We developed Emojive!, a mobile game app to make emotion recognition from audio and image interactive and fun, motivating the users to play with the app. The game is to act out a specific emotion, among six emotion labels (happy, sad, anger, anxiety, loneliness, criticism), given by the system. Double player mode lets two people to compete their acting skills. The more users play the game, the ...

PURPOSE To investigate the relationship between MR image contrast associated with beta-amyloid (Abeta) plaques and their histology and compare the histopathological basis of image contrast and the relaxation mechanism associated with Abeta plaques in human Alzheimer's disease (AD) and transgenic APP/PS1 mouse tissues. MATERIALS AND METHODS With the aid of the previously developed histological...

In unconscious patients, pupillary light reflex is an indicator of brain damage. In the current study, a smartphone application was developed for the purpose of measuring pupillary light reflex with an aim to determine the agreement between pupillary light reflex measurements using a smartphone application (APP) and a penlight (PEN). The APP acquires five sequential photographs using the camera...

Smartphones are increasingly involved in cyber and real world crime investigations. In this paper, we demonstrate a powerful smartphone memory forensics technique, called RetroScope, which recovers multiple previous screens of an Android app — in the order they were displayed — from the phone’s memory image. Different from traditional memory forensics, RetroScope enables spatial-temporal forens...

Background Health apps are a booming, yet under-regulated market, with potential consumer harms in privacy and health safety. Regulation of the health app market tends to be siloed, with no single sector holding comprehensive oversight. We sought to explore this phenomenon by critically analysing how the problem of health app regulation is being presented and addressed in the policy arena...

Transform approximations are explored for speeding up the software compression of images and video. Approximations are used to replace the regular discrete cosine transform (DCT) whenever only a few DCT coefficients are actually encoded. We employ a novel hierarchical vector quantization (HVQ)-based image analyzer to drive a bank of coders, thus switching to the fastest coder depending on the i...