An empirical investigation of performance overhead in cross-platform mobile development frameworks

A Biørn-Hansen, C Rieger, TM Grønli… - Empirical Software …, 2020 - Springer
The heterogeneity of the leading mobile platforms in terms of user interfaces, user
experience, programming language, and ecosystem have made cross-platform …

Magneto: Covert channel between air-gapped systems and nearby smartphones via cpu-generated magnetic fields

M Guri - Future Generation Computer Systems, 2021 - Elsevier
This papers shows that attackers can leak data from isolated, air-gapped computers to
nearby smartphones via covert magnetic signals. The proposed covert channel works even …

Ear-ar: indoor acoustic augmented reality on earphones

Z Yang, YL Wei, S Shen, RR Choudhury - Proceedings of the 26th …, 2020 - dl.acm.org
This paper aims to use modern earphones as a platform for acoustic augmented reality
(AAR). We intend to play 3D audio-annotations in the user's ears as she moves and looks at …

A smartphone magnetometer-based diagnostic test for automatic contact tracing in infectious disease epidemics

S Jeong, S Kuk, H Kim - Ieee Access, 2019 - ieeexplore.ieee.org
Smartphone magnetometer readings exhibit high linear correlation when two phones
coexist within a short distance. Thus, the detected coexistence can serve as a proxy for close …

Pattern recognition techniques for the identification of activities of daily living using a mobile device accelerometer

IM Pires, G Marques, NM Garcia, F Flórez-Revuelta… - Electronics, 2020 - mdpi.com
The application of pattern recognition techniques to data collected from accelerometers
available in off-the-shelf devices, such as smartphones, allows for the automatic recognition …

Accuracy improvement of vehicle recognition by using smart device sensors

TS Pias, D Eisenberg, J Fresneda Fernandez - Sensors, 2022 - mdpi.com
This paper explores the utilization of smart device sensors for the purpose of vehicle
recognition. Currently a ubiquitous aspect of people's lives, smart devices can conveniently …

IOS crowd–sensing won't hurt a bit!: AWARE framework and sustainable study guideline for iOS platform

Y Nishiyama, D Ferreira, Y Eigen, W Sasaki… - … 2020, Held as Part of the …, 2020 - Springer
The latest smartphones have advanced sensors that allow us to recognize human and
environmental contexts. They operate primarily on Android and iOS, and can be used as …

ObscureNet: Learning attribute-invariant latent representation for anonymizing sensor data

O Hajihassnai, O Ardakanian, H Khazaei - Proceedings of the …, 2021 - dl.acm.org
In this paper, we introduce ObscureNet, an encoder-decoder architecture that effectively
conceals private attributes associated with time series data generated by sensors in IoT …

Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices

IM Pires, NM Garcia, N Pombo… - Pervasive and Mobile …, 2018 - Elsevier
Several types of sensors have been available in off-the-shelf mobile devices, including
motion, magnetic, vision, acoustic, and location sensors. This paper focuses on the fusion of …

Approach for the development of a framework for the identification of activities of daily living using sensors in mobile devices

IM Pires, NM Garcia, N Pombo, F Flórez-Revuelta… - Sensors, 2018 - mdpi.com
Sensors available on mobile devices allow the automatic identification of Activities of Daily
Living (ADL). This paper describes an approach for the creation of a framework for the …