Name
Title | ||
|---|---|---|
A person-environment-object model for data acquisition method of microscopic behavior |
Abstract | ||
|---|---|---|
Behavior research is limited by the accessibility of the microscopic behavior data. In this study, a PEO (Person-Environment-Object) model is proposed to decompose the diverse microscopic behavior in real world into simple and measurable variables such as position, status, time, and etc., which serves as a foundation for the behavioral data collection. According to the PEO model, then the framework of acquisition program for microscopic behavior data is established based on wireless sensor technology, in order to provide high spatial and temporal resolution behavioral data for deep behavior research and its applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BMEI.2014.7002906 | BMEI |
Keywords | Field | DocType |
temporal resolution behavioral data,data acquisition method,person-environment-object model,status change,behavior,microscopic behavior data,spatiotemporal phenomena,data acquisition,spatial resolution behavioral data,wireless sensor technology,wireless sensor networks,wireless sensor,peo model,stress,planning,data models,microscopy,wireless communication | Data modeling,Computer vision,Wireless,Computer science,Data acquisition,Object model,Behavioral data,Artificial intelligence,Wireless sensor network,Temporal resolution | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Sun | 1 | 0 | 0.34 |
| Jing Bai | 2 | 1 | 1.03 |
| Shuning Zhang | 3 | 1 | 0.70 |
| Bolin Zhu | 4 | 0 | 0.34 |
| Guixiang Zheng | 5 | 0 | 0.34 |
| Fang Wu | 6 | 0 | 0.68 |
| Jianhua Gong | 7 | 208 | 30.61 |