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Related Concept Videos

Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the system's...
Auditory Perception01:17

Auditory Perception

The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the cochlea, a...

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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Investigation of Audio Controlled Edge Semantic Segmentation System for Visually Impaired People.

Yuanxi Wang, Zuowen Wang, Niklas Hahn

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
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    Summary
    This summary is machine-generated.

    This study introduces an audio-controlled edge semantic segmentation system to improve assistive technology for visually impaired individuals. Voice commands dynamically filter visual data, enhancing environmental awareness and reducing cognitive load.

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    Area of Science:

    • Computer Vision
    • Assistive Technology
    • Human-Computer Interaction

    Background:

    • Visually impaired individuals face challenges navigating environments.
    • Existing assistive technologies often lack dynamic environmental information filtering.
    • Edge computing offers potential for real-time assistive solutions.

    Purpose of the Study:

    • To develop an audio-controlled edge semantic segmentation system for enhanced assistive technology.
    • To enable users to select object categories via voice commands for dynamic visual filtering.
    • To optimize the display of essential environmental details and reduce cognitive load.

    Main Methods:

    • A multimodal system combining visual semantic segmentation and audio keyword spotting using separate convolutional networks.
    • Dynamic filtering of visual information based on user voice commands.
    • Analysis of segmentation accuracy vs. computational efficiency at different resolutions.
    • Implementation on the Nvidia Jetson AGX Orin platform for edge deployment.

    Main Results:

    • Demonstrated feasibility of an audio-controlled edge semantic segmentation system.
    • Showcased dynamic filtering of visual information through voice commands.
    • Provided analysis on the trade-offs between accuracy and efficiency.
    • Validated system performance on edge hardware.

    Conclusions:

    • The proposed system effectively enhances assistive technology for the visually impaired through audio control.
    • Edge deployment is feasible, offering real-time environmental perception.
    • Dynamic filtering reduces cognitive load and improves user experience.