MoodCapture presents a novel approach that assesses depression based on images
automatically captured from the front-facing camera of smartphones as people go about their …

Abstract Background Musculoskeletal disorders (MSDs) are one of the most important
problems among young smartphone users worldwide. Portability leads to a wide variety of …

This study aimed to examine the effects of body posture, ty** style and device type on
upper limb and shoulder muscle activities, ty** performance and perceived workload …

In this article, we dedicate a handgrip-free technique, called “AcHand,” to continuously
detect respiratory rates under acoustic signals sensing via a smartphone. Although the …

Touch pointing is one of the primary interaction actions on mobile devices. In this research,
we aim to (1) model touch pointing for people with Parkinson's Disease (PD), and (2) detect …

The long time spent on smartphones in awkward postures exposes young users to the risk of
develo** musculoskeletal disorders (MSDs). This study aimed to investigate 1) how the …

Background Posture during smartphone use is an important factor that affects
musculoskeletal pain. Objective To investigate the prevalence and characteristics of …

Finger-Fitts law (FFitts law) is a model to predict touch-pointing times, modified from Fitts'
law. It considers the absolute touch-point precision, or a finger tremor factor σa, to decrease …

Browsing social media feeds in bed can reduce relationship quality, disrupt sleep, increase
anxiety, and cause physical discomfort. To provoke creative discussion around these issues …

To achieve adaptive user interfaces (UI) for smartphones, researchers have been
develo** sensing methods to detect how a user is holding a smartphone. A variety of …