Measuring and evaluating real service operations with human-behavior sensing: A case study in a Japanese cuisine restaurant

A case study of human-behavior sensing in a Japanese cuisine restaurant is described. The aim of this study is to create a suite of human-behavior sensing that facilitate people who are in real service fields to understand current operations, and make plans for improving operations. We created a prototype of the suite, which consists of several component technologies such as pedestrian dead-reckoning (PDR), sensor data fusion (SDF), service operation estimation (SOE), service field simulator (SFS), and data visualization. We had anexperiment in a Japanese cuisine restaurant, and found that the suite assisted managers and waiting staff to understand current state of operations, and to make a plan for improving operations. An overview of the suite, and results of experiment are described.