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The creation of simulated activity datasets using a graphical intelligent environment simulation tool.

J Synnott, L Chen, C D Nugent

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary

    Generating simulated data for activities of daily living (ADL) is challenging. IE Sim software creates virtual environments for generating ADL datasets, including normal, overlapping, and hazardous scenarios.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Biomedical Engineering

    Background:

    • Collecting real-world data on Activities of Daily Living (ADL) is resource-intensive and presents significant challenges.
    • Existing datasets often lack the diversity to capture the full spectrum of human activity performance.
    • Simulated environments offer a promising avenue to overcome data acquisition limitations.

    Purpose of the Study:

    • To introduce IE Sim, a software solution for generating simulated datasets of Activities of Daily Living (ADL).
    • To demonstrate the capability of IE Sim in creating diverse ADL scenarios for research purposes.
    • To facilitate the creation of comprehensive datasets for training and validating AI models in healthcare and robotics.

    Main Methods:

    • Development and utilization of IE Sim software to create a simulated intelligent environment.
    • Employing a virtual avatar to perform Activities of Daily Living within the simulated environment.
    • Configuring IE Sim to generate data for normal, overlapping, and abnormal (hazardous) activity scenarios.

    Main Results:

    • IE Sim successfully generated simulated datasets capturing normal ADL performance.
    • The software facilitated the creation of datasets for overlapping and complex ADL scenarios.
    • IE Sim demonstrated its ability to simulate abnormal activities, including hazardous situations.

    Conclusions:

    • IE Sim is an effective tool for generating diverse and valuable datasets of Activities of Daily Living.
    • The software addresses the limitations of real-world data collection for ADL research.
    • Simulated environments like IE Sim can accelerate research in areas requiring ADL performance data.