Convolutional Neural Networks (CNNs) are successful deep learning models in the field of
computer vision. To get the maximum advantage of CNN model for Human Action …

Gait analysis has been recognized as an efficient method to help realize human activity
recognition; however, there is currently no existing review study focused on wearable activity …

One of the major reasons for misclassification of multiplex actions during action recognition
is the unavailability of complementary features that provide the semantic information about …

Human activity recognition is an important technology in pervasive computing as it provides
valuable information for smart healthcare and assisted living applications. Use of …

Human Activity Recognition (HAR) is widely used in many applications and HAR using
smartphone only has been proved to be effective, flexible and unobtrusive for activity …

Human activity recognition based on smart phones has been widely used in many fields
including the mobile context awareness and inertial positioning. Compared to the activity …

The diversity in the phone placements of different mobile users' dailylife increases the
difficulty of recognizing human activities by using mobile phone accelerometer data. To …

The smartphone-based human activity recognition method is helpful in the context
awareness, health monitoring and inertial positioning. Comparing with the traditional …

Dense matching plays an important role for 3D scene reconstruction. A simple rectified
algorithm is given in this paper. Then the new matching algorithm starts from GCPS as …

1.1 Background The ubiquitous-ness of technologies and the vast development that took
place all over the world during the last few decades to meet new needs forced technologies …