Name
Title | ||
|---|---|---|
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey. |
Abstract | ||
|---|---|---|
•The types of devices and commonly extracted features for each physiological signal.•The research is divided into laboratory, office, school, automobile and daily life.•Relaxation apps and methods that could be applied to reduce extreme stress.•Research directions and open research problems in the topic were identified. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jbi.2019.103139 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Stress recognition,Machine learning,Wearable sensors,Smartphone,Daily life physiological data | Information retrieval,Wearable computer,Computer science,Human–computer interaction,Wearable technology,Smartwatch | Journal |
Volume | ISSN | Citations |
92 | 1532-0464 | 4 |
PageRank | References | Authors |
0.53 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Can, Yekta Said | 1 | 12 | 2.38 |
| Bert Arnrich | 2 | 355 | 46.86 |
| Cem Ersoy | 3 | 1357 | 91.36 |