Emotion recognition from gait analyses: Current research and future directions

S Xu, J Fang, X Hu, E Ngai, W Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Exploiting one-dimensional exponential Chebyshev chaotic map and matching embedding for visually meaningful image encryption

G Long, X Chai, Z Gan, D Jiang, X He, M Sun - Chaos, Solitons & Fractals, 2023 - Elsevier
As a result of their prominent initial value sensitivity, pseudo-randomness, and
unpredictability nature, chaotic maps are widely used in multimedia security. However, the …

Internet of Things for Emotion Care: Advances, Applications, and Challenges

X Xu, C Fu, D Camacho, JH Park, J Chen - Cognitive Computation, 2024 - Springer
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 …

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 …

[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 …

Real-time cloud-based patient-centric monitoring using computational health systems

C Chakraborty, A Kishor - IEEE transactions on computational …, 2022 - ieeexplore.ieee.org
In many sectors, including healthcare services, Internet of Things (IoT) systems are growing
rapidly, providing promising technological, economical, and social potential. Healthcare …

Deep learning models for arrhythmia detection in IoT healthcare applications

M Hammad, AA Abd El-Latif, A Hussain… - Computers and …, 2022 - Elsevier
In this paper, novel convolutional neural network (CNN) and convolutional long short-term
(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

J Karhade, S Dash, SK Ghosh, DK Dash… - ieee transactions on …, 2022 - ieeexplore.ieee.org
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 …

A robust deep learning framework based on spectrograms for heart sound classification

J Chen, Z Guo, X Xu, L Zhang, Y Teng… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Heart sound analysis plays an important role in early detecting heart disease. However,
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

M Gong, X Chai, Y Lu, Y Zhang - IEEE Transactions on Circuits …, 2024 - ieeexplore.ieee.org
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 …