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Alyssa Mae Weakley

dblp:368/9098 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-2644-9960ORCID · 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 · 77% Ubiquitous computing and smart environments · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › motion sensing
vibration sensing
0.712023
Demo Abstract: PA-Pill : Physical Augmented Pill bottle for Vibration-Based Medication Intake Monitoring · SenSys 2023

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

vibration signature analysis · 0.7
YearPublicationVenuePosition
2023 Demo Abstract: PA-Pill : Physical Augmented Pill bottle for Vibration-Based Medication Intake Monitoring
abstract
Medication intake monitoring is pivotal for healthcare management. While several medication management technologies have been developed, limitations include cost, adoption and adherence, and learning how to use a new system, which is particularly challenging for older adults with cognitive impairment. In this work, we present PA-Pill, a vibration-based sensing system for medication intake monitoring. PA-Pill leverages a physical structure with a unique vibration signature for medication intake event detection and recognition. We implement a prototype and depict preliminary results to verify the feasibility.
Yue Zhang 0044, Hao-Chuan Wang, Alyssa Mae Weakley, Shijia Pan
SenSys4