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Using Ruby to Enhance Accessibility Features for IoT Devices - Specific Approach Needed

๐Ÿ‘€ Views: 110 ๐Ÿ’ฌ Answers: 1 ๐Ÿ“… Created: 2025-09-07
ruby rails iot accessibility Ruby

I've been researching this but I'm working on a project and hit a roadblock... This might be a silly question, but Recently started working on a project aimed at improving accessibility features in IoT devices using Ruby on Rails. My goal is to implement voice commands for users with limited mobility, and Iโ€™m trying to leverage the `speechrecognition` gem for this purpose. While experimenting, Iโ€™ve set up a basic Rails application that listens for voice input and processes commands. The initial code looks something like this: ```ruby class VoiceController < ApplicationController def listen @speech_input = SpeechRecognition.new if @speech_input.recognize process_command(@speech_input.result) else render json: { error: 'No input detected' }, status: :unprocessable_entity end end private def process_command(command) case command.downcase when 'turn on the light' # Code to turn on light when 'play music' # Code to play music else render json: { message: 'Command not understood' } end end end ``` The `speechrecognition` gem works well in a controlled environment, but I'm running into complications when trying to implement this on actual devices. Specifically, the recognition accuracy drops significantly in noisy environments, which is a common scenario for IoT devices interacting in real-world settings. I read that implementing a noise-cancellation approach could improve performance, but Iโ€™m not sure how to integrate this effectively within my Rails app. Iโ€™ve also skimmed through examples that suggest using WebSockets for real-time communication, which sounds promising, but Iโ€™m not clear on how to set it up with the current architecture. Hereโ€™s what Iโ€™ve tried so far: 1. Adjusted microphone settings on the device to pick up clearer sounds, but results were inconsistent. 2. Introduced a noise filter using some basic audio processing techniques, yet the implementation in Ruby was not straightforward, and performance suffered. 3. Explored alternatives like using a JavaScript front-end to handle the audio input and send commands via API, but I want to keep it all Ruby-centric if possible. Is there a recommended architecture or approach that could enhance the speech recognition capability in this context? Any specific libraries or patterns I should consider for handling noisy audio input directly in Ruby on Rails? For context: I'm using Ruby on Linux. For context: I'm using Ruby on Windows. Thanks in advance! I'd really appreciate any guidance on this.