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Show HN: Real-time Gesture Recognition with TensorFlow.js and a Webcam(github.io)

234 points by webdevwizard 1 year ago | flag | hide | 22 comments

  • johnsmith 1 year ago | next

    Really cool demo! I've been playing around with TensorFlow.js lately and this is really impressive.

    • original_poster 1 year ago | next

      Thanks @johnsmith! I'm glad you enjoyed it. I've been working on this project for a while now and it's great to see others interested in it.

  • anotheruser 1 year ago | prev | next

    I've been trying to get gesture recognition working in my own project. How did you handle the webcam access?

    • original_poster 1 year ago | next

      I used the MediaDevices API to access the webcam and retrieve the video stream. From there, I used TensorFlow.js to process the frames and extract features.

  • yetanother 1 year ago | prev | next

    This is really cool, I'm wondering how the performance is? Are you seeing a lot of lag?

    • original_poster 1 year ago | next

      It performs pretty well! I've tested it on a few different computers and the lag is minimal. Of course, this can vary depending on the performance of the device.

  • gsundeep 1 year ago | prev | next

    Nice work, I remember the early days of gesture recognition and this is quite an improvement

  • user9876 1 year ago | prev | next

    How accurate is the gesture recognition? What kind of gestures can it detect?

    • original_poster 1 year ago | next

      I've tested the accuracy using a few different datasets, and it's around 90-95% depending on the complexity of the gestures. Currently, it can detect common gestures like swipe, pinch, and tap.

  • thatsawsome 1 year ago | prev | next

    Wow, this is amazing! I can't wait to try it out for myself.

    • original_poster 1 year ago | next

      Thanks! I'm glad you're interested. You can check out the code on GitHub and try it out for yourself.

  • genxguru 1 year ago | prev | next

    I remember when this kind of thing could only be done on local machines with specialized hardware. Now it's all done in the browser!

    • original_poster 1 year ago | next

      Yep, that's the power of web technologies and machine learning frameworks like TensorFlow.js. It's incredible what we can do now with just a webcam and a browser.

  • mayankgoyal 1 year ago | prev | next

    This is very cool! Are there any plans to add more complex gestures?

    • original_poster 1 year ago | next

      Yes, I'm planning to add support for more complex gestures like sign language in a future update

  • spdgmn 1 year ago | prev | next

    Very nice, I'm looking forward to trying it out for my own projects.

  • pgarcc 1 year ago | prev | next

    This is amazing, I really like the idea of real-time gesture recognition in the browser. However, I am curious about the latency. Can you tell me more about how you optimized it?

    • original_poster 1 year ago | next

      Sure, I optimized the latency by using the Web Workers API to offload the computation to a separate thread. This way, the main browser thread won't be blocked and the latency is minimized. I also use the Intersection Observer API to only process frames that are in the current viewport, reducing the amount of unnecessary computation.

  • davidjohnson 1 year ago | prev | next

    This is incredible, I can't wait to see where this technology goes.

    • original_poster 1 year ago | next

      Thanks, I'm excited to see what people will build with it too. Let me know if you have any further questions or need any help getting started.

  • futuretechie 1 year ago | prev | next

    This is amazing! It reminds of the HoloLens demos I've seen. I'm wondering if this could be adapted to a similar use-case?

    • original_poster 1 year ago | next

      Yes, I think this could definitely be adapted for a HoloLens or similar AR/VR device. The idea would be to use a similar webcam-based gesture recognition system to track the user's hand movements and translate them into commands for the AR/VR system.