Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management
Eun Jeong Choi, Dong-Keun Kim
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.4258/hir.2018.24.4.309 ↗
- Volume · Issue · Pages
- 24 · 4 · 309-309
- Publisher
- Korean Society of Medical Informatics
- Article URL
- https://doi.org/10.4258/hir.2018.24.4.309 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Jan 2018
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Jan 2018 | OpenAlex |
Keywords (as given): valence and arousal classification; emotion recognition; DEAP dataset; long short-term memory; physiological signals; EEG; hyperparameter optimization
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Healthcare Informatics Research
- Publication date used
- 01 Jan 2018 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
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