During the past few decades, there has been a growing trend towards the use of
smartphone-based analysis systems. This is mainly due to its ubiquity, its increasing …

Anemia, characterized by low blood hemoglobin level, affects about 25% of the world's
population with the heaviest burden borne by women and children. Anemia leads to …

Deep neural networks show great potential as solutions to many sensing application
problems, but their excessive resource demand slows down execution time, pausing a …

In the post-covid19 era, every new wave of the pandemic causes an increased
concern/interest among the masses to learn more about their state of well-being. Therefore …

Parkinson's disease (PD) is a chronic neurodegenerative disorder resulting from the
progressive loss of dopaminergic nerve cells. People with PD usually demonstrate deficits in …

Brain health attracts more recent attention as the population ages. Smartphone-based gait
sensing and analysis can help identify the risks of brain diseases in daily life for prevention …

Background There is worldwide demand for an affordable hemoglobin measurement
solution, which is a particularly urgent need in developing countries. The smartphone, which …

Alzheimer's Disease (AD) and related dementia are a growing global health challenge due
to the aging population. In this paper, we present ADMarker, the first end-to-end system that …

The role of point-of-care (POC) diagnostics is important in public health. With the support of
smartphones, POC diagnostic technologies can be greatly improved. This opportunity has …

Mobile sensing is a promising sensing paradigm in the era of Internet of Things (IoT) that
utilizes mobile device sensors to collect sensory data about sensing targets and further …