Perceptibility on the part of the user is a key influence on the success or failure of a wearable sensor. Most wearable sensors seek to measure or monitor parameters of the body as accurately as possible, yet wearable sensors are notoriously plagued by the error (also referred as noise) that may be introduced by the movement of the sensor over the body surface. In this paper, we implement a novel method for analyzing error introduced by garment properties in garment-integrated wearable sensing during body movement, and assess in detail the errors introduced by donning and doffing of a garment (garment positioning error) and by garment drift during the gait cycle (drift error).