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Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging

arXiv (Cornell University)(2021)10.1145/3411763.3451701Source: DataRank Database

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging is a research paper published in arXiv (Cornell University) (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 0.94)OA: goldTopics (20)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Aaron Kline ORCID,Onur Cezmi Mutlu ORCID,Émilie Leblanc ORCID,Cathy Hou ORCID,Nate Stockham ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3118357390

Stanford Interdisciplinary Graduate Fellowship (SIGF)

Grant: Schroeder Family Goldman Sachs Graduate Fellow

National Institutes of Health

Grant: 1R01EB025025-01, 1R21HD091500-01, 1R01LM013083

National Science Foundation

Grant: Award 2014232

National Institutes of Health

Grant: 5R01LM013083-03

Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcare

National Science Foundation

Grant: 2014232

SCH:INT: SCH: INT: A gamified mobile system for real-time mental health data modeling and personalized autism care across sociocultural settings

National Institutes of Health

Grant: 1R21HD091500-01

Evaluation of machine learning to mobilize detection and therapy of developmental delay in children

National Institutes of Health

Grant: 1R01EB025025-01

QuBBD: Wearable artificial intelligence for bid data-driven healthcare in child development

FWCI

0.94

Citation Percentile

0.7%

Influential Citations

Citation Trend

2021

2022

goldLicense: public-domain

https://dl.acm.org/doi/pdf/10.1145/3411763.3451701

GOLDhttps://dl.acm.org/doi/pdf/10.1145/3411763.3451701

https://dl.acm.org/doi/pdf/10.1145/3411763.3451701

publisherhttps://dl.acm.org/doi/10.1145/3411763.3451701

https://doi.org/10.1145/3411763.3451701

Fields of Study

Autism Spectrum Disorder ResearchAssistive Technology in Communication and MobilityDown syndrome and intellectual disability researchComputer ScienceMedicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceArtificial intelligenceConvolutional neural networkClassifier (UML)Computer visionPattern recognition (psychology)Feature (linguistics)Feature extractionFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputer Science - Human-Computer InteractionHuman-Computer Interaction (cs.HC)