Abstract | ||
---|---|---|
A commonly used method to determine the intelligence of an individual is a group test. It checks accuracy and response time while they solve a series of problems. However, it takes long time and is often inaccurate if the difficulty level of problems is high or the number of problems is too small. Therefore, there is an urgent need to find an objective, readily available, fast and more reliable method to determine the intelligence level of individuals. In this paper, we propose an alternative method to distinguish between high and low intelligent individuals using pupillary response and eye blink pattern. Studies have shown that these measures indicate the cognitive state of an individual more accurately and objectively. Our experimental results show that the bio-signals between high and low intelligent individuals are significantly different and proposed method has good performance. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/978-3-319-26532-2_50 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Bio-signals,Pupil dilation,Eye blink,Intelligence,Classification | Computer vision,Pupillary response,Computer science,Pupil,Group tests,Response time,Artificial intelligence,Cognition,Eye blink | Conference |
Volume | ISSN | Citations |
9489 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giyoung Lee | 1 | 39 | 4.49 |
Amitash Ojha | 2 | 18 | 5.60 |
Minho Lee | 3 | 4 | 3.16 |