Estimation of next human action and its timing based on the human action model with timing probabilistic distribution

Abstract

In order to give a suitable support to a person timely, it is necessary for the system to estimate the next human action and its execution timing. Therefore, we have proposed a modeling method of human actions based on the causality between the situation around a person and human action change. Our previous modeling method makes it possible to estimate the next human action and its execution timing based on Hidden Markov Model which expresses the situation around a person. However, Hidden Markov Model was not enough to express the temporal information such as execution timing of next human action. According to this reason, we propose a new model structure of human action that a probabilistic distribution of timing information is incorporated into Hidden Markov Model. And we propose a new modeling method of human action based on the above new probabilistic model.