Abstract
Lifelog, logging the whole data of daily life is getting popular recently. In this paper, we propose a method to recognize the action of deskwork which has relation to many people by using skeleton and image features. The manually labeling cost reduction method is also discussed. By labeling 1% of whole frames, about 90% labels are correctly estimated.