| Autor: |
Emako Miyoshi, Zhe Li, Mayumi Oyama-Higa, Yuyu Hu |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
2017 International Conference of Educational Innovation through Technology (EITT). |
| DOI: |
10.1109/eitt.2017.80 |
| Popis: |
This project seeks to establish a measurement system that uses physiological indicators to reflect learning efficiency and changes in mental state during instruction. For this study, we have chosen two indicators: the maximal largest Lyapunov exponent (LLE) and the autonomic nervous balance (ANB). The former indicates degrees of stress and change in the individual, while the latter controls organ movement and reflects one's stress state. Both are measured via pulse waves and are obtained through nonlinear calculation. Three students were observed during a 4-6 hour period of learning, during which time pulse waves were measured every 1-2 hours to enable changes in the two indicators to be recorded. The results show that the LLE declines as the study period progresses, while ANB levels fluctuate. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
