The work aims to solve the problem that there is no objective and quantitative evaluation method for the comfortability of insulating gloves used in live workings of distribution network,a comfortability evaluation method based on Improved Sparrow Search Algorithm(ISSA) optimized BP are proposed．Aiming at the insulation gloves commonly used in live work,three types of insulation gloves were selected as the evaluation objects,and a human upper limb sEMG signal testing platform was built．By collecting the sEMG signal of the right biceps brachii after the subjects wear insulating gloves under typical working conditions．ISSA is adopted to optimize the BP and VMD key parameters,and the comfortability evaluation model of insulating gloves for live workings based on ISSA－BP．Compared with SSA,ISSA effectively improve BP prediction accuracy and VMD decomposition effect．sEMG characteristic parameters and comfortability degree of subjects wearing different insulation gloves are significantly different,and the accuracy of comfortability evaluation model reached 94.9%．The quantitative evaluation method of comfort proposed in this paper provides a basis for the improvement of network insulation gloves and personnel protection．