2A1-T06 Extraction method of human action rules from long-term observation data considering readability : Application to actions expressed by multi-dimensional time-series data(Cooperation between Human and Machine)
Takahiro Hirai, Kae Doki, Shinji Doki, Yuki Funabora, Akihiro Torii · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2014
We have proposed an extraction technique of action rules from time series on human actions as situations obtained by long-term observation. In the proposed method, HMM and IF-Then rule style are used in consideration of readability of obtained action rules. In this paper, the usefulness of the proposed method is examined with two dimensional time series data on human actions.