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The purpose of this paper is to develop a framework for an interactive clothing that offers a self-directed learning environment in which learners can practice exercises in a time and cost-efficient manner.

To verify the validity of the framework, an interactive shirt has been developed that can help its wearer practicing certain motor skills in a self-directed manner. This shirt enables the wearer to set reference body postures and to compare current posture with them and can notify whether its wearer repeats them correctly or not through vibrotactile feedback.

The interactive shirt prototype developed in this study will offer an environment in which learners can practice exercises in a time and cost-efficient manner.

The smart garment framework developed in this study consists of sensor-actuator module, switch device and control software. As this framework is easily scalable, it is expected that it can be used for various smart garment projects where an interaction between the garment and its wearer is needed.

The purpose of this study is to develop a modular garment assembly line simulator that can be used for various production methods such as traditional mass production or modern small quantity batch production.

For realistic simulation, the actual shape and sewing information of the garment patterns were used. The assembly line consists of process units including the cutter, preprocessor, module assembly, final assembly, finish, and stack units. Any number of units can be arranged and connected to form various layouts. The simulation can be run at an arbitrary speed.

This system can be used to estimate the time required to process the given order for a specific layout. Therefore, it can be utilized as the basis for optimum production line design.

This system is expected to be utilized by garment manufacturers for obtaining the productivity improvement, production cost reduction, and increased competitiveness.