Evidence map›Paper›PMID 35808423›Full record

ArticleSensors (Basel, Switzerland)2022

Subjective Evaluation of Basic Emotions from Audio-Visual Data.

Sudarsana Reddy Kadiri, Paavo Alku

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sudarsana Reddy KadiriDepartment of Signal Processing and Acoustics, Aalto University, Otakaari 3, FI-00076 Espoo, Finland.ORCID 0000-0001-5806-3053
Paavo AlkuDepartment of Signal Processing and Acoustics, Aalto University, Otakaari 3, FI-00076 Espoo, Finland.ORCID 0000-0002-8173-9418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding of the perception of emotions or affective states in humans is important to develop emotion-aware systems that work in realistic scenarios. In this paper, the perception of emotions in naturalistic human interaction (audio-visual data) is studied using perceptual evaluation. For this purpose, a naturalistic audio-visual emotion database collected from TV broadcasts such as soap-operas and movies, called the IIIT-H Audio-Visual Emotion (IIIT-H AVE) database, is used. The database consists of audio-alone, video-alone, and audio-visual data in English. Using data of all three modes, perceptual tests are conducted for four basic emotions (angry, happy, neutral, and sad) based on category labeling and for two dimensions, namely arousal (active or passive) and valence (positive or negative), based on dimensional labeling. The results indicated that the participants' perception of emotions was remarkably different between the audio-alone, video-alone, and audio-video data. This finding emphasizes the importance of emotion-specific features compared to commonly used features in the development of emotion-aware systems.

Indexed as

ArousalEmotionsHumansemotion analysisemotion recognitionemotion synthesisfeature extractionnaturalistic audio–visual emotion database

Identifiers

PMID35808423
PMCPMC9269694

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.