Biometric Modalities
The smart lanyard uses several biometric factors to verify identity with varying levels of intrusiveness. Combining these factors reduces the risk of spoofing and increases accuracy.
- Gait recognition – Captures the wearer’s body dynamics using an accelerometer and gyroscope. Gait is a non‑intrusive biometric that works at a distance and in low light, but accuracy can be impacted by clothing or injuries. It is best used alongside facial recognition.
- Facial recognition – Utilizes IR and RGB cameras to identify the wearer’s face locally on the device. On‑device processing ensures privacy and can include liveness detection to prevent spoofing.
- Heartbeat biometrics – Measures the unique patterns of an individual’s heartbeat via a sensor. Heartbeat signatures provide built‑in liveness detection and are extremely difficult to replicate, though integrating them into a lanyard may require contact points or a companion wearable.
- Voice biometrics – Analyzes the speaker’s rhythm, pitch and timbre to confirm identity. Voice biometrics requires a database of enrolled samples and may be affected by illness or fatigue, but it is low intrusive and accessible.
- Voice recognition (speech‑to‑text) – Distinct from biometrics, voice recognition converts speech into text for commands and note‑taking. It enables the lanyard to transcribe conversations and create meeting summaries.