Recent developments in modeling, imaging, and monitoring of cardiovascular diseases using machine learning

H Moradi, A Al-Hourani, G Concilia, F Khoshmanesh… - Biophysical …, 2023 - Springer
Cardiovascular diseases are the leading cause of mortality, morbidity, and hospitalization
around the world. Recent technological advances have facilitated analyzing, visualizing …

An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder

SK Singh, A Chaturvedi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Handwriting is essential for the development of fine motor skills in children. Handwritten
character recognition has the potential to facilitate natural human–machine interactions …

UWB-Based AOA Indoor Position-Tracking System and Data Processing Algorithm

CM Zhong, RH Lin, HL Zhu, YH Lin… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
A position tracking system and data processing algorithm based on the angle of arrival
(AOA) are innovatively proposed to reduce the system's static error and filter abnormal data …

New application: A hand air writing system based on radar dual view sequential feature fusion idea

Y Zhao, T Liu, X Feng, Z Zhao, W Cui, Y Fan - Remote Sensing, 2022 - mdpi.com
In recent years, non-contact human–computer interactions have aroused much attention. In
this paper, we mainly propose a dual view observation system based on the frontal and side …

Gesture-ProxylessNAS: A lightweight network for mid-air gesture recognition based on UWB radar

L Qiao, Z Li, B **ao, Y Shu, W Li… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Hand gesture recognition with radar sensors is essential because they can detect gestures
despite environmental factors like lighting, dust, and complex backgrounds. Considering the …

In-air handwriting system based on multi-scale channel attention network and monocular vision

X Qu, M Ye, W Zhao - Applied Soft Computing, 2024 - Elsevier
In-air handwriting based on a monocular camera is an innovative and promising modality for
human–computer interaction, offering a plethora of potential applications. However, existing …

Multi-class confidence detection using deep learning approach

A Mujahid, M Aslam, MUG Khan… - Applied Sciences, 2023 - mdpi.com
The advancement of both the fields of Computer Vision (CV) and Artificial Neural Networks
(ANNs) has enabled the development of effective automatic systems for analyzing human …

Letter and Person Recognition in Freeform Air-Writing using Machine Learning Algorithms

H Kunt, Z Yetgin, F Gozukara, T Celik - IEEE Access, 2025 - ieeexplore.ieee.org
Air-writing is an emerging form of human-computer interaction that enables text entry
through hand movements in the air. This paper explores air-writing-based person …

Sensing, Tracking and Recognition of Macro-Micro Hand Gestures using Interferometric MIMO Radar

X Wang, H Liu, X Wang, VC Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the past decades, radar-based hand gesture recognition (HGR) has gained increased
attention in several applications involving contactless human-computer interaction (HCI). In …

mmDigit: A Real-Time Digit Recognition Framework in Air-Writing Using FMCW Radar

J Tian, Y Zou, J Lai, F Liu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar sensors show significant promise in non-contact human-
computer interaction. Using air-writing as a substitute for conventional input devices such as …