Name
Abstract | ||
|---|---|---|
We present a study in which 59 participants logged their interpersonal conflicts while wearing an Empatica E4 wristband. They marked the beginnings and endings of the conflicts, as well as their intensity. In this paper, the dataset is described and a preliminary analysis is performed. We describe data segmentation and feature calculation process. Next, the interrelationships between the features and labels are explored. A logistic regression model for conflict recognition was built and significant features were selected. Finally, we constructed a machine learning model and proposed how to improve it. |
Year | Venue | Field |
|---|---|---|
2018 | AmI | Computer vision,Data segment,Interpersonal communication,Wrist,Computer science,Artificial intelligence,Logistic regression,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junos Lukan | 1 | 0 | 0.34 |
| Martin Gjoreski | 2 | 0 | 2.03 |
| Heidi Mauersberger | 3 | 0 | 0.34 |
| Annekatrin Hoppe | 4 | 0 | 0.34 |
| Ursula Hess | 5 | 0 | 0.34 |
| Mitja Luštrek | 6 | 410 | 54.52 |