| id |
acadia18_186 |
| authors |
Yin, Hao; Guo, Zhe; Zhao, Yao; Yuan, Philip F. |
| year |
2018 |
| title |
Behavior Visualization System
Based on UWB Positioning
Technology |
| doi |
https://doi.org/10.52842/conf.acadia.2018.186
|
| source |
ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 186-195 |
| summary |
This paper takes behavioral performance as a starting point and uses ultra-wideband (UWB) positioning technology and visualization methods to accurately collect and present in-place behavioral data so as to explore the behavioral characteristics of space users. In this process, we learned the observation, quantification, and presentation of behavioral data from the evolution of behavioral research. Secondly, after a comparative analysis of four types of indoor positioning technologies, we selected UWB-positioning technology and the JavaScript programming language as the development tools for a behavior visualization system. Next, we independently developed the behavior visualization system, which required a deep understanding of the working principle of UWB technology and the visualization method of the JavaScript programming language. Finally, the system was applied to an actual space, collecting and presenting users’ behavioral characteristics and habits in order to verify the applicability of the system in the field of behavioral research. |
| keywords |
full paper, design tools, ai + machine learning, big data, behavioral performance + simulation |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (14,822,926 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:57 |
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