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This thesis (paper) deals with finding the main factors to make touch sensitivity variation big when designing touch sensor, and deriving the parameters to make minimize touch sensitivity variation. Proposed touch design solution by applying auto-tuning algorithm and key processing scenario for the appliance product. Semiconductor characteristics variation of PSoC touch sensing block and capacitance reduction for low-cost single-side PCB touch pattern design is the main causes to make touch sensitivity variation increased when touching. Proposed auto-tuning algorithm for two kinds of touch sensor type which are able to adjust the reference voltage and the charging current for each channels. Even if produced touch solutions are different and control parameters can be different for each solutions, we can find the adjustable control variables for each touch sensor channels and apply a general auto-tuning algorithm. In case studies, auto-tuning algorithm improved the touch sensitivity deviations. The results is that reduced from 44.33% to 2.72%, 12.26% to 2.69% in each issue channels for capacitor sharing type and reduced from 0.78% to 0.00%, 1.57% to 0.01% in each issue channels for CapSense sigma-delta type. As a result, auto-tuning algorithm made touch sensor design variables decision easy and reduced the failure rate for the system.