~/talk

Making Sense The Road to mobile Awareness

Talkat Android Summit 2016 · 2016-08-26..08-27· [machine-learning, android]
speakerdeck:jayroo5245
slides:none on file

Claim: contextual awareness best differentiates apps; three concrete routes are compared. Build a custom sensor fusion pipeline from accelerometer/gyro/magnetometer (up to 250Hz), run heavy math in NDK for performance, and wrestle fragmentation and battery. Or use a library like Lost (drop‑in fused location) but face licensing, mismatches and drains. Or use Google’s Awareness API (seven signals, fence and snapshot APIs, processing off‑device; ~85% coverage) for the easiest, most battery‑friendly result.

AI-written summary · about

  1. 0:00Start
  2. 2:58Mobile Contextual Awareness
  3. 3:49Sensor Types in Android
  4. 4:13Use Cases
  5. 5:11Sensor Fusion - What is it?
  6. 7:27Sensor Fusion - Example
  7. 11:32Sensor Fusion - Challenges
  8. 14:10Alternatives to the hard way
  9. 16:52Time
  10. 17:10Activity
  11. 17:30Headphones
  12. 18:48Awareness Benefits
  13. 19:51Fence API
  14. 20:02Three options
  15. 24:11Sources
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