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Yu Yin
Northeastern University
6Publications
2H-index
13Citations
Publications 6
Newest
#1Aya Khalaf (University of Pittsburgh)H-Index: 4
#2Mohsen Nabian (NU: Northeastern University)H-Index: 4
Last.Sarah Ostadabbas (NU: Northeastern University)H-Index: 10
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Abstract Challenge and threat characterize distinct patterns of physiological response to a motivated performance task where the response patterns vary as a function of an individual's evaluation of task demands relative to his/her available resources to cope with the demands. Challenge and threat responses during motivated performance have been used to understand psychological, behavioral, and biological phenomena across many motivated performance domains. In this study, we aimed to investigate...
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#1Mohsen Nabian (NU: Northeastern University)H-Index: 4
#2Yu Yin (NU: Northeastern University)H-Index: 2
Last.Sarah Ostadabbas (NU: Northeastern University)H-Index: 10
view all 6 authors...
Electrocardiogram, electrodermal activity, electromyogram, continuous blood pressure, and impedance cardiography are among the most commonly used peripheral physiological signals (biosignals) in psychological studies and healthcare applications, including health tracking, sleep quality assessment, disease early-detection/diagnosis, and understanding human emotional and affective phenomena. This paper presents the development of a biosignal-specific processing toolbox (Bio-SP tool) for preprocess...
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In this paper, we present a multimodal approach to simultaneously analyze facial movements and several peripheral physiological signals to decode individualized affective experiences under positive and negative emotional contexts, while considering their personalized resting dynamics. We propose a person-specific recurrence network to quantify the dynamics present in the person's facial movements and physiological data. Facial movement is represented using a robust head vs. 3D face landmark loca...
2 Citations
#1Aya KhalafH-Index: 4
#2Mohsen NabianH-Index: 4
Last.Chun-An ChouH-Index: 11
view all 10 authors...
2 Citations
Although human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, yet in-bed pose estimation using camera-based vision methods has been ignored by the CV community because it is assumed to be identical to the general purpose pose estimation methods. However, in-bed pose estimation has its own specialized aspects and comes with specific challenges including the notable differences in lighting conditions throughout a day and also hav...
4 CitationsSource
#1Mohsen Nabian (NU: Northeastern University)H-Index: 4
#2Athena Nouhi (NU: Northeastern University)H-Index: 1
Last.Sarah Ostadabbas (NU: Northeastern University)H-Index: 10
view all 4 authors...
Electrocardiogram (ECG), Electrodermal Activity (EDA), Electromyogram (EMG) and Impedance Cardiography (ICG) are among physiological signals widely used in various biomedical applications including health tracking, sleep quality assessment, early disease detection/diagnosis and human affective state recognition. This paper presents the development of a biosignal-specific processing and feature extraction tool for analyzing these physiological signals according to the state-of-the-art studies rep...
2 CitationsSource
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