Second International Conference on `Intelligent Systems Engineering' 1994
DOI: 10.1049/cp:19940632
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A neuro-fuzzy control system for intelligent sewing machines

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Cited by 7 publications
(5 citation statements)
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“…In this way, people can purchase garments by conducting virtual wear trials using their own body size and shape. And as far as the making up of the chosen garment is concerned, we have already developed an intelligent sewing machine (Stylios and Sotomi, 1994), which can automatically deal with optimum sewing data for the fabrics concerned.…”
Section: Conclusion and Further Workmentioning
confidence: 99%
“…In this way, people can purchase garments by conducting virtual wear trials using their own body size and shape. And as far as the making up of the chosen garment is concerned, we have already developed an intelligent sewing machine (Stylios and Sotomi, 1994), which can automatically deal with optimum sewing data for the fabrics concerned.…”
Section: Conclusion and Further Workmentioning
confidence: 99%
“…Recently, there are some studies about automatic sewing. Stylios et al presented a control system for sewing machine (Stylios and Sotomi, 1994). The system predicted foot pressure and disk pressure from material characteristics and sewing speed utilizing neural network and fuzzy model.…”
Section: Introductionmentioning
confidence: 99%
“…An understanding of these aspects will be useful for machine design, selection of the right sewing thread and machine parameters so as to minimize the strength loss. It may be added that Stylios et al (1994, 1995) has contributed significantly as regards developing control systems for intelligent sewing machine (Stylios and Sotomi, 1994, 1996). Based on the proposed research and its outcome, the sewing parameters can be monitored and re‐adjusted for intelligent garment manufacturing process.…”
Section: Introductionmentioning
confidence: 99%