HOTMOBILE

Interactive mobile applications like web browsing and gaming are known to benefit significantly from low latency networking, as applications communicate with cloud servers and other users' devices. Emerging mobile channel standards have not met these ...

Trends like softwarization through the usage of flexible Software-defined Radio (SDR) platforms together with the usage of Machine Learning (ML) techniques are key enablers for building and running future high-performance communication networks in a ...

On-device machine learning is becoming a reality thanks to the availability of powerful hardware and model compression techniques. Typically, these models are pretrained on large GPU clusters and have enough parameters to generalise across a wide ...

This position paper examines a spectrum of approaches to overcoming the limited computing power of mobile devices caused by their need to be small, lightweight and energy efficient. At one extreme is offloading of compute-intensive operations to a ...

Successful meetings create a safe environment for contribution; one that attendees feel engaged in and part of. Previous research has shown that meetings success depends not only on execution, but also on whether attendees feel psychologically safe. ...

Modern mobile devices, although resourceful, cannot train state-of-the-art machine learning models without the assistance of servers, which require access to, potentially, privacy-sensitive user data. Split learning has recently emerged as a promising ...

This paper explores a new wearable system, called JawSense, that enables a novel form of human-computer interaction based on unvoiced jaw movement tracking. JawSense allows its user to interact with computing machine just by moving their jaw. We study ...

Inertial measurement units (IMUs) afford the problem of localisation unique advantages owing to their independence of costly deployment and calibration efforts. However, IMU models have traditionally suffered from excessive drifts that have limited ...

The need for on-device real-time Deep Learning inference is increasing as deep learning on edge devices such as smartphones and robots are becoming popular. Although hardware acceleration on NPU is attracting more attention, the recent mobile GPUs are ...

This paper explores the CO2 footprint of IoT applications by using system dynamics modeling to estimate the CO2 emissions over time from a wireless video analytics application. We model the impact of the application design and the mobile infrastructure ...

Users in developing regions still suffer from poor web performance, mainly due to their unique landscape of low-end devices. In this paper, we uncover a root cause of this suboptimal performance by cross-analyzing longitudinal resource (in particular, ...

Autonomous vehicles are predicted to dominate the transportation industry in the foreseeable future. Safety is one of the major challenges to the early deployment of self-driving systems. To ensure safety, self-driving vehicles must sense and detect ...

We explore the design of a platform to support truly mobile and untethered, wideband spectrum sensing. First, the design of the platform needs to be physically small and lightweight. Next, we observe that wideband spectrum sensing (say >20 MHz at a time)...

We present Look&Lock: a novel ubiquitous system that utilizes BLE communication between smart appliances in the environment and earables worn by the user to track head orientation and determine which device she is looking at. By harnessing this ...

Tribal communities have experienced disproportionately high infection and death rates during the COVID-19 pandemic [1, 8, 31]. In this work, we examine COVID-19 case growth in proximity to significant tribal presence by providing a novel quantification ...

Volumetric videos allow viewers to exercise 6-DoF (degrees of freedom) movement when consuming fully 3D content (e.g., point clouds). Due to their truly immersive nature, streaming volumetric videos is highly bandwidth-demanding. In this work, we ...

Mobile web browsing remains slow despite many efforts to accelerate page loads. Like others, we find that client-side computation (in particular, JavaScript execution) is a key culprit. Prior solutions to mitigate computation overheads, however, suffer ...

To support faster and more efficient networks, mobile operators and service providers are bringing 5G millimeter wave (mmWave) networks indoors. However, due to their high directionality, mmWave links are extremely vulnerable to blockage by walls and ...

Motivated by the desire to reduce wiring costs in building occupancy monitoring systems, we explore the feasibility of waking a sensor node precisely when an event of interest occurs. We realize this through the use of piezoelectric devices that can be ...

Head-worn displays (HWDs) are an efficient and cost-effective means to guide users in order picking, a task that requires users to alternate their attention between the physical environment and the HWD's virtual image. After training 12 participants to ...

Despite decades of research on mobile webpage optimizations, little is known about how these optimizations interoperate. Moreover, there has been little systematic work to understand the scenarios wherein combinations of these optimizations excel. ...

This position paper argues that earphones hold the potential for major disruptions in mobile, wearable computing. The early signs are positive and the industrial wheels are in motion. However, whether earphones truly become a disruptive new platform, or ...

Numerous cloud service providers (CSPs) have developed IoT gateways and devices that connect IoT devices solely to their respective clouds. We term these gateways cloud-centric. In this paper, we propose an alternative, edge-centric approach to ...

We propose Monitoring My Dehydration (MMD), a novel context-aware real-time Android-based tool that can instantly detect human dehydration level by utilizing wearable Electrodermal Activity (EDA) sensors in conjunction with signal processing and machine ...

In this poster, we present the potential of extending 6Fit-a-Part, our recently proposed physical distancing platform, to enable interactive physical games in school campuses despite COVID-19 restrictions. To minimize the risk of infection, traditional ...

This poster proposes an Ultra-wideband localization scheme for the smart key system based on a machine learning approach. Previous studies try to use the channel impulse response measurement and apply machine learning to improve the localization ...

In this work, we present ACC (Adaptive-yet-Compatible Compression), one enabling technique for real-time drone-sourced edge-assisted video analytics built on top of the existing codec. ACC tackles an important technical problem to compress streamed ...