Description

Book Synopsis

.-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification.
.-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification.
.-Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations.
.-Toppled Realities: Challenges in Generation and Validation of Synthetic Data.
.-Activity recognition.
.-Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities.
.-Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices.
.-Towards Practical, Best Practice Video Annotation to Support Human Activity Recognition.
.-Annotation of textual data.
.-Large Language Models Rival Human Performance in Historical Labeling.
.-Annotation and label validation of upper-tier tribunal decisions in immigration law.
.-Span-Level Domain-Specific Annotated Student Feedback Pilot Dataset.
.-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.
.-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.
.-Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease.

Annotation of RealWorld Data for Artificial Intelligence Systems

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    A Paperback by Emma L. Tonkin

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      View other formats and editions of Annotation of RealWorld Data for Artificial Intelligence Systems by Emma L. Tonkin

      Publisher: Springer
      Publication Date: 23/11/2025
      ISBN13: 9783032091161, 978-3032091161
      ISBN10:

      Description

      Book Synopsis

      .-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification.
      .-Automating Ergonomics: Scalable AI for Technical Hand Grip Classification.
      .-Recommendations for Datasets Creation Process for Human Motion Generation in Industrial Simulations.
      .-Toppled Realities: Challenges in Generation and Validation of Synthetic Data.
      .-Activity recognition.
      .-Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities.
      .-Towards Standardized Dataset Creation for Human Activity Recognition: Framework, Taxonomy, Checklist, and Best Practices.
      .-Towards Practical, Best Practice Video Annotation to Support Human Activity Recognition.
      .-Annotation of textual data.
      .-Large Language Models Rival Human Performance in Historical Labeling.
      .-Annotation and label validation of upper-tier tribunal decisions in immigration law.
      .-Span-Level Domain-Specific Annotated Student Feedback Pilot Dataset.
      .-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.
      .-Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.
      .-Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease.

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