|
|
|
|
|
Karly S. Franz, Grace Reszetnik and Tom Chau
Brushstroke segmentation algorithms are critical in computer-based analysis of fine motor control via handwriting, drawing, or tracing tasks. Current segmentation approaches typically rely only on one type of feature, either spatial, temporal, kinematic,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yi Zhao and Song-Kyoo Kim
This paper addresses the enhancement of modern security through the integration of electrocardiograms (ECGs) into biometric authentication systems. As technology advances, the demand for reliable identity authentication systems has grown, given the rise ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nafisa Anjum, Khaleda Akhter Sathi, Md. Azad Hossain and M. Ali Akber Dewan
By using computer-aided arrhythmia diagnosis tools, electrocardiogram (ECG) signal plays a vital role in lowering the fatality rate associated with cardiovascular diseases (CVDs) and providing information about the patient?s cardiac health to the special...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olena Pavliuk, Myroslav Mishchuk and Christine Strauss
Over the last few years, human activity recognition (HAR) has drawn increasing interest from the scientific community. This attention is mainly attributable to the proliferation of wearable sensors and the expanding role of HAR in such fields as healthca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenlin Wu, Lin Zhang, Shaoshuai Han, Di Lian, Tongfei Wu, Wenjie Chu, Haoyu Li, Lei Guo, Mingshan Zhao and Xin Yang
In recent years, millimeter-wave communication has played a crucial role in satellite communication, 5G, and even 6G applications. The millimeter-wave electro-optic modulator is capable of receiving and processing millimeter-wave signals effectively. How...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hany Ferdinando, Eveliina Seppälä and Teemu Myllylä
Measuring cardiac activity from the chest using an accelerometer is commonly referred to as seismocardiography. Unfortunately, it cannot provide clinically valid data because it is easily corrupted by motion artefacts. This paper proposes two methods to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rania Alhalaseh and Suzan Alasasfeh
Many scientific studies have been concerned with building an automatic system to recognize emotions, and building such systems usually relies on brain signals. These studies have shown that brain signals can be used to classify many emotional states. Thi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alaa Alqatawneh, Rania Alhalaseh, Ahmad Hassanat and Mohammad Abbadi
In this paper, an efficient, accurate, and nonparametric epilepsy detection and classification approach based on electroencephalogram (EEG) signals is proposed. The proposed approach mainly depends on a feature extraction process that is conducted using ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Trung Duy Pham,Dat Tran,Wanli Ma
In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been prove...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bor-Shing Lin and Tian-Shiue Yen
Wheezing is often treated as a crucial indicator in the diagnosis of obstructive pulmonary diseases. A rapid wheezing detection system may help physicians to monitor patients over the long-term. In this study, a portable wheezing detection system based o...
ver más
|
|
|
|
|
|