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Related Concept Videos

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

817
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
817

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A Genetic Algorithm Approach to Motion Sensor Placement in Smart Environments.

Brian L Thomas, Aaron S Crandall, Diane J Cook

    Journal of Reliable Intelligent Environments
    |July 26, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Optimizing sensor placement in smart homes helps monitor older adults

    Keywords:
    Genetic AlgorithmsMachine LearningSensor PlacementSmart Environments

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    Area of Science:

    • Ubiquitous computing and smart environments for healthcare applications.

    Background:

    • Smart environments and ubiquitous computing offer significant potential for real-world applications, especially in healthcare.
    • Accurate measurement of activities of daily living is crucial for developing decision support tools for older adults' care.

    Purpose of the Study:

    • To introduce and evaluate approaches for generating optimal sensor layouts in smart home environments.
    • To determine effective sensor placement strategies for monitoring activities of daily living in older adults.
    • To balance the ability to detect activities with the minimization of sensor count.

    Main Methods:

    • Comparison of sensor placement strategies, including human intuition, Hill Climbing, and Genetic Algorithms.
    • Evaluation of generated sensor layouts based on activity detection capabilities and sensor quantity.

    Main Results:

    • Developed and assessed various sensor layout generation approaches.
    • Evaluated the trade-offs between sensor coverage for activity detection and the number of sensors required.

    Conclusions:

    • Sensor placement is a critical factor in deploying smart home technologies for healthcare.
    • Advanced algorithms can inform sensor placement for effective activity monitoring and support aging-in-place strategies.
    • Optimized sensor layouts can provide valuable insights into daily behaviors for enhanced elder care.