b;정명철 등, 2007;김대민과 공용구, 2008) 등이 있다.…”

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Grip Force, Finger Force, and Comfort analyses of Young and Old People by Hand Tool Handle Shapes

Kong¹,

Sohn²,

Kim³

et al. 2009

Journal of the Ergonomics Society of Korea

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The purpose of this study was to evaluate aging (young and old), gender (male and female), and handle shape effects on grip force, finger force, and subjective comfort. Four handle shapes of A, D, I, and V were implemented by a multi-finger force measurement (MFFM) system which was developed to measure every finger force with different grip spans. Forty young (20 males and 20 females) and forty old (20 males and 20 females) subjects participated in twelve gripping tasks and rated their comfort for all handles using a 5-point scale. Grip forces were calculating by summation of all four forces of the index, middle, ring and little fingers. Results showed that young males (283.2N) had larger gripping force than old males (235.6N), while young females (151.4N) had lower force than old females (153.6N). Young subjects exerted the largest gripping force with D-shape due to large contribution of the index and middle fingers and the smallest with A-shape; however, old subjects exerted the largest with I-shape and the smallest with V-shape due to small contribution of the ring and little fingers. As expected, the middle finger had the largest finger force and the little finger had the smallest. The fraction of contribution of index and ring fingers to grip force differed among age groups. Interestingly, young subjects provided larger index finger force than ring finger force, whereas old subjects showed that larger ring finger forces than index finger force in the griping tasks. In the relationship between performance and subjective comfort, I-shape exerting the largest grip force had less comfort than D-shape producing the second largest grip force. The findings of this study can provide guidelines on designing hand tool handle to obtain better performance as well as users' comfort.

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An analysis of handle designs for reducing manual effort: The influence of grip diameter

Cited by 79 publications

References 12 publications

Research of Grip Forces and Subjective Preferences for Various Individual Finger Grip Spans by using an

Research of Grip Forces and Subjective Preferences for Various Individual Finger Grip Spans by using an

Development and Validation of a Portable Human Body Joint Power Test System

Grip Force, Finger Force, and Comfort analyses of Young and Old People by Hand Tool Handle Shapes

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