simra-project / simra-project/simra-android

Auto-Start Recording on Cycling Detection

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#36 0 comments 2 reactions 0 assignees View on GitHub

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Dominant language
Java
Stars
22
Forks
16
PR merge metrics
No merged PRs in 30d

Description

I propose adding a feature to SIMRA that automatically starts recording when it detects that the user is cycling. This feature would utilize sensor data (such as GPS, accelerometer, and gyroscope) to identify cycling motion and typical cycling speeds.

Feature Details:

  • Detection: Implement a background service that continuously monitors sensor data to detect cycling. The app could analyze GPS speed and movement patterns to differentiate cycling from other activities.
  • Automatic Start: Once cycling is detected, SIMRA would automatically initiate the recording of the ride.
  • User Control: Provide an option within the app settings to enable or disable this feature, giving users control over its functionality.
  • Optional Enhancements: Consider adding automatic pause and stop functions when cycling activity ceases or significantly slows down.

Benefits:

  • Improved User Experience: Eliminates the need for manual start, ensuring that no rides are missed.
  • Enhanced Data Accuracy: Automated recording leads to more precise and complete data collection for each ride.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or existing entry points. Start by locating the current recording startup flow, app settings, and sensor-handling code, then assess how a background service could distinguish cycling from other movement. Done means cycling detection, automatic recording, and an enable/disable setting work reliably, with optional pause and stop behavior explicitly scoped.

Written by the indexing model from the issue text.

Assessment

Tech stack
android, java
Domain
mobile
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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