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Abhipol Vibhatasilpin

dblp:402/1482 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0005-2587-4163ORCID · reported

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.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 67% Ubiquitous computing and smart environments · 33%
Computer networks
1 paper
Internet of things and sensor networks · 100%

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

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › context recognition
activity recognition
0.912025
Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens · SenSys 2025
Wearable and physiological sensing › motion sensing
vibration sensing
0.912025
Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens · SenSys 2025
Wearable and physiological sensing
vital sign monitoring
0.912025
Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens · SenSys 2025
Internet of things and sensor networks › environmental sensing
agricultural sensing
0.312025
Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens · SenSys 2025
Internet of things and sensor networks
wireless sensor network
0.312025
Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens · SenSys 2025
YearPublicationVenuePosition
2025 Poster Abstract: Multiscale Vibration Sensing for Activity and Vital Signs Monitoring in Pig Pens
abstract
Monitoring vital signs and activities in pig pens during the farrowing period is crucial for reducing pre-weaning piglet mortality and enhancing farm productivity. Traditional methods focus on either vital signs or activities separately, falling short in the dynamically changing farm environment. This paper introduces a multiscale vibration sensing method which dynamically adjusts sensor amplifier gain to detect both vital signs (e.g. heartbeats and respirations) and larger-scale activities (e.g. walking, eating, nursing, etc.). Preliminary trials demonstrate the system's potential to adapt to rapidly changing conditions by switching between high sensitivity for vital signs and reduced sensitivity for activity sensing depending on the detected vibration signal.
Jesse R. Codling, Jeffrey D. Shulkin, Abhipol Vibhatasilpin, Vedant Adhana, Gary A. Rohrer, Jeremy Miles, Sudhendu R. Sharma, Tami M. Brown-Brandl, Hae Young Noh, Pei Zhang 0001
SenSys3