MOSAIC Lab @ UMass

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MOSAIC

The wireless sensor networks research group at UMass conducts research on a variety of systems, networking and data management issues in data-centric sensor networks. Our focus is on building scalable, energy-efficient sensor networks through the use of heterogeneous sensor modalities, sensor platforms and processors. Our projects are diverse and span core systems building blocks, data and network management tools and services, mathematical principles, and application of sensor networks to scientific, industrial and health-care disciplines.

Projects

Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear

W!NCE

Low-power Sensing of Fatigue and Drowsiness on a Computational Eyeglass

iLid

Leveraging Eye Structure and Motion to build a Low-Power Gaze Tracking System

iShadow - Cider

Unobtrusive Sensing of Human Behavior with Triboelectric Textiles

Tribexor

Wrist-worn Backscatter Reader for interaction measurement

WearID

On-body Sensing of Cocaine Craving, Euphoria and Drug-seeking behavior using Cardiac and Respiratory Signals

Cocaine CrEDS

A new design paradigm for ultra-low power communication which combines active and passive radios

Morpho

Clothing sensor using only textile components and requires no discrete electronics

Smart Clothing

News and Highlights

Paper accepted at UbiComp 2019

Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, and Deepak Ganesan. 2019. W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3,1,Article 23 (March 2019), 26 pages. https://doi.org/10.1145/3314410

NSF - An Embodied Intelligent Cognitive Assistant to Enhance Cognitive Performance of Shift Workers

This project develops a closed-loop embodied Intelligent Cognitive Assistant (e-ICA) to infer circadian rhythm, alertness, and stress levels and to provide personalized feedback to enhance users' cognitive ability and wellbeing in an unobtrusive and effortless manner. For details: https://www.umass.edu/newsoffice/article/umass-amherst-computer-scientists-1

Funding

Publications

2019


 

W!INCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear

Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp '19)
 

On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior using Cardiac and Respiratory Signals

Bhanu Teja Gullapalli , Annamalai Natarajan, Gustavo A. Angarita, Robert T. Malison, Deepak Ganesan, Tauhidur Rahman
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (UbiComp '19)

2017


 

iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass

Soha Rostaminia, Addison Mayberry, Benjamin Marlin, Deepak Ganesan, Jeremy Gummeson
Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '17)

2015


 

CIDER: Enabling robustness-power tradeoffs on a computational eyeglass

Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M Marlin, Christopher Salthouse
Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

2014


 

iShadow: design of a wearable, real-time mobile gaze tracker

Addison Mayberry, Pan Hu, Benjamin Marlin, Christopher Salthouse, Deepak Ganesan
Proceedings of the 12th annual international conference on Mobile systems, applications, and services

Team

Deepak Ganesan

Director

Tauhidur Rahman

Director

Soha Rostaminia

PhD Student

Ali Kiaghadi

PhD Student

Mohammad Rostami

PhD Student

Bhanu Teja Gullapalli

PhD Student

Xingda Chen

PhD Student

Alexander Lamson

MS Student

Christopher Raff

MS Student