Mo.2.2.4
Foundational Knowledge Learned from Large-Scale Physiological Data Improves Stress Detection
Tung Vuong, Keith Davis, Tuukka Ruotsalo, LUT University
Session:
Mo.2.2: Emotion and Affective Signal Processing II Oral
Track:
Biomedical Signal Processing
Location:
Room 716A
Presentation Time:
Monday, 27 July, 15:15 - 15:30
Session Co-Chairs:
Zhi-De Deng and Camilo Valderrama
Presentation
Discussion
Resources
No resources available.
Session Mo.2.2
Mo.2.2.1: Enhancing High-Arousal Emotion Identification via Emotion-Aware Feature Refinement
Kunshu Xiao, Xing Zhang, Wenqing Ji, Tongjie Pan, Xipeng Zhao, Yalan Ye, University of Electronic Science and Technology of China; Lan Wei, University College Dublin
Mo.2.2.2: AGE-DEPENDENT NEURAL SIGNATURES PREDICT EMOTION REGULATION OUTCOMES FROM FUNCTIONAL EEG CONNECTIVITY
Mahdis Hojjati, Shyamal Dharia, Sergio Camorlinga, Amy Desroches, Bronte Brenneman, Stephen Smith, University of Winnipeg
Mo.2.2.3: TOWARDS UBIQUITOUS EMOTION MONITORING: A PILOT STUDY ON TRANSFER LEARNING PIPELINE FOR CUSTOM IN-EAR EEG WEARABLES
Jeffrey Lin, UC Berkeley; Yichin Weng, Ting-Yun Yen, BioPro Scientific Co., Ltd.; Jun Rui Guo, Hsin Chen, National Tsing Hua University
Mo.2.2.4: Foundational Knowledge Learned from Large-Scale Physiological Data Improves Stress Detection
Tung Vuong, Keith Davis, Tuukka Ruotsalo, LUT University
Mo.2.2.5: BST-GATNET: BIDIRECTIONAL SPATIO-TEMPORAL GRAPH ATTENTION NETWORK FOR DRIVER STRESS DETECTION
Chenpei Xie, Yiting Wei, Mostafa Haghi, Nima TaheriNejad, Heidelberg University
Mo.2.2.6: SIGNAL SATURATION VERSUS ALGORITHMIC COMPLEXITY IN WEARABLE STRESS DETECTION: A SYSTEMATIC META-ANALYSIS
Dyuti Islam, Sylvia Bhattacharya, Kennesaw State University
Resources
No resources available.