Abstract: Various arrangements for performing fall detection are presented. A smart-home device may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person has occurred. Speech may then be output announcing that the fall has been detected via the speaker of the smart home device.

Abstract: Computing systems and methods are provided for detecting skin conditions of humans. A computing device can authenticate a user via a fingerprint scan of a first skin region of the user using a three-dimensional (3D) sonic sensor. The device can generate a three-dimensional (3D) volumetric sonic measurement of a second skin region of the user based at least in part on one or more sonic pulses of the three-dimensional sonic sensor. The device can input data indicative of the 3D volumetric sonic measurement into one or more machine-learning models, generate one or more skin cancer condition identifications associated with the second skin region of the user based on one or more outputs of the one or more machine-learned models, and provide one or more outputs including the one or more skin cancer condition identifications associated with the second skin region of the user.

Abstract: Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).

Abstract: Generally, the present disclosure is directed to systems and methods for measuring heart rate and respiratory rate using a camera such as, for example, a smartphone camera or other consumer-grade camera. Specifically, the present disclosure presents and validates two algorithms that make use of smartphone cameras (or the like) for measuring heart rate (HR) and respiratory rate (RR) for consumer wellness use. As an example, HR can be measured by placing the finger of a subject over the rear-facing camera. As another example, RR can be measured via a video of the subject sitting still in front of the front-facing camera.

Abstract: Various arrangements for performing fall detection are presented. A smart-home device (110, 201), comprising a monolithic radar integrated circuit (205), may transmit radar waves. Based on reflected radar waves, raw waveform data may be created. The raw waveform data may be processed to determine that a fall by a person (101) has occurred. Speech may then be output announcing that the fall has been detected via the speaker (217) of the smart home device (110, 201).

Abstract: Various arrangements for performing ballistocardiography using a mobile device are presented. A radar integrated circuit of a mobile device may emit frequency-modulated continuous-wave (FMCW) radar. Reflected radio waves based on the FMCW radar being reflected off objects may be received and used to create a raw radar waterfall. The raw radar waterfall may be analyzed to create a ballistocardiography waveform. Data based on the ballistocardiography waveform may be output, such as to a machine-learning application installed on the mobile device.

Abstract: Various arrangements for sonar-based vital sign monitoring are presented herein. A mobile device may be determined to be stationary. In response, sonar-based movement sensing can be activated. Sonar data can then be captured in response to activating the sonar-based movement sensing. A breathing pattern can be detected in the sonar data and used to collect respiration data about a user.

Abstract: Various arrangements for performing radar-based measurement of vital signs. Waveform data may be received then filtered of data indicative of static objects to obtain motion-indicative waveform data. The motion-indicative waveform data may be analyzed to determine one or more frequencies of movement present within the motion-indicative waveform data. A spectral analysis may be performed on the motion-indicative waveform data to determine a spectral-analysis state of a monitored region. The spectral-analysis state of the monitored region may be determined to match a predefined spectral-analysis state during which vital sign monitoring is permitted. One or more vital signs of a monitored user present within the monitored region may be determined and output based on analyzing the motion-indicative waveform data.

Abstract: Wearable pulse pressure wave sensing devices are presented that generally provide a non-intrusive way to measure a pulse pressure wave travelling through an artery using a wearable device. In one implementation, the device includes an array of pressure sensors disposed on a mounting structure which is attachable to a user on an area proximate to an underlying artery. Each of the pressure sensors is capable of being mechanically coupled to the skin of the user proximate to the underlying artery. In addition, there are one or more arterial location sensors disposed on the mounting structure which identify a location on the user's skin likely overlying the artery. A pulse pressure wave is then measured using the pressure sensor of the array closest to the identified location.

Abstract: Systems and techniques are provided for light source status detection. Ambient light values generated by an ambient light sensor of a device in an environment over a period of time may be received. A first light source model for the device may be generated using a first subset of the ambient light values. A second light source model for the device may be generated using a second subset of the ambient light values. A current ambient light value generated by the ambient light sensor of the device may be received. The first light source model or the second light source model may be selected based on a time at which the current ambient light value was generated. Whether the current ambient light value indicates that a local artificial light source is on may be determined using the current ambient light value and selected light source model.

Abstract: Computing systems and methods are provided for detecting skin conditions of humans. A computing device can authenticate a user via a fingerprint scan of a first skin region of the user using a three-dimensional (3D) sonic sensor. The device can generate a three-dimensional (3D) volumetric sonic measurement of a second skin region of the user based at least in part on one or more sonic pulses of the three-dimensional sonic sensor. The device can input data indicative of the 3D volumetric sonic measurement into one or more machine-learning models, generate one or more skin cancer condition identifications associated with the second skin region of the user based on one or more outputs of the one or more machine-learned models, and provide one or more outputs including the one or more skin cancer condition identifications associated with the second skin region of the user.

Abstract: Wearable pulse pressure wave sensing devices are presented that generally provide a non-intrusive way to measure a pulse pressure wave travelling through an artery using a wearable device. In one implementation, the device includes an array of pressure sensors disposed on a mounting structure which is attachable to a user on an area proximate to an underlying artery. Each of the pressure sensors is capable of being mechanically coupled to the skin of the user proximate to the underlying artery. In addition, there are one or more arterial location sensors disposed on the mounting structure which identify a location on the user's skin likely overlying the artery. A pulse pressure wave is then measured using the pressure sensor of the array closest to the identified location.

Abstract: A method of optimizing sleep of a subject using smart-home devices may include operating a smart-home system that is configured to operate in a normal mode and a sleep mode. The method may also include determining that the smart-home system should transition into the sleep mode. The smart-home devices may use a set of default parameters when operating in the sleep mode. The method may additionally include monitoring, while in the sleep mode, a sleep cycle of the subject using the smart-home devices. The method may further include detecting behavior of the subject that indicates that the sleep cycle of the subject is being interrupted or about to be interrupted, determining an environmental control that corresponds with the behavior of the subject, and adjusting the environmental control using the smart-home devices to prevent or stop the sleep cycle of the subject from being interrupted.

Abstract: Wearable pulse pressure wave sensing devices are presented that generally provide a non-intrusive way to measure a pulse pressure wave travelling through an artery using a wearable device. In one implementation, the device includes an array of pressure sensors disposed on a mounting structure which is attachable to a user on an area proximate to an underlying artery. Each of the pressure sensors is capable of being mechanically coupled to the skin of the user proximate to the underlying artery. In addition, there are one or more arterial location sensors disposed on the mounting structure which identify a location on the user's skin likely overlying the artery. A pulse pressure wave is then measured using the pressure sensor of the array closest to the identified location.

Abstract: Described herein are systems and methods for intelligent identification and provisioning of devices and services for a smart home. A user can identify an issue or a question with respect to how to solve a problem within their home. The system can use advanced intelligence to interact with the user to obtain information that can allow the system to identify relevant information for solving the user's problem or answering the user's question by identifying correlated information about the user, such as demographic or behavioral information, and using that information in conjunction with past purchasing information, information specific to the user's home, and the like to generate a recommendation and installation plan for one or more smart home devices for the user. Once implemented, the system can also provide confirmation that the installation was completed properly.

Abstract: A method of monitoring physical characteristics of subjects in sleep environments may include receiving, through a video camera, a video feed of a subject in a sleep environment; analyzing the video feed of the subject to identify motion of the subject in the video feed; and causing a mobile device to present a representation of the motion of the subject, wherein the motion of the subject is exaggerated.

Abstract: There is provided a system including a wireless tag reader, a first wireless antenna, a wireless tag including an integrated circuit (IC), a conductive element electronically connecting the wireless tag to the first wireless antenna, a non-transitory memory storing an executable code, a hardware processor executing the executable code to transmit an interrogation signal, receive a tag signal from the wireless tag electronically connected to the first wireless antenna in response to the interrogation signal, the tag signal including a wireless tag identification (ID) uniquely identifying the wireless tag, and determine an interaction by a user with the wireless tag based on the tag signal.

Abstract: A method of monitoring physical characteristics of subjects in sleep environments may include receiving, through a video camera, a video feed of a subject in a sleep environment; analyzing the video feed of the subject to identify motion of the subject in the video feed; and causing a mobile device to present a representation of the motion of the subject, wherein the motion of the subject is exaggerated.

Abstract: A method of monitoring physical characteristics of subjects in sleep environments may include receiving, through a video camera, a video feed of a subject in a sleep environment, where the video camera may include a thermal imaging camera, and where the video feed may include thermal images of a face of the subject. The method may also include establishing a baseline thermal signature of the face of the subject. The method may additionally include identifying a thermal anomaly by comparing the baseline thermal signature to a current thermal image of the face of the subject. The method may further include identifying a condition of the subject based on the thermal anomaly.

Abstract: A method of optimizing sleep of a subject using smart-home devices may include operating a smart-home system that is configured to operate in a normal mode and a sleep mode. The method may also include determining that the smart-home system should transition into the sleep mode. The smart-home devices may use a set of default parameters when operating in the sleep mode. The method may additionally include monitoring, while in the sleep mode, a sleep cycle of the subject using the smart-home devices. The method may further include detecting behavior of the subject that indicates that the sleep cycle of the subject is being interrupted or about to be interrupted, determining an environmental control that corresponds with the behavior of the subject, and adjusting the environmental control using the smart-home devices to prevent or stop the sleep cycle of the subject from being interrupted.