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Heart Abnormality Detection from Heart Sound Signals using MFCC Feature and Dual Stream Attention Based Network
In this paper we propose a novel deep learning based dual stream network with attention mechanism that uses both the raw heart sound signal and the MFCC features to detect abnormality in heart condition of a patient.
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
In comparison to a single-stream network, the proposed two-stream method achieves an absolute improvement of $14. 366\%$ and $10. 324\%$ for averaged F1 score and accuracy, respectively, when average results are compared for three different frame sizes $224\times224$, $112\times112$, and $64\times64$.
Privacy-Aware Activity Classification from First Person Office Videos
In the advent of wearable body-cameras, human activity classification from First-Person Videos (FPV) has become a topic of increasing importance for various applications, including in life-logging, law-enforcement, sports, workplace, and healthcare.
