Sen Qiu
Biographic Data
| ID | 10055351 |
|---|---|
| NAME | Sen Qiu |
| GIVEN NAMES | Sen |
| FAMILY NAME | Qiu |
| SIGNATURE | QIU S |
| AFFILIATIONS | Dalian University of Technology |
| ORCID | 0000-0001-6846-546X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Decoupled Multimodal Fusion Network Based on Peripheral Physiological Signals
Multimodal peripheral physiological signal fusion for emotion recognition seeks to perceive or recognize human emotions using peripheral modalities such as electromyography, electrodermal activity, and respiratory wave. Previous approaches to multimodal fusion primarily focus on emotion-sensitive signals such as electroencephalogram (EEG), often overlooking the potential value of peripheral physiological signals in emotion recognition. Moreover, …
A License Management and Fine-Grained Verifiable Data Access Control System for Online Catering
To address the law enforcement challenges arising from the rapid expansion of the online catering industry, China’s market regulatory authorities are pursuing countermeasures through legislative efforts and innovative regulatory models. At present, administrative law enforcement for online catering faces difficulties in license management and ensuring the authenticity and security of data. Specifically, there is a prevalence of fraudulent license…
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A License Management and Fine-Grained Verifiable Data Access Control System for Online Catering
To address the law enforcement challenges arising from the rapid expansion of the online catering industry, China’s market regulatory authorities are pursuing countermeasures through legislative efforts and innovative regulatory models. At present, administrative law enforcement for online catering faces difficulties in license management and ensuring the authenticity and security of data. Specifically, there is a prevalence of fraudulent license…
Decoupled Multimodal Fusion Network Based on Peripheral Physiological Signals
Multimodal peripheral physiological signal fusion for emotion recognition seeks to perceive or recognize human emotions using peripheral modalities such as electromyography, electrodermal activity, and respiratory wave. Previous approaches to multimodal fusion primarily focus on emotion-sensitive signals such as electroencephalogram (EEG), often overlooking the potential value of peripheral physiological signals in emotion recognition. Moreover, …
Access control (1 work) · Artificial neural network (1 work) · Blockchain (1 work) · Computer Science (1 work) · Computer security (1 work) · Data management (1 work) · Database (1 work) · Digital Rights Management and Security (1 work) · EEG and Brain-Computer Interfaces (1 work) · Emotion and Mood Recognition (1 work)