The Laboratory for Mobile Sensing and Ubiquitous Computing at UMass conducts research on a variety of sensor systems, networking and data analytics for health and behavior modeling. Our focus is on building scalable, energy-efficient sensor systems through the use of heterogeneous sensor modalities and platforms for solving real-world problems.
"FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas" won the distinguished paper award at UbiComp 2021.
Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P Chapman, Deepak Ganesan, Jan Sjoquist, Tauhidur Rahman. 2021. OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 3, Article 102 (September 2021), 29 pages. https://doi.org/10.1145/3478107
Tauhidur Rahman recieved NSF Smart and Connected Health grant on opioid craving modeling and management. More information soon!
Tauhidur Rahman, Bhanu Teja Gullapalli are organizing Future of Digital Biomarkers at MobiSys'21 where they hope to bring researchers together to discuss opportunities, challenges, solutions, and next steps in developing novel mobile technologies in the context of digital biomarkers. Check out Workshop website for more details
'Contactless Human Activity Analysis' book with Tauhidur Rahman as an editor is published by Springer. The book covers sufficient grounds and depth in related challenges and advances in sensing, signal processing, computer vision, and mathematical modeling. It also covers multi-domain applications, including surveillance and elderly care that will be an asset to entry-level and practicing engineers and scientists. The book can be purchased here .
Manasa Kalanadhabhatta, Tauhidur Rahman, Deepak Ganesan. 2021. Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study. https://www.jmir.org/2021/2/e23936/
Our paper "Multimodal Smart Eyewear for Longitudinal Eye Movement Tracking" recieved media coverage in ScienceDaily , E&T , EurekAlert! of AAAS , C&EN of ACS , Neuroscience News , UMass News , and etc.
Sensing of Physiological Signals During Sleep with All-textile Eyewear. Poster
Soha Rostaminia, Seyedeh Zohreh Homayounfar, Ali Kiaghadi, Trisha Andrew, Deepak Ganesan.
Tauhidur Rahman received a grant from Intel Pandemic Response Technology Initiative to work on COVID-19 resurgence modeling with contactless syndromic signal sensing from crowds at public spaces in Western MA.
Tauhidur Rahman received NSF Smart and Connected Society planning grant on “Extreme temperature and it’s impact on human physiology, psychology and our community-level behaviors” with colleagues at UMASS, ASU and NAIST (Japan). A UMass press release on the project.
Tauhidur Rahman spoke to the Public Television for Western New England (WGBY) about our FluSense project. Link .
FluSense received an almost world-wide press coverage. Techcrunch , UMass , Daily Mail (UK), Hindustan Times (India), Science Node, Digital Trends, Masslive, Photonics, ibitimes (Singapore). Full List
Md Farhan Tasnim Oshim, Julian Killingback, Dave Follette, Huaishu Peng, Tauhidur Rahman. 2020. MechanoBeat: Monitoring Interactions with Everyday Objects using 3D Printed Harmonic Oscillators and Ultra-Wideband Radar. UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology Proceedings. https://doi.org/10.1145/3379337.3415902
Mohammad Rostami, K. Sundaresan, E. Chai, S. Rangarajan, Deepak Ganesan. 2020. Redefining Passive in Backscattering with Commodity Devices. MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and NetworkingApril 2020 Article 3, 13 Pages. https://doi.org/10.1145/3372224.3380880
Forsad Al Hossain, Andrew A. Lover, George A. Corey, Nicholas G. Reich, Tauhidur Rahman. 2020. FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 1, Article 1 (March 2020), 27 pages. https://doi.org/10.1145/3381014
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
