1. An apparatus for refining subject activity classification, comprising: a computer system comprising a processor and a memory; an input buffer on the computer system and configured to receive and store activity classification values of activity data of a subject, wherein the activity data is measured by a sensor attached to a body of the subject and the activity classification values represent activities of the subject, and to receive and store object response data of objects associated with the activity data of the subject, wherein the object response data is measured by at least one object response sensor mounted on the objects and includes an activation time of the sensor; a first refining module on the computer system and configured to extract a predetermined number of sequential activity classification values having a pattern and stored in the input buffer; to compare a duration of an activity classification value of the extracted predetermined number of sequential activity classification values to a preset reference time considered necessary for carrying out the activity represented by the activity classification value; to judge the activity represented by the activity classification value as a short time activity when the duration of the activity classification value is shorter than the preset time; to judge the short time activity to be sudden significant activity data when the short time activity is not identical with a preceding activity; and to refine the sudden significant activity data to be identical with activity classification values preceding and following the sudden significant activity data when the preceding and following activities are identical; and a second refining module on the computer system and configured to, in response to the first refining module judging there is no sudden significant activity in the predetermined number of sequential activity classification values, judge whether the pattern of the extracted predetermined number of sequential activity classification values is suitable or unsuitable for a continuous activity pattern by comparing the pattern of the extracted sequential activity classification values to stored predetermined suitable or unsuitable continuous activity patterns; check whether the activation time of the at least one object response sensor corresponds to a time when an unsuitable pattern occurs in the extracted predetermined number of sequential activity classification values; and refine the unsuitable pattern to a predetermined suitable pattern corresponding to a reference activity associated with the object response sensor when the object response sensor is activated during the time when the unsuitable pattern occurs.