Demo Data from VLDB 2026 / reviewers in the wild / expert
Pravin Pillai
dblp:279/2812
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 33% Wearable and physiological sensing · 33% Ubiquitous computing and smart environments · 33% | |
| Artificial intelligence
1 paper |
Face, body and person analysis · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › biosignal sensing
smartphone-based physiological sensing |
0.4 | 1 | 2020 | ThermoTrak: smartphone based real-time fever screening: demo abstract · SenSys 2020 |
Ubiquitous computing and smart environments › environmental sensing
temperature sensing |
0.4 | 1 | 2020 | ThermoTrak: smartphone based real-time fever screening: demo abstract · SenSys 2020 |
Computer vision › Face, body and person analysis
face detection |
0.1 | 1 | 2020 | ThermoTrak: smartphone based real-time fever screening: demo abstract · SenSys 2020 |
Methods — techniques the papers use, named apart from their topics
AI-based region-of-interest detection · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | ThermoTrak: smartphone based real-time fever screening: demo abstractabstractIn this paper, we present "ThermoTrak", a smartphone accessory based, real-time and accurate temperature measurement mechanism, which can be used to screen for fever, which is a manifestation of infectious diseases including the symptoms caused by SARS-CoV-2. Our system accurately identifies face and forehead region from a safe distance of one meter, calculates accurate temperature of forehead with accuracy of ±0.5° C on a linear scale. An AI based algorithm is employed for the purpose of accurately detecting the Region of interest (ROI) (Face & point near center of Forehead) and calculate the absolute temperature within 300 milliseconds. Sujit R. Shinde, Swapna Agarwal, Dibyanshu Jaiswal, Avik Ghose, Sanjay Kimbahune, Pravin Pillai |
SenSys | 6 |