[PDF][PDF] BodyBeat: a mobile system for sensing non-speech body sounds.

T Rahman, AT Adams, M Zhang, E Cherry, B Zhou… - MobiSys, 2014 - academia.edu
In this paper, we propose BodyBeat, a novel mobile sensing system for capturing and
recognizing a diverse range of non-speech body sounds in real-life scenarios. Non-speech …

EchoTag: Accurate infrastructure-free indoor location tagging with smartphones

YC Tung, KG Shin - Proceedings of the 21st Annual International …, 2015 - dl.acm.org
We propose a novel mobile system, called EchoTag, that enables phones to tag and
remember indoor locations without requiring any additional sensors or pre-installed …

Milift: Efficient smartwatch-based workout tracking using automatic segmentation

C Shen, BJ Ho, M Srivastava - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
The use of smartphones and wearables as sensing devices has created innumerable
context inference apps including a class of workout tracking apps. Workout data generated …

{ipShield}: A Framework For Enforcing {Context-Aware} Privacy

S Chakraborty, C Shen, KR Raghavan… - … USENIX symposium on …, 2014 - usenix.org
Smart phones are used to collect and share personal data with untrustworthy third-party
apps, often leading to data misuse and privacy violations. Unfortunately, state-of-the-art …

LEO: Scheduling sensor inference algorithms across heterogeneous mobile processors and network resources

P Georgiev, ND Lane, KK Rachuri… - Proceedings of the 22nd …, 2016 - dl.acm.org
Mobile apps that use sensors to monitor user behavior often employ resource heavy
inference algorithms that make computational offloading a common practice. However …

From conception to retirement: a lifetime story of a 3-year-old wireless beacon system in the wild

Y Ding, L Liu, Y Yang, Y Liu… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
We report a 3-year city-wide study of an operational indoor sensing system based on
Bluetooth Low Energy (BLE) called aBeacon (short for a libaba Beacon). aBeacon is pilot …

Expansion of human-phone interface by sensing structure-borne sound propagation

YC Tung, KG Shin - Proceedings of the 14th Annual International …, 2016 - dl.acm.org
ForcePhone is a novel system that enables commodity phones to recognize the force
applied to their touch screen and body. Researchers have shown the usefulness and …

EdgeSanitizer: Locally differentially private deep inference at the edge for mobile data analytics

C Xu, J Ren, L She, Y Zhang, Z Qin… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Deep neural networks have been widely applied in various machine learning applications
for mobile data analytics in cloud. However, this approach introduces significant data …

A survey on mobile social signal processing

N Palaghias, SA Hoseinitabatabaei, M Nati… - ACM Computing …, 2016 - dl.acm.org
Understanding human behavior in an automatic but nonintrusive manner is an important
area for various applications. This requires the collaboration of information technology with …

Cross-platform support for rapid development of mobile acoustic sensing applications

YC Tung, D Bui, KG Shin - Proceedings of the 16th annual international …, 2018 - dl.acm.org
LibAS is a cross-platform framework to facilitate the rapid development of mobile acoustic
sensing apps. It helps developers quickly realize their ideas by using a high-level Matlab …