With the increasing demands on quality healthcare and the raising cost of care, pervasive
healthcare is considered as a technological solutions to address the global health issues. In …

Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Healthcare system is rapidly transitioning from a traditional health-center and specialist-
focused model to a more scattered, patient-centric model. Medical Internet of Things (MIoT) …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

The healthcare industry is experiencing a transformative impact from the Internet of Things
(IoT) revolution, characterized by technological advancements, enhanced economic …

Background: As commercially available activity trackers are being utilized in clinical trials,
the research community remains uncertain about reliability of the trackers, particularly in …

Wearable technologies play a central role in human-centered Internet-of-Things
applications. Wearables leverage machine learning algorithms to detect events of interest …

Those who survive the initial incidence of a stroke experience impacts on daily function. As a
part of the rehabilitation process, it is essential for clinicians to monitor patients' health status …

Mobile and wearable devices now have a greater capability of sensing human activity
ubiquitously and unobtrusively through advancements in miniaturization and sensing …

Activity recognition, as an important component of behavioral monitoring and intervention,
has attracted enormous attention, especially in Mobile Cloud Computing (MCC) and Remote …