With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …

Extracting robust features from surface electromyogram (sEMG) for accurate pattern
recognition is a central research topic in biomechanics and human-machine interaction …

Measuring the physical, physiological, behavioral, or chemical characteristics of an
individual as biometrics for personal identification has attracted increasing attention in smart …

Recently, electromyogram (EMG) has been proposed for addressing some key limitations of
current biometrics. Wrist-worn wearable sensors can provide a non-invasive method for …

Multi-stream signals are increasingly being used in robot-assisted rehabilitation training,
where the timely and accurate prediction of a patient's motor intentions is frequently required …

With massive data collected in Internet of Things (IoT)-based smart environment, improving
privacy preservation via client verification and identification is crucial. Surface …

This paper has designed and implemented a secure face recognition system using novel
Bio-Cryptographic template protection schemes. The implementation of the proposed …

Electromyography (EMG) with individually unique characteristics, has emerged as a
promising biometric trait. The capability to further encrypt EMG biometric patterns via distinct …

Biometric scripts are required to be adaptable and robust for differentiating human input for
preventing forging. However, based on the individual biometrics system's functionality, the …

The purpose of this study is to use behavioral biometric features of bioelectric signals for
classifying and identifying people. This paper describes the development of a high …