| 杨集梅, 柴洁余, 邱天龙, 等. 共情与中国民族音乐情绪识别的关系: 来自ERP的证据[J]. 心理学报, 2022, 54(10): 1181-1192. |
| 邬宇涵, 苏茜, 貟蓓, 等. 心理测评系统在人才测评中应用进展及启示[J]. 护理学报, 2022, 29(21): 27-31. |
| 刘欢欢, 王朝晖, 叶勤文, 等. 可穿戴技术在情绪识别中的应用进展及发展趋势[J]. 纺织学报, 2022, 43(8): 197-205. |
| 程洪, 黄瑞, 邱静, 等. 人机智能技术及系统研究进展综述[J]. 智能系统学报, 2020, 15(2): 386-398. |
| 雪雯, 陈景霞, 胡凯蕾, 等. 基于EEG和面部视频的多模态连续情感识别[J]. 陕西科技大学学报, 2024, 42(1): 169-176. |
| 范习健, 杨绪兵, 张礼, 等. 一种融合视觉和听觉信息的双模态情感识别算法[J]. 南京大学学报(自然科学), 2021, 57(2): 309-317. |
| CHA H S, IM C H. Performance Enhancement of Facial Electromyogram-Based Facial-Expression Recognition for Social Virtual Reality Applications Using Linear Discriminant Analysis Adaptation[J]. Virtual Reality, 2022, 26(1): 385-398. doi: 10.1007/s10055-021-00575-6 |
| PINTO G, CARVALHO J M, BARROS F, et al. Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification[J]. Sensors, 2020, 20(12): 3510. doi: 10.3390/s20123510 |
| DZEDZICKIS A, KAKLAUSKAS A, BUCINSKAS V. Human Emotion Recognition: Review of Sensors and Methods[J]. Sensors, 2020, 20(3): 592. doi: 10.3390/s20030592 |
| PRABHAKARAN S, AYYAMPERUMAL N K. Automatic Detection of Artifacts and Improved Classification Models for Emotional Activity Detection from Multimodal Physiological Data[J]. Journal of Intelligent & Fuzzy Systems, 2023, 45(5): 8915-8929. |
| SKARAMAGKAS V, KTISTAKIS E, MANOUSOS D, et al. ESEE-D: Emotional State Estimation Based on Eye-Tracking Dataset[J]. Brain Sciences, 2023, 13(4): 589. doi: 10.3390/brainsci13040589 |
| YIN G H, SUN S Q, YU D, et al. A Multimodal Framework for Large-Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, 18(3): 1-23. |
| ARPAIA P, CRAUSO F, DE BENEDETTO E, et al. Soft Transducer for Patient's Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection[J]. Sensors, 2022, 22(2): 536. doi: 10.3390/s22020536 |
| HASNUL M A, AZIZ N A A, ALELYANI S, et al. Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare-A Review[J]. Sensors, 2021, 21(15): 5015. doi: 10.3390/s21155015 |
| TAN C, CEBALLOS G, KASABOV N, et al. Fusion Sense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network[J]. Sensors, 2020, 20(18): 5328. doi: 10.3390/s20185328 |
| SHARMA A, SHARMA K, KUMAR A. Real-Time Emotional Health Detection Using Fine-Tuned Transfer Networks with Multimodal Fusion[J]. Neural Computing and Applications, 2023, 35(31): 22935-22948. doi: 10.1007/s00521-022-06913-2 |
| YAN X C, LIN Z H, LIN Z Y, et al. A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition[J]. IEEE Internet of Things Journal, 2023, 10(11): 9999-10011. doi: 10.1109/JIOT.2023.3235356 |
| ASADZADEH S, REZAⅡ T Y, BEHESHTI S, et al. Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes[J]. Cognitive Computation, 2023, 15(1): 176-189. doi: 10.1007/s12559-022-10077-5 |