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Saikiran Komatineni

dblp:279/2847 · DBLP profile ↗
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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 · 56% Ubiquitous computing and smart environments · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
mobile sensing		 0.412020
BluBLE, space-time social distancing to monitor the spread of COVID-19: poster abstract · SenSys 2020
Health and well-being technologies
social distancing monitoring		 0.412020
BluBLE, space-time social distancing to monitor the spread of COVID-19: poster abstract · SenSys 2020

Methods — techniques the papers use, named apart from their topics

spatial and temporal distancing · 0.4bluetooth low energy · 0.4
YearPublicationVenuePosition
2020 BluBLE, space-time social distancing to monitor the spread of COVID-19: poster abstract
abstract
Social distancing has been the key factor which has helped control the COVID-19 pandemic spread. We present BluBLE, which utilizes Bluetooth Low Energy (BLE) based mobile sensing to help monitor these social distancing protocols. Specifically, we formulate the problem in two parts - spatial and temporal social distancing. The spatial distancing formulation aims to enforce the 6 feet distance recommended by various public health organization around the world. The temporal distancing formulation aims to inform and prevent users from entering high-occupancy regions (hotspots) in buildings. BluBLE achieved more than 80 % classification accuracy in both the tasks, that is, predicting if a user is within '6' feet of another user as well as characterizing the user's location within a particular hotspot.
Aditya Arun 0002, Agrim Gupta, Shivani Bhatka, Saikiran Komatineni, Dinesh Bharadia
 SenSys4