Characteristics of physical activity are indicative of one's mobility level, latent chronic
diseases and aging process. Accelerometers have been widely accepted as useful and …

Advances in mobile technology have led to the emergence of the “smartphone”, a new class
of device with more advanced connectivity features that have quickly made it a constant …

The rapid aging of the world's population, along with an increase in the prevalence of
chronic illnesses and obesity, requires adaption and modification of current healthcare …

In this paper, we present a deep learning framework “Rehab-Net” for effectively classifying
three upper limb movements of the human arm, involving extension, flexion, and rotation of …

Falls and fall related injuries are a significant cause of morbidity, disability, and health care
utilization, particularly among the age group of 65 years and over. The ability to detect falls …

Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness
monitoring and data analysis using various algorithmic techniques have been subjects of …

Miniature, wearable sensor modules are a promising technology to monitor activities of daily
living (ADL) over extended periods of time. To assure both user compliance and meaningful …

Training at the proper level of effort is important for athletes whose objective is to achieve the
best results in the least time. In running, for example, pace is often monitored. However …

Barometers are among the oldest engineered sensors. Historically, they have been primarily
used either as environmental sensors to measure the atmospheric pressure for weather …

Hypovolemia is a physiological state of reduced blood volume that can exist as either (1)
absolute hypovolemia because of a lower circulating blood (plasma) volume for a given …