With the advent of flexible electronics and sensing technology, hydrogel-based flexible
sensors have exhibited considerable potential across a diverse range of applications …

Various types of sensors can be used for Human Activity Recognition (HAR), and each of
them has different strengths and weaknesses. Sometimes a single sensor cannot fully …

Human gait recognition as a branch of biometric identification, has witnessed remarkable
progress in recent years, thanks to the integration of deep learning techniques. This paper …

ABSTRACT Human Gait Recognition (HGR) is referred to as a biometric tactic that is broadly
used for the recognition of an individual by using the pattern of walking. There are some key …

Abstract Human Activity Recognition (HAR) and fall detection, as applications within the field
of biomedical signal processing, are increasingly pivotal in enhancing patient care …

Smartphone sensors have gained considerable traction in Human Activity Recognition
(HAR), drawing attention for their diverse applications. Accelerometer data monitoring holds …

Gesture recognition using WiFi is vital for human–computer interaction, smart homes, smart
spaces, and elderly care. WiFi signals are non-stationary, sensitive to the environment, and …

With the continuous advancements in artificial intelligence, human activity recognition (HAR)
technologies have garnered widespread attention and found applications across diverse …

In Human Activity Recognition (HAR), a predominant assumption is that the data utilized for
training and evaluation purposes are drawn from the same distribution. It is also assumed …

This research introduces a hybrid feature extraction approach that combines Linear
Discriminant Analysis (LDA) and Multilayer Perceptron (MLP) methods to address the …