Abstract:
Techniques associated with a wearable device and method to generate biometric identifier for authentication using near-field communications are described, including capturing data associated with a habitual activity, a physiological characteristic, and a motion pattern using a wearable device, generating a biometric identifier using the data, storing the biometric identifier on the wearable device, and authenticating a user using the biometric identifier.
Abstract:
Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information, and more particularly, to an apparatus or method for using a wearable device (or carried device) having sensors to identify a wearer and/or generate a biometric identifier for security and authentication purposes (e.g., using the generated biometric identifier similar to a passcode). In some embodiments, a biometric validator is included to validate the accuracy of the biometric identifier to authenticate the identity of the user. The biometric validator can determine conditions in which the biometric identifier is invalid (e.g., when a wearable device is no longer worn by a user).
Abstract:
A dual omnidirectional microphone array noise suppression is described. Compared to conventional arrays and algorithms, which seek to reduce noise by nulling out noise sources, the array of an embodiment is used to form two distinct virtual directional microphones which are configured to have very similar noise responses and very dissimilar speech responses. The only null formed is one used to remove the speech of the user from V2. The two virtual microphones may be paired with an adaptive filter algorithm and VAD algorithm to significantly reduce the noise without distorting the speech, significantly improving the SNR of the desired speech over conventional noise suppression systems.