Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Sudden spurting of Corona virus disease (COVID-19) has put the whole healthcare system
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …

Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient
devices and systems are extremely valuable across a broad range of application domains …

Feature extraction is crucial for human activity recognition (HAR) using body-worn
movement sensors. Recently, learned representations have been used successfully, offering …

In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

The widespread adoption of wearable devices has led to a surge in the development of multi-
device wearable human activity recognition (WHAR) systems. Nevertheless, the …

The COVID-19 pandemic has dramatically increased the use of face masks across the
world. Aside from physical distancing, they are among the most effective protection for …

Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

The high power consumption of inertial activity sensors limits the battery lifetime of today's
wearable devices. Recent studies promise to extend the lifetime of wearable devices by …

The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …