Abstract: An in-ear device (IED) of a wearable system captures audio data from within the ear canal of a user indicative of the user's heartbeat. The IED when worn occludes the user's ear canal, causing amplification of low frequency sounds due to the occlusion effect, and improving the ability of the acoustic sensor to detect the user's heartbeat sounds. The wearable system classifies the audio data to identify portions of the audio data corresponding to a first heart sound and a second heart sound, which correspond to different portions of the heartbeat of the user. The wearable system estimates a blood pressure level of the user based upon the identified heart sounds.

Abstract: Aspects of the present disclosure are directed to quantitatively tracking food intake using smart glasses and/or other wearable devices. In some implementations, the smart glasses can include an image capture device, such as a camera, that can seamlessly capture images of food being eaten by the user. A computing device in communication with the smart glasses (or the smart glasses themselves) can identify the type and volume of food being eaten by applying object recognition and volume estimation techniques to the images. Additionally or alternatively, the smart glasses and/or other wearable devices can track a user's eating patterns through the number of bites taken throughout the day by capturing and analyzing hand-to-mouth motions and chewing. The computing device can log the type of food, volume of food, and/or number of bites taken and compute statistics that can be displayed to the user on the smart glasses.

Abstract: Aspects of the present disclosure are directed to quantitatively tracking food intake using smart glasses and/or other wearable devices. In some implementations, the smart glasses can include an image capture device, such as a camera, that can seamlessly capture images of food being eaten by the user. A computing device in communication with the smart glasses (or the smart glasses themselves) can identify the type and volume of food being eaten by applying object recognition and volume estimation techniques to the images. Additionally or alternatively, the smart glasses and/or other wearable devices can track a user's eating patterns through the number of bites taken throughout the day by capturing and analyzing hand-to-mouth motions and chewing. The computing device can log the type of food, volume of food, and/or number of bites taken and compute statistics that can be displayed to the user on the smart glasses.

Abstract: Aspects of the present disclosure are directed to quantitatively tracking food intake using smart glasses and/or other wearable devices. In some implementations, the smart glasses can include an image capture device, such as a camera, that can seamlessly capture images of food being eaten by the user. A computing device in communication with the smart glasses (or the smart glasses themselves) can identify the type and volume of food being eaten by applying object recognition and volume estimation techniques to the images. Additionally or alternatively, the smart glasses and/or other wearable devices can track a user's eating patterns through the number of bites taken throughout the day by capturing and analyzing hand-to-mouth motions and chewing. The computing device can log the type of food, volume of food, and/or number of bites taken and compute statistics that can be displayed to the user on the smart glasses.

Abstract: In some implementations, the disclosed systems and methods display content from a public network (e.g., the Internet) such as via a web host, content delivery network, etc. In some implementations, the disclosed systems and methods can issue an entitlement as a token, signed with a private key by an issuing authority. In some implementations, the disclosed systems and methods can determine caloric consumption attributable to both upper and lower body movements of the user throughout changes in pose.

Abstract: A device for in-ear use is provided. The device includes an in-ear fixture configured to seal an ear canal of a user, an internal microphone coupled to receive an internal acoustic signal, propagating through the ear canal of the user, an external microphone coupled to receive an external acoustic signal, propagating through an environment of the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a vital sign of the user based on at least one of the internal acoustic signal and the external acoustic signal. A memory storing instructions which, when executed by a processor, cause a method for use of the above device to identify a vital sign of a user, the memory, the processor, and the method are also provided.

Abstract: An in-ear device for immersive reality applications is provided. The device includes a fixture configured to fit in an ear canal of a user, an emitter mounted on the in-ear fixture and configured to emit a first electromagnetic radiation onto the ear canal of the user, a detector configured to provide a signal indicative of a second electromagnetic radiation from the ear canal of the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the signal, wherein the second electromagnetic radiation includes at least a portion of the first electromagnetic radiation reflected from a tissue in the ear canal of the user. A memory storing instructions to cause processors in a system to perform a method for use of the above in-ear device, the memory, the processor, the system and the method are also provided.

Abstract: A device for performing electrical measurements for in-ear monitoring is provided. The device includes an in-ear fixture configured to fit in an ear canal of a user, a first electrode mounted on the in-ear fixture and configured to receive an electronic signal from the skin, and an internal microphone to receive an acoustic signal, propagating through the ear of the user. The device also includes an external microphone coupled to receive an external acoustic signal, propagating through an environment, and a processor that is coupled to an augmented reality headset, the processor identifies a cardiovascular condition, or a neurologic condition of the user based on at least one of the electronic signals, the internal acoustic signal, and the external acoustic signal. A memory storing instructions which, when executed by a processor cause a method of use of the above device. The memory, the processor and the method are also provided.

Abstract: A computer method for managing, processing and handling sensor signals from an in-ear monitor for immersive reality applications is provided. The method includes receiving, from a first electrode, a first electronic signal from a skin in a first ear canal of a user of an in-ear device, receiving, from a first microphone, a first acoustic signal from the first ear canal of the user of the in-ear monitor, and a second acoustic signal from a second ear canal of the user (binaural data capture), forming an acoustic waveform with the first acoustic signal, forming an electronic waveform with the first electronic signal, and identifying a health condition of the user based on the acoustic waveform and the electronic waveform. A device including a memory storing instructions and processors to execute the instructions to perform the above method are also provided.

Abstract: An in-ear device for immersive reality applications is provided. The device includes an in-ear fixture configured to seal an ear canal of a user, a temperature sensor mounted on the in-ear fixture and configured to receive a temperature signal from the ear canal of the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the temperature signal. A method for using the above device, a memory storing instructions and a processor that executes the instructions to perform the method are also provided.

Abstract: An in-ear device for immersive reality applications is provided. The device includes an in-ear fixture configured to fit in an ear canal of a user, a motion sensor mounted on the in-ear fixture and configured to provide a motion signal indicative of an inner body motion or a bulk body motion of the user, a speaker coupled to provide an audio signal to the user, and a processor that is coupled to an augmented reality headset, the processor configured to identify a health condition of the user based on the motion signal. A method for using the above device, a memory and a processor for storing and executing instructions to perform the method are also provided.