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Antonio Glenn

dblp:336/3604 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0009-5564-1845ORCID · corroborated

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.

Human-computer interaction and pervasive computing
3 papers
Wearable and physiological sensing · 55% Health and well-being technologies · 22% Ubiquitous computing and smart environments · 18%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › vital sign monitoring
ECG monitoring
0.912025
ECG Necklace: Low-power Wireless Necklace for Continuous ECG monitoring · CHI 2025
Ubiquitous computing and smart environments › smart home
smart home interaction
0.812024
IRIS: Wireless ring for vision-based smart home interaction · UIST 2024
Wearable and physiological sensing › smart wearable
smart ring
0.812024
IRIS: Wireless ring for vision-based smart home interaction · UIST 2024
Interaction techniques and input
gesture input
0.212024
IRIS: Wireless ring for vision-based smart home interaction · UIST 2024
Audio and music processing
acoustic signal processing
0.212023
Wireless earbuds for low-cost hearing screening · MobiSys 2023

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

wideband pulses · 1.3frequency modulated chirps · 1.3low-power wireless design · 0.9scene semantics · 0.8instance-level device recognition · 0.8
YearPublicationVenuePosition
2025 ECG Necklace: Low-power Wireless Necklace for Continuous ECG monitoring
Qiuyue Xue, Eric Steven Martin, Jiaqing Liu, Ruiqing Wang, Antonio Glenn, Richard Li 0002, Vikram Iyer, Shwetak N. Patel
CHI5
2024 IRIS: Wireless ring for vision-based smart home interaction
abstract
Integrating cameras into wireless smart rings has been challenging due to size and power constraints. We introduce IRIS, the first wireless vision-enabled smart ring system for smart home interactions. Equipped with a camera, Bluetooth radio, inertial measurement unit (IMU), and an onboard battery, IRIS meets the small size, weight, and power (SWaP) requirements for ring devices. IRIS is context-aware, adapting its gesture set to the detected device, and can last for 16-24 hours on a single charge. IRIS leverages the scene semantics to achieve instance-level device recognition. In a study involving 23 participants, IRIS consistently outpaced voice commands, with a higher proportion of participants expressing a preference for IRIS over voice commands regarding toggling a device’s state, granular control, and social acceptability. Our work pushes the boundary of what is possible with ring form-factor devices, addressing system challenges and opening up novel interaction capabilities.
Maruchi Kim, Antonio Glenn, Bandhav Veluri, Yunseo Lee, Eyoel Gebre, Aditya Bagaria, Shwetak N. Patel, Shyamnath Gollakota
UIST2
2023 Wireless earbuds for low-cost hearing screening
abstract
We present the first wireless earbud hardware that can perform hearing screening by detecting otoacoustic emissions. The conventional wisdom has been that detecting otoacoustic emissions, which are the faint sounds generated by the cochlea, requires sensitive and expensive acoustic hardware. Thus, medical devices for hearing screening cost thousands of dollars and are inaccessible in low and middle income countries. We show that by designing wireless ear-buds using low-cost acoustic hardware and combining them with wireless sensing algorithms, we can reliably identify otoacoustic emissions and perform hearing screening. Our algorithms combine frequency modulated chirps with wideband pulses emitted from a low-cost speaker to reliably separate otoacoustic emissions from in-ear reflections and echoes. We conducted a clinical study with 50 ears across two healthcare sites. Our study shows that the low-cost earbuds detect hearing loss with 100% sensitivity and 89.7% specificity, which is comparable to the performance of a $8000 medical device. By developing low-cost and open-source wearable technology, our work may help address global health inequities in hearing screening by democratizing these medical devices.
Justin Chan, Antonio Glenn, Malek Itani, Lisa R. Mancl, Emily Gallagher, Randall A. Bly, Shwetak N. Patel, Shyamnath Gollakota
MobiSys2