A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …
individual based on the physiological and behavioral traits. These traits or identifiers are …
Review of age and gender detection methods based on handwriting analysis
Handwriting recognition and analysis has been an active area of research in the last two
decades. Handwriting analysis is being studied in various fields of science, such as …
decades. Handwriting analysis is being studied in various fields of science, such as …
Wearable multi-sensor data fusion approach for human activity recognition using machine learning algorithms
B Vidya, P Sasikumar - Sensors and Actuators A: Physical, 2022 - Elsevier
Wearable sensor based human activity recognition (HAR) has a broad range of applications
in healthcare, fitness, smart home, and surveillance. In spite of the substantial amount of …
in healthcare, fitness, smart home, and surveillance. In spite of the substantial amount of …
Using convolutional neural network and a single heartbeat for ECG biometric recognition
DA AlDuwaile, MS Islam - Entropy, 2021 - mdpi.com
The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for developing reliable authentication systems. However …
characteristics that make it suitable for developing reliable authentication systems. However …
An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection
S Mian Qaisar, SF Hussain - Journal of Ambient Intelligence and …, 2023 - Springer
The deployment of wireless health wearables is increasing in the framework of mobile
health monitoring. The power and processing efficiencies with data compression are key …
health monitoring. The power and processing efficiencies with data compression are key …
A hierarchical structure based on stacking approach for skin lesion classification
GS Ghalejoogh, HM Kordy, F Ebrahimi - Expert Systems with Applications, 2020 - Elsevier
Malignant melanoma is the most dangerous type of skin cancer. The diagnosis of melanoma
in the early stages can greatly increase the possibility of its successful treatment. In the …
in the early stages can greatly increase the possibility of its successful treatment. In the …
Cancer Classification with a Cost‐Sensitive Naive Bayes Stacking Ensemble
Y Xiong, M Ye, C Wu - Computational and Mathematical …, 2021 - Wiley Online Library
Ensemble learning combines multiple learners to perform combinatorial learning, which has
advantages of good flexibility and higher generalization performance. To achieve higher …
advantages of good flexibility and higher generalization performance. To achieve higher …
Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)
Classification of gender from images of handwriting is an interesting research problem in
computerized analysis of handwriting. The correlation between handwriting and gender of …
computerized analysis of handwriting. The correlation between handwriting and gender of …
A method for automatic classification of gender based on text-independent handwriting
Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …
Multi-sensor fusion based on multiple classifier systems for human activity identification
Multimodal sensors in healthcare applications have been increasingly researched because
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …