Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

W. M. D. S. Weerakoon

dblp:187/3878 · also Dulaj Sanjaya Weerakoon, Dulaj Weerakoon · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Computer networks · 1 · 1 since 2021

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.

Computer networks
1 paper
Edge and fog computing · 50% Wireless sensing and localization · 50%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › earable sensing
wearable audio device
0.812024
PA2BLO: Low-Power, Personalized Audio Badge · PerCom 2024
Wearable and physiological sensing
energy-efficient sensing
0.212024
PA2BLO: Low-Power, Personalized Audio Badge · PerCom 2024

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

edge computing · 1.0speaker recognition · 0.8randomized pitch shifting · 0.8
YearPublicationVenuePosition
2026 SteerCam: Multi-Camera Edge Perception via Dynamic Joint Steering & Collaboration
Dhanuja Wanniarachchige, Kasthuri Jayarajah, W. M. D. S. Weerakoon, Tarek F. Abdelzaher, Archan Misra
INFOCOM3
2024 Workshop: DeLiDAR: Decoupling LiDARs for Pervasive Spatial Computing
Darshana Rathnayake, Razat Sutradhar, Abbaas Alif Mohamed Nishar, W. M. D. S. Weerakoon, Ashwin Ashok, Archan Misra
EWSN4
2024 PA2BLO: Low-Power, Personalized Audio Badge
abstract
We present the hardware design and software pipeline for an ultra-low power device, in the form factor of a wearable badge, that supports energy efficient sensing, processing and wireless transfer of human voice commands and interactions. The proposed system, called PA2BLO, is envisioned to support both: (a) real-time, scalable, authorized voice based interaction and control of devices and appliances, and (b) longitudinal, low-power logging of natural voice interactions. PA2BLO in-troduces two key novel capabilities. First, it includes a low power, low-complexity voice authentication module that is able to reliably authenticate an authorized user only using low sampling rate (500 Hz) audio data. Second, to reduce concerns around inadvertent leakage of voice biometrics to less secure voice-driven services, PA2BLO uses a power-efficient, randomized pitch shifting technique that dramatically lowers the ability to perform speaker recognition while preserving instruction/speech comprehensibility. We describe PA2BLO's Cortex M4F-based micro-controller based hardware implementation, which is care-fully designed to eliminate redundant processing and consumes less than 50J of energy per hour of active voice capture and processing. Through both controlled and naturalistic studies, we show that the PA2BLO prototype is capable of authenticating user voice segments reliably (accuracy> 89.8%) and can operate for well over a day (using a supercapacitor charged within just one minute) while capturing 2+ hours of active speaker data.
Hemanth Reddy Sabbella, W. M. D. S. Weerakoon, Manoj Gulati, Archan Misra
PerCom2
2024 OcAPO: Fine-grained occupancy-aware, empirically-driven PDC control in open-plan, shared workspaces
Anuradha Ravi, W. M. D. S. Weerakoon, Archan Misra
Pervasive Mob. Comput.2