PRODUCTIVITY

Lie Detector — Voice & Pulse Analyzer

Led iOS at Livita for a lie-detector entertainment app: custom camera rPPG, Apple Watch pulse over WatchConnectivity, voice yes/no capture, and the client's polygraph scoring logic, all on device.

ARKit face detection
rPPG vitals pipeline
iOS watchOS Swift UIKit AVFoundation WatchConnectivity +1 more
Lie Detector — Voice & Pulse Analyzer — Livita Software case study — screenshot 1
Lie Detector — Voice & Pulse Analyzer — Livita Software case study — screenshot 2
Lie Detector — Voice & Pulse Analyzer — Livita Software case study — screenshot 3

Project breakdown

The challenge

Users want a playful honesty test between friends that combines pulse and voice signals, without cloud biometrics or professional polygraph hardware.

What we built

Built the UIKit app as lead iOS developer at Livita with a team:

  • Two pulse sources: a custom rPPG camera pipeline and a Watch companion
  • Voice recording with speech recognition
  • Neutral and control question flows based on polygraph methodology
  • The client's truth-scoring algorithm
  • Core Data session history
  • Subscription and ad monetization

Results & proof

  • Full detection flow in the codebase, from calibration to Q&A, results, and history
  • Custom rPPG and Watch companion in place
  • Not yet live, so App Store link, downloads, and ratings are not available

Tech & scope

Productivity / Utilities

Swift UIKit AVFoundation WatchConnectivity Speech

Delivered end-to-end by Livita Software — native Apple architecture, implementation, and release. · Delivered by Livita LTD

Walkthrough

Screens

Lie Detector — Voice & Pulse Analyzer — Livita Software case study — screen 1 of 3

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