2008 Volume 4 Issue 1 Pages 65-72
Though performance testing is an effective way to assess examinees' skill in sports or manufacturing, its CBT implementation is not progressing. Taking golf putt swing as an example, this paper discusses a method to assess the skill level of an examinee automatically from his motion data. In our previous paper, we used some characteristic postures extracted from the motion data for assessment. However, this method cannot take the timing of motion or the process between the postures into account. Here, we propose using a recurrent neural network(RNN) to deal with this problem. We applied the quasi-Newton method to accelerate the leaning process, and the minimum description length principle to decide the network configuration. We verified the effectiveness of the proposed method by using actual examinees' motion data and assess their skill with RNN.
