Name
Title | ||
|---|---|---|
Objective model assessment for short-term anxiety recognition from blood volume pulse signal. |
Abstract | ||
|---|---|---|
•We develop a short-term anxiety recognition system in healthy people.•We used only one bio-sensor “Blood volume pulse signal”.•Data was obtained through an emotion stimuli based on virtual reality exposure.•We recognize two anxiety levels with 97% and three anxiety levels with 96%.•Model's objective assessment was done by features dynamics in anxiety situations.•We validate a model of three levels anxiety operable in clinical studies. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.bspc.2014.07.008 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Anxiety recognition,Blood volume pulse signal,Exposure to virtual reality (EVR),Features selection,Support vector machines (SVM),Objective assessment | Computer vision,Virtual reality,Masking (art),Recognition system,Blood volume pulse,Anxiety,Robustness (computer science),Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
14 | 1746-8094 | 1 |
PageRank | References | Authors |
0.35 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wahida Handouzi | 1 | 2 | 0.71 |
| Choubeila Maaoui | 2 | 58 | 6.24 |
| Alain Pruski | 3 | 75 | 9.01 |
| Abdelhak Moussaoui | 4 | 2 | 1.05 |