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05/20/2022
A Survey on Physiological Signal Based Emotion Recognition
Physiological Signals are the most reliable form of signals for emotion ...
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08/01/2021
A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System
Modern smart grid systems are heavily dependent on Information and Commu...
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07/21/2021
ECG Heartbeat Classification Using Multimodal Fusion
Electrocardiogram (ECG) is an authoritative source to diagnose and count...
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07/09/2021
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
ECG is an attractive option to assess stress in serious Virtual Reality ...
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05/28/2021
ECG Heart-beat Classification Using Multimodal Image Fusion
In this paper, we present a novel Image Fusion Model (IFM) for ECG heart...
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05/28/2021
Inertial Sensor Data To Image Encoding For Human Action Recognition
Convolutional Neural Networks (CNNs) are successful deep learning models...
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10/29/2020
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors
Convolutional Neural Network (CNN) provides leverage to extract and fuse...
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08/22/2020
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors
One of the major reasons for misclassification of multiplex actions duri...
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08/22/2020
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data
This paper attempts at improving the accuracy of Human Action Recognitio...
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08/12/2020
Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal
Stress analysis and assessment of affective states of mind using ECG as ...
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02/25/2020
Dataset of raw and pre-processed speech signals, Mel Frequency Cepstral Coefficients of Speech and Heart Rate measurements
Heart rate is an important vital sign used in the diagnosis of many medi...
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10/25/2019
