Research

Body-tracking collaborative behavior data for workplace designs

• Team  Mind Computation Lab

• Principle Investigator Professor Seung Wan Hong, Inha University

• Funding details  This project was supported by the National Research Foundation of Korea (NRF) grants funded by the Ministry of Education (Grant Number NRF- 2021R1A2C1004608).

This project structures and extracts the workplace environment’s motion and behavioral rule data through body-tracking technology and applies them to human behavior simulations. Our team collects user behavior data through Microsoft Azure Kinect.  Sensing actual behavioral data is expected to support limited behavioral sources of previous human behavior simulation: (1) consideration of human socioeconomic factors and dynamics of collaborative behavior values in design practice, (2) improving reliability between simulation results and actual user behavior, and (3) virtual user behavior data setup and autonomous behavior generation. 

Subsequently, we explore the development of a human behavior simulation model that generates virtual users’ motion and behavior rules relying on collected data through Unity 3D, C++, and C# programming, a commercial 3D game engine. We found the possibilities to enhance the validity of behavior mechanisms in human behavior simulation and eventually correspond to real-world conditions.