With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

Background: Wearable technologies provide users hands-free access to computer functions
and are becoming increasingly popular on both the consumer market and in various …

Blind and Visually Impaired People (BVIP) are likely to experience difficulties with tasks that
involve scene recognition. Wearable technology has played a significant role in researching …

Mobile wearable health devices have expanded prevalent usage and become very popular
because of the valuable health monitor system. These devices provide general health tips …

Computer vision is widely used to detect anomalies in video processing systems for public
safety. Applying Deep Neural Networks (ie, DNNs) in computer vision can achieve a high …

Color vision deficiency (CVD) is an extremely frequent vision impairment that compromises
the ability to recognize colors. In order to improve color vision in a subject with CVD, we …

In this article, a new agent approach has been proposed for recognizing the research trends
in wearable systems. In addition, we have formulated a mathematical model to predict the …

JMIR mHealth and uHealth - Increasing Completion Rate and Benefits of Checklists:
Prospective Evaluation of Surgical Safety Checklists With Smart Glasses Skip to Main Content …

Deep neural network (DNN)-based video processing methods are applied in mobile video
analytics because of high accuracy. Edge computing is an efficient paradigm that improves …

Medical emergency situations happening outside a hospital require a large range of
competencies from safe transportation of a patient to his/her medical stabilization before the …