The aim of this study is to review academic papers on the applications of smart glasses.
Among 82 surveyed papers, 57 were selected through filtering. The papers were published …

Glimpse is a continuous, real-time object recognition system for camera-equipped mobile
devices. Glimpse captures full-motion video, locates objects of interest, recognizes and …

We consider applying computer vision to video on cloud-backed mobile devices using Deep
Neural Networks (DNNs). The computational demands of DNNs are high enough that …

Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

We have recently witnessed the emergence of RF-based indoor localization systems that
can track user motion without requiring the user to hold or wear any device. These systems …

This paper focuses on COSMOS-Cloud enhanced Open Software defined MObile wireless
testbed for city-Scale deployment. The COSMOS testbed is being deployed in West Harlem …

Detecting and reacting to user behavior and ambient context are core elements of many
emerging mobile sensing and Internet-of-Things (IoT) applications. However, extracting …

Wearable devices with built-in cameras present interesting opportunities for users to capture
various aspects of their daily life and are potentially also useful in supporting users with low …

We present Travi-Navi-a vision-guided navigation system that enables a self-motivated user
to easily bootstrap and deploy indoor navigation services, without comprehensive indoor …

In this paper, we conduct a reality check for Augmented Reality (AR) on mobile devices. We
dissect and measure the cloud-offloading feature for computation-intensive visual tasks of …