In the field of machine intelligence and ubiquitous computing, there has been a growing
interest in human activity recognition using wearable sensors. Over the past few decades …

Objective To avoid deviation caused by the traditional scale method, the present study
explored the accuracy, advantages, and disadvantages of different objective detection …

Tomato leaf diseases significantly impact crop production, necessitating early detection for
sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying …

Bicycles are an ecofriendly mode of transportation, and cycling offers physical and mental
well-being. However, their increased use has resulted in frequent bicycle–human accidents …

Human interaction has always been a critical aspect of social communication. Human action
tracking and human behavior recognition are all indicators that assist in investigating human …

Trials for therapies after an upper limb amputation (ULA) require a focus on the real-world
use of the upper limb prosthesis. In this paper, we extend a novel method for identifying …

Human verification and activity analysis (HVAA) are primarily employed to observe, track,
and monitor human motion patterns using redgreen-blue (RGB) images and videos …

Inertial measurement unit (IMU) technology has gained popularity in human activity
recognition (HAR) due to its ability to identify human activity by measuring acceleration …

Objective To investigate the differences and regularity of gait and muscle activation
characteristics parameters in the Locomotion Dysfunction Grade (LDG) scale assessment in …

With the rapid advancement of wearable devices, Human Activities Recognition (HAR)
based on these devices has emerged as a prominent research field. The objective of this …