Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch. Match!
Yu Yin
Northeastern University
5Publications
Publications 5
Newest
Mohsen Nabian2
Estimated H-index: 2
(NU: Northeastern University),
Yu Yin (NU: Northeastern University)+ 3 AuthorsSarah Ostadabbas10
Estimated H-index: 10
(NU: Northeastern University)
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...
Source Cite
Yu Yin , Mohsen Nabian2
Estimated H-index: 2
+ 3 AuthorsSarah Ostadabbas10
Estimated H-index: 10
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
Published on Nov 1, 2017
Mohsen Nabian2
Estimated H-index: 2
(NU: Northeastern University),
Athena Nouhi (NU: Northeastern University)+ 1 AuthorsSarah Ostadabbas10
Estimated H-index: 10
(NU: Northeastern University)
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...
Source Cite
1