Koji Makita

TL;DR: A view management method to overlay annotations of moving or non-rigid objects for networked wearable AR and it is proven that the prototype system can correctly provide each user with annotations on multiple users of wearable AR systems.

TL;DR: A networked database system of annotation information for wearable AR systems provides users with annotation information from a server via a wireless network so that the wearable computers do not need to hold it in advance and information providers can easily update and add the database with a web browser.

TL;DR: In this paper, the authors describe the strategy of SOE (Service Operation Estimation) which is the operational behavior estimation of employees in labor-intensive service fields, assuming that SOE would be utilized for the feedback for employers and employees in all kinds of the service field: service operational improvement, employee training and quality control activities.

TL;DR: This work proposes a method which simultaneously subtracts pedestrians based on background subtraction method and generates location metadata by manually input from maps and achieved an underground panoramic view system which displays no pedestrians.

TL;DR: This chapter presents a novel method of estimating position, orientation, and multiple actions of a worker in a service field which integrates human localization and action recognition with the complementary use of the PDR, named “PDRplus”.