Evidence map›Paper›PMID 41013066›Full record

ArticleSensors (Basel, Switzerland)2025

Feasibility of an AI-Enabled Smart Mirror Integrating MA-rPPG, Facial Affect, and Conversational Guidance in Realtime.

Mohammad Afif Kasno, Jin-Woo Jung

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mohammad Afif KasnoDepartment of Computer Science and Artificial Intelligence, College of Advanced Convergence Engineering, Dongguk University, Seoul 04620, Republic of Korea.ORCID 0000-0003-0905-6337
Jin-Woo JungDepartment of Computer Science and Artificial Intelligence, College of Advanced Convergence Engineering, Dongguk University, Seoul 04620, Republic of Korea.

Funding

Ministry of Science and ICT IITP-2024-2020-0-01789Ministry of Science and ICT IITP-2024-RS-2023-00254592Ministry of Science and ICT No. 2018R1A5A7023490Ministry of Trade, Industry and Energy Project No. P0026318
6 · The paper itself

Abstract

This paper presents a real-time smart mirror system combining multiple AI modules for multimodal health monitoring. The proposed platform integrates three core components: facial expression analysis, remote photoplethysmography (rPPG), and conversational AI. A key innovation lies in transforming the Moving Average rPPG (MA-rPPG) model-originally developed for offline batch processing-into a real-time, continuously streaming setup, enabling seamless heart rate and peripheral oxygen saturation (SpO

Indexed as

Artificial IntelligencePhotoplethysmographyAdultFacial ExpressionFeasibility StudiesFemaleHeart RateHumansMaleMonitoring, PhysiologicUser-Computer Interfaceambient assisted living (AAL)facial emotion recognitionhuman-centered AImental health chatbotreal-time health monitoringremote photoplethysmography (rPPG)smart mirror

Identifiers

PMID41013066
PMCPMC12473532

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.