Security approaches for virtual reality transactions

This invention describes a way to make transactions in virtual reality more secure. When a user's avatar starts a purchase in a VR world, the system takes a first biometric sample, like a fingerprint or eye scan, directly from the user through the VR headset. It then takes a second biometric sample from a different device, like a smartphone, and uses both, along with machine learning, to confirm the user's identity and assess transaction risk.

Why it matters: Filed before the significant advancements in VR hardware's integrated sensor capabilities and the widespread accessibility of robust machine learning platforms. These developments make the dual biometric capture and ML-driven risk assessment described in the claims much more feasible and efficient today.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, biometric sensors, machine learning system

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