30 citations · 39 across the 7 of their papers we have counts for
7 papers
Real-time Range-Angle Estimation and Tag Localization for Multi-static Backscatter Systems
Tara Esmaeilbeig, Kartik Patel, Traian E. Abrudan +3
Multi-static backscatter networks (BNs) are strong candidates for joint communication and localization in the ambient IoT paradigm for 6G. Enabling real-time localization in large-…
Analyzing the Scalability of Bi-static Backscatter Networks for Large Scale Applications
Kartik Patel, Junbo Zhang, John Kimionis +3
Backscatter radio is a promising technology for low-cost and low-power Internet-of-Things (IoT) networks. The conventional monostatic backscatter radio is constrained by its limite…
The Patchkeeper: An Integrated Wearable Electronic Stethoscope with Multiple Sensors
Hongwei Li, Zoran Radivojevic, Maja Hedlund +2
Many parts of human body generate internal sound during biological processes, which are rich sources of information for understanding health and wellbeing. Despite a long history o…
Quantified Canine: Inferring Dog Personality From Wearables
Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic +3
Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on expe…
Natural Typing Recognition via Surface Electromyography
Michael S. Crouch, Mingde Zheng, Michael S. Eggleston
By using a computer keyboard as a finger recording device, we construct the largest existing dataset for gesture recognition via surface electromyography (sEMG), and use deep learn…
ComFeel: Productivity is a Matter of the Senses Too
Marios Constantinides, Sanja Šćepanović, Daniele Quercia +3
Indoor environmental quality has been found to impact employees' productivity in the long run, yet it is unclear its meeting-level impact in the short term. We studied the relation…
Surface Electromyography as a Natural Human-Machine Interface: A Review
Mingde Zheng, Michael S. Crouch, Michael S. Eggleston
Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular potentials generated when the brain instructs the body to perform both fine and coarse locomotio…