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Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks paper by Independent / Community
⭐ 65.6
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Paper

Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks

by Independent / Community 007f005ee74ca35825425df749dea9d794f0f18f
Free2AITools Nexus Index
65.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 76
P: Popularity 51
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

As a result of an increasingly automatized and digitized industry, processes are becoming more complex. Augmented Reality has shown considerable potential in assisting workers with complex tasks by enhancing user understanding and experience with spatial information. However, the acceptance and integration of AR into industrial processes is still limited due to the lack of established methods and tedious integration efforts. Meanwhile, deep neural networks have achieved remarkable results in ...

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Semantic Scholar 10 Citations
Paper Information Summary
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Registry ID 007f005ee74ca35825425df749dea9d794f0f18f
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{007f005ee74ca35825425df749dea9d794f0f18f,
  author = {Unknown},
  title = {Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/007f005ee74ca35825425df749dea9d794f0f18f}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks [Paper]. Free2AITools. https://api.semanticscholar.org/007f005ee74ca35825425df749dea9d794f0f18f

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 76
Popularity (P) 51
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks: Authority (A:76), Popularity (P:51), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"As a result of an increasingly automatized and digitized industry, processes are becoming more complex. Augmented Reality has shown considerable potential in assisting workers with complex tasks by enhancing user understanding and experience with spatial information. However, the acceptance and integration of AR into industrial processes is still limited due to the lack of established methods and tedious integration efforts. Meanwhile, deep neural networks have achieved remarkable results in ..."

❝ Cite Node 

@article{Unknown2026Integrative,
  title={Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ10CitationsSemantic Scholar
πŸ›οΈ76AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈvision multimediaField
πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
null
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null
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citations
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