PPG as a Bridge: Cross-Device Authentication for Smart Wearables with Photoplethysmography

TL;DR

This paper introduces PPGTransID, a cross-device authentication method using physiological PPG signals, enabling seamless and secure user verification across smart wearables and smartphones without extra effort.

Contribution

It presents a novel cross-device authentication approach leveraging PPG signals from wearables and smartphones, addressing privacy and usability challenges in multi-device environments.

Findings

Achieves 95.5% accuracy in authentication

Generalizes across multiple wearable devices

Demonstrates robustness to environmental variations

Abstract

As smart wearable devices become increasingly powerful and pervasive, protecting user privacy on these devices has emerged as a critical challenge. While existing authentication mechanisms are available for interaction-rich devices such as smartwatches, enabling on-device authentication (ODA) on interaction-limited wearables including rings, earphones, glasses, and wristbands remains difficult. Moreover, as users increasingly own multiple smart devices, relying on device-specific authentication methods becomes redundant and burdensome. To address these challenges, we present PPGTransID, a ubiquitous and unobtrusive cross-device authentication (CDA) approach that leverages the real-time physiological consistency of photoplethysmography (PPG) signals across the human body. PPGTransID utilizes widely available PPG sensors on wearable devices to capture users' physiological signals and compares them with remote PPG (rPPG) signals extracted from a smartphone camera, where robust face-based authentication is already established. In doing so, PPGTransID securely transfers the reliable authentication status of the smartphone to nearby wearable devices without requiring additional user interaction. An evaluation with 33 participants shows that PPGTransID achieves a balanced accuracy of 95.5 percent and generalizes across multiple wearable form factors. Robustness experiments with 10 participants demonstrate resilience to variations in lighting, camera placement, and user behavior, while a real-time usability study with 14 participants confirms reliable performance with minimal interaction burden.