Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alyssa Mae Weakley
dblp:368/9098
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › motion sensing
vibration sensing |
0.7 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Demo Abstract: PA-Pill : Physical Augmented Pill bottle for Vibration-Based Medication Intake MonitoringabstractMedication 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 |
SenSys | 4 |