Skin aging can be caused by intrinsic or extrinsic factors. Typical extrinsic factors include UV exposure, lifestyle, and environmental pollution. However, the effects on skin aging differ among individuals because of differences in hereditary traits. Identification of such hereditary traits requires much time and effort. In this study, we propose a scheme for identifying personal hereditary traits by correlating skin images with daily activities. We collected skin images and information on the daily activities of subjects. Skin texture ages were calculated based on various skin texture features, and damage scores were assigned based on activity-related parameters such as activity duration and intensity. By tracing skin ages and damage scores for each activity, we ranked their influence on skin aging and defined personal skin hereditary traits based on the results of the analysis.