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Emotion recognition from gait analyses: Current research and future directions
Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …
identify the walker by either human observers or computers. Recent studies reveal that gait …
Exploiting one-dimensional exponential Chebyshev chaotic map and matching embedding for visually meaningful image encryption
As a result of their prominent initial value sensitivity, pseudo-randomness, and
unpredictability nature, chaotic maps are widely used in multimedia security. However, the …
unpredictability nature, chaotic maps are widely used in multimedia security. However, the …
Internet of Things for Emotion Care: Advances, Applications, and Challenges
Emotion is a cognitive state that occurs in humans with external stimulation [1]. In recent
years, psychological-related illnesses and mental health challenges have arisen due to …
years, psychological-related illnesses and mental health challenges have arisen due to …
Trial selection tensor canonical correlation analysis (TSTCCA) for depression recognition with facial expression and pupil diameter
M Yang, Y Wu, Y Tao, X Hu, B Hu - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Facial expressions have been widely used for depression recognition because it is intuitive
and convenient to access. Pupil diameter contains rich emotional information that is already …
and convenient to access. Pupil diameter contains rich emotional information that is already …
[HTML][HTML] Double image encryption algorithm based on compressive sensing and elliptic curve
G Ye, M Liu, M Wu - Alexandria engineering journal, 2022 - Elsevier
A new improved three-dimensional continuous chaotic system (ImproBsys) is designed in
this paper. It can achieve from an ordinary chaotic state to a hyperchaotic state, that is …
this paper. It can achieve from an ordinary chaotic state to a hyperchaotic state, that is …
Real-time cloud-based patient-centric monitoring using computational health systems
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing
rapidly, providing promising technological, economical, and social potential. Healthcare …
rapidly, providing promising technological, economical, and social potential. Healthcare …
Deep learning models for arrhythmia detection in IoT healthcare applications
In this paper, novel convolutional neural network (CNN) and convolutional long short-term
(ConvLSTM) deep learning models (DLMs) are presented for automatic detection of …
(ConvLSTM) deep learning models (DLMs) are presented for automatic detection of …
Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals
The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
A robust deep learning framework based on spectrograms for heart sound classification
Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …
manual detection requires doctors with extensive clinical experience, which increases …
Exploiting four-dimensional chaotic systems with dissipation and optimized logical operations for secure image compression and encryption
In this paper, a new four-dimensional chaotic system derived from the continuous Hopfield
neural network (CHNN) model is designed, and the weight parameters are optimized to …
neural network (CHNN) model is designed, and the weight parameters are optimized to …