ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-4, 127-131, 2016
https://doi.org/10.5194/isprs-annals-III-4-127-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
03 Jun 2016
THE DESIGN OF WORKER'S BEHAVIOR ANALYSIS METHOD IN WORKPLACE USING INDOOR POSITIONING TECHNOLOGY
K. Tabata, H. Konno, and M. Nakajima KOKUSAI KOGYO CO., LTD., 2 Rokubancho, Chiyoda-ku, Tokyo, Japan
Keywords: Worker’s Behavior Analysis Method, Indoor Positioning, Smartphone Application, Bluetooth Low Energy, Workplace, Action History Abstract. This study presents a method for analyzing workers’ behavior using indoor positioning technology and field test in the workplace. Recently, various indoor positioning methods, such as Wi-Fi, Bluetooth low energy (BLE), visible light communication, Japan’s indoor messaging system, ultra-wide band (UWB), and pedestrian dead reckoning (PDR), have been investigated. The development of these technologies allows tracking of movement of both people and/or goods in indoor spaces, people and/or goods behavior analysis is expected as one of the key technologies for operation optimization. However, when we use these technologies for human tracking, there are some problem as follows. 1) Many cases need to use dedicated facilities (e.g. UWB). 2) When we use smartphone as sensing device, battery depletion is one of the big problem (especially using PDR). 3) the accuracy is instability for tracking (e.g. Wi-Fi). Based on these matters, in this study we designed and developed an indoor positioning system using BLE positioning. And, we adopted smartphone for business use as sensing device, developed a smartphone application runs on android OS. Moreover, we conducted the field test of developed system at Itoki Corporation’s ITOKI Tokyo Innovation Center, SYNQA, office (Tokyo, Japan). Over 40 workers participated in this field test, and worker tracking log data were collected for 6 weeks. We analyzed the characteristics of the workers’ behavior using this log data as a prototyping.
Conference paper (PDF, 1887 KB)


Citation: Tabata, K., Konno, H., and Nakajima, M.: THE DESIGN OF WORKER'S BEHAVIOR ANALYSIS METHOD IN WORKPLACE USING INDOOR POSITIONING TECHNOLOGY, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-4, 127-131, https://doi.org/10.5194/isprs-annals-III-4-127-2016, 2016.

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