Smart and unobtrusive mobile sensor nodes that accurately track their own position have the
potential to augment data collection with location-based functions. To attain this vision of …

Wearable devices that integrate multiple sensors, processors, and communication
technologies have the potential to transform mobile health for remote monitoring of health …

Motion energy harvesting is an ideal alternative to battery in wearable applications since it
can produce energy on demand. So far, widespread use of this technology has been …

Recent advancements in low-power electronics and machine-learning techniques have
paved the way for innovative wearable IoT devices. However, these devices suffer from …

Wearable and Internet of Things devices (IoT) are becoming ubiquitous in health
applications, such as movement disorders, rehabilitation, and activity monitoring. Wearable …

Internet of things (IoT) devices are popular in several high-impact applications such as
mobile healthcare and digital agriculture. However, IoT devices have limited operating …

Recent advances in machine learning algorithms (ML) and low-power edge devices enable
novel wearable applications. Embedded machine learning organically combines these …

Continuous monitoring of areas nearby the electric grid is critical for preventing and early
detection of devastating wildfires. Existing wildfire monitoring systems are intermittent and …

Energy harvesting wireless sensor nodes collect energy in a nonlinear dynamic change,
resulting in low ability to dynamically match the collected and consumed energy of the node …

Energy harvesting (EH) and management (EM) have emerged as enablers of self-sustained
wearable devices. Since EH alone is not sufficient for self-sustainability due to uncertainties …