The ever-growing computation and storage capability of mobile phones have given rise to mobile-centric context recognition systems, which are able to sense and analyze the context …
X Zheng, MKO Lee - Computers in Human Behavior, 2016 - Elsevier
While pervasive technologies, such as mobile social networking sites (SNS), can contribute to increased enjoyment and convenience, their pervasive nature can also result in excessive …
As most mobile applications are tailored for worldwide consumption, it is a significant challenge to develop applications that satisfy individuals with various cultural backgrounds …
We present a prototype mobile phone application that implements a novel transportation mode detection algorithm. The application is designed to run in the background, and …
The environmental context of a mobile device determines how it is used and how the device can optimize operations for greater efficiency and usability. We consider the problem of …
Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental health based on physiology and behavior patterns. Along with sensing features directly …
W Gomaa, MA Khamis - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum in recent years both in research and industrial applications. From the abstract perspective …
Abstract In the Big Data era, context-aware mobile recommender systems are crucial in assisting citizens and tourists in making informed decisions, providing a suitable way for …
X Zhou, W Yu, WC Sullivan - Computers, Environment and Urban Systems, 2016 - Elsevier
Abstract Smartphones with embedded Global Positioning Systems (GPS) sensors and accelerometers provide outstanding opportunities to gather information about transportation …