The phenomenon of reduced athletic performance following sustained, intense training
(Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although …

Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

Wearable sensors-based gait recognition is an effective method to recognize people's
identity by recognizing the unique way they walk. Recently, the adoption of deep learning …

Abstract Machine Learning (ML), or the ability of self‐learning computer algorithms to
autonomously structure and interpret data, is a methodological approach to solve …

Gait recognition with wearable sensors is an effective approach to identifying people by
recognizing their distinctive walking patterns. Deep learning-based networks have recently …

As a novelist and the most secure biometric method, finger vein recognition has gained
substantial significance and various pertinent researches have been reported in literature …

Internet-connected smart devices in, on, and around us,(eg, embedded devices, wearable
devices, and smart sensors) can collect human biometric features and facilitate identity …

Abstract Machine learning (ML) and cloud computing are two subjects that mix very well.
The existence of cloud computing enables data scientists to create their machine learning …

Biometric technology has drawn increasing attention and significance importance in recent
years. In biometric security systems, personal identification and verification rely on their …

An electroencephalogram (EEG) is a measurement that reflects the overall electrical activity
in the brain. EEG signals are effective for biometric authentication and robust against …