Poster: SmartScale: Your Pocket-Sized Weight Estimator Powered by Your Smartphone

M Elbestar, H Rizk, M Youssef - Proceedings of the 22nd Annual …, 2024 - dl.acm.org
Smartphones have seamlessly integrated into our lives, serving as versatile tools for myriad
tasks. Leveraging their ubiquitous presence and advanced sensors, recent research aims to …

From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement

H Rizk, M Elbestar, M Youssef - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Mobile technologies, particularly smartphones, have become integral to human life,
influencing nearly every aspect of daily activities. Their ubiquity and advanced capabilities …

VibroScale: Turning your smartphone into a weighing scale

S Zhang, Q Xu, S Sen, N Alshurafa - … of the 2020 ACM International Joint …, 2020 - dl.acm.org
Smartphones, with their ubiquity and plethora of embedded sensors enable on-the-go
measurement. Here, we describe one novel measurement potential, weight measurement …

Rulers on Our Arms: Waving to Measure Object Size through Contactless Sensing

Y Liu, Y Jiang, Z Li, J Wang - ACM Transactions on Sensor Networks …, 2019 - dl.acm.org
In this article, we propose a mobile system, Aware, which turns our wearable or mobile
device into a ruler. It can estimate the size of objects that could be large in size and not …

Neat: A novel energy analysis toolkit for free-roaming smartphones

N Brouwers, M Zuniga, K Langendoen - … of the 12th ACM conference on …, 2014 - dl.acm.org
Analyzing the power consumption of smartphones is difficult because of the complex
interplay between soft-and hardware. Currently, researchers rely on mainly two options …

User's Height Estimation based on Acceleration from Smartphone Sensors

Y Sato, S Yamaguchi, T Kamiyama… - … -Taiwan (ICCE-TW), 2019 - ieeexplore.ieee.org
The recent advance of machine learning enabled a variety of estimation data from sensors.
In this study, we investigate estimation of the heights of the users of smartphones from the …

[PDF][PDF] Understanding and reducing smartphone energy consumption

A Carroll - 2017 - trustworthy.systems
Modern smartphones are increasingly performant and feature-rich, but because they are
battery powered, remain highly power-constrained. Energy management is the art and …

PowerForecaster: Predicting smartphone power impact of continuous sensing applications at pre-installation time

C Min, Y Lee, C Yoo, S Kang, S Choi, P Park… - Proceedings of the 13th …, 2015 - dl.acm.org
Today's smartphone application (hereinafter'app') markets miss a key piece of information,
power consumption of apps. This causes a severe problem for continuous sensing apps as …

TIDE: A user-centric tool for identifying energy hungry applications on smartphones

TA Dao, I Singh, HV Madhyastha… - IEEE/ACM …, 2017 - ieeexplore.ieee.org
Today, many smartphone users are unaware of what applications (apps) they should stop
using to prevent their battery from running out quickly. The problem is identifying such apps …

Inferring Phone Location State

S Chen, W Park, J Yang… - 2018 14th International …, 2018 - ieeexplore.ieee.org
Smartphone sensors are becoming more universal and more accurate. In this paper, we aim
to distinguish between four common positions or states a phone can be in: in the hand …