Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

The new and groundbreaking real-time remote healthcare monitoring system on sensor-
based mobile health (mHealth) authentication in telemedicine has considerably bounded …

A convolutional neural network model for gait identification in the sensor domain with
multiple feature extraction blocks (MFEBP) is proposed, using Residual Block and Squeeze …

Smartwatches, which contain an accelerometer and gyroscope, have recently been used to
implement gait/activity-based biometrics. However, many research questions have not been …

The ownership of user actions in computer and mobile applications is an important concern,
especially when using shared devices. User identification using physical biometric …

Gait, as a kind of biological feature, has a profound value in personnel identification. This
paper analyzes gait characteristics based on acceleration sensors of smart phones and …

We address the secure pairing of mobile devices based on accelerometer data under
various transportation environments, eg, train, tram, car, bike, walking, etc. As users …

Smartphones are a vital technology, they improve our social interactions, provide us a great
deal of information, and bring forth the means to control various emerging technologies, like …

User authentication is often regarded as the “gatekeeper” of cyber security. It has, however,
long suffered from significant usability issues that have resulted in research focussing upon …

Fingerprinting smartphones using their accelerometers has several applications, including
activity recognition, driving style classification and device to device authentication. In this …