Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

As smartphone penetration saturates, we are witnessing a new trend in personal mobile
devices-wearable mobile devices or simply wearables as it is often called. Wearables come …

Breakthroughs from the field of deep learning are radically changing how sensor data are
interpreted to extract the high-level information needed by mobile apps. It is critical that the …

We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features
to continuously authenticate smartphone users. HMOG features unobtrusively capture subtle …

Mobile devices and technologies have become increasingly popular, offering comparable
storage and computational capabilities to desktop computers allowing users to store and …

Microphones are remarkably powerful sensors of human behavior and context. However,
audio sensing is highly susceptible to wild fluctuations in accuracy when used in diverse …

Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

We report a first-of-its-kind smartphone software system, MoodScope, which infers the mood
of its user based on how the smartphone is used. Compared to smartphone sensors that …

Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-
aware as sensing, networking, and processing capabilities advance. These devices provide …

Stress can have long term adverse effects on individuals' physical and mental well-being.
Changes in the speech production process is one of many physiological changes that …