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Lim Chang Quan Thaddeus

dblp:377/7291 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Computer 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
Internet of things and sensor networks · 50% Wireless sensing and localization · 50%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

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

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
device-free sensing
0.812024
Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes · IPSN 2024
Internet of things and sensor networks › energy management › energy-efficient sensing
low-power sensing
0.812024
Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes · IPSN 2024
Wireless sensing and localization
RF sensing
0.812024
Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes · IPSN 2024
Internet of things and sensor networks
wireless sensor network
0.812024
Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes · IPSN 2024
Wearable and physiological sensing
vital sign monitoring
0.212024
Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes · IPSN 2024

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

tunnel diode oscillator · 1.5resonant frequency sensing · 1.5
YearPublicationVenuePosition
2024 Poster Abstract: Enabling Non-contact, Low-Power Sensing using Tunnel Diodes
abstract
Tracking movements in the environment of macroscopic objects enables numerous applications, from monitoring vital signs through body movements to inferring hand gestures. However, current systems overwhelmingly rely on contact-based sensors or energy-consuming radio frequency mechanisms that necessitate complex radio transceivers for receptions. We present ongoing research on a novel low-power sensor that leverages the unique characteristics of tunnel diodes. This sensor can detect minute changes in its vicinity and communicate these changes over radio waves, all while consuming under 150 microwatts of power consumption. Notably, the transmitted radio waves are processed using low-cost, off-the-shelf radio transceivers, resulting in low cost and power consumption. The sensor’s functionality stems from the sensitivity of the resonant frequency of the tunnel diode oscillators to changes in their electromagnetic surroundings. Our early work exhibits its potential for detecting a person’s breathing patterns, and hand gestures.
Yuvraj Singh Bhadauria, Lim Chang Quan Thaddeus, Rajashekar Reddy Chinthalapani, Manoj Gulati, Ambuj Varshney
IPSN2