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An ADHD patient joining into a class is a big challenge for teachers. For taking care of all students, it is difficult for teachers to pay more attention to the ADHD patient. Thus, an activity detection and warning system for ADHD patient is proposed in this paper to help teachers controlling whole class. We extract discrete cosine transform coefficients in pre-coded video bitstream to measure the activity. If the activity of the ADHD patient is higher than the average activity of whole class, the proposed system will remind the teacher to take care the ADHD patient. Experimental results show that the proposed system can detect the activity of ADHD patient efficiently.