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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Varsha Kiran, Patil | - |
| dc.contributor.author | Vijaya R., Pawar | - |
| dc.contributor.author | Shreiya, Randive | - |
| dc.date.accessioned | 2023-04-19T04:50:07Z | - |
| dc.date.available | 2023-04-19T04:50:07Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1186/s43067-023-00085-2 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8073 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | The facial and physiological sensor-based emotion recognition methods are two popular methods of emotion recognition. The proposed research is the first of its kind in real-time emotion recognition that combines skin conductance signals with the visual-based facial emotion recognition (FER) method on a Raspberry Pi. This research includes stepwise documentation of method for automatic real-time face detection and FER on portable hardware. Further, the proposed work comprises experimentation related to video induction and habituation methods with FER and the galvanic skin response (GSR) method. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | FER | vi |
| dc.subject | GSR | vi |
| dc.title | From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Kỹ thuật điện; Điện tử - Viễn thông | ||
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