Abstract: A child detection device for a child safety seat for an automobile according to an example includes a plurality of sensors to be positioned on the child safety seat, wherein the plurality of sensors includes at least one capacitive sensor to generate analog capacitive signals. The child detection device includes a conversion circuit to convert the analog capacitive signals to digital capacitive values. The child detection devices includes a controller to identify movement of an object based on the digital capacitive values, and determine whether a child is positioned in the child safety seat based on the digital capacitive values and the identified movement.

Abstract: A method includes receiving, by a processing device, an audio sample of a distorted voice. The method further includes extracting a first set of characteristics from the audio sample. The method further includes selecting a second set of characteristics. The second set of characteristics is associated with one of a set of reference audio samples. The method further includes generating an undistorted audio sample. The undistorted audio sample is based on the distorted audio sample, the first set of characteristics, and the second set of characteristics.

Abstract: A wireless device includes a transmitter and logic at least one of coupled to or integrated within the transmitter. The logic generates a frequency domain artifact within a portion of a packet to be transmitted during a round trip timing estimation of an enclosure having a receiver. The logic causes a frequency of samples of bit patterns of the portion of the packet to be modified based on the frequency domain artifact before the transmitter transmits the packet to the receiver.

Abstract: A hydrometer device according to an example includes a floating waterproof device container, and a liquid level sensor positioned in the device container to sense an immersion level of the device container when the device container is floating in a container of liquid. The hydrometer device further includes a conversion circuit positioned in the device container to convert the sensed immersion level to a digital value, and a controller positioned in the device container to determine a liquid density value for the liquid based on the digital value.

Abstract: Implementations disclosed describe techniques and systems for efficient determination and tracking of trajectories of objects in an environment of a wireless device. The disclosed techniques include, among other things, obtaining multiple sets of sensing values that characterize one or more radio signals received, during a respective sensing event, from an object in an environment of the wireless device. The sensing signals may be carried by waves with randomly selected frequencies representing a portion of all frequencies that are used as working sensing frequencies. Multiple techniques of efficient frequency interpolation and temporal interpolation are disclosed that reconstruct the sensing values to the full range of working frequencies. The reconstructed sensing values may then be used to track objects in the environment.

Abstract: A hydrometer device according to an example includes a floating waterproof device container, and a liquid level sensor positioned in the device container to sense an immersion level of the device container when the device container is floating in a container of liquid. The hydrometer device further includes a conversion circuit positioned in the device container to convert the sensed immersion level to a digital value, and a controller positioned in the device container to determine a liquid density value for the liquid based on the digital value.

Abstract: A method for detecting a finger at a fingerprint sensor includes detecting a presence of an object at a fingerprint sensor and, in response to detecting the presence of the object, acquiring image data for the object based on signals from the fingerprint sensor. The method further includes, for each subset of one or more subsets of the image data, calculating a magnitude value for a spatial frequency of the subset, and identifying the object as a finger based on comparing the magnitude value to a threshold.

Abstract: A method for detecting a finger at a fingerprint sensor includes detecting a presence of an object at a fingerprint sensor and, in response to detecting the presence of the object, acquiring image data for the object based on signals from the fingerprint sensor. The method further includes, for each subset of one or more subsets of the image data, calculating a magnitude value for a spatial frequency of the subset, and identifying the object as a finger based on comparing the magnitude value to a threshold.

Abstract: A method for detecting a finger at a fingerprint sensor includes detecting a presence of an object at a fingerprint sensor and, in response to detecting the presence of the object, acquiring image data for the object based on signals from the fingerprint sensor. The method further includes, for each subset of one or more subsets of the image data, calculating a magnitude value for a spatial frequency of the subset, and identifying the object as a finger based on comparing the magnitude value to a threshold.

Abstract: A method for detecting a finger at a fingerprint sensor includes detecting a presence of an object at a fingerprint sensor and, in response to detecting the presence of the object, acquiring image data for the object based on signals from the fingerprint sensor. The method further includes, for each subset of one or more subsets of the image data, calculating a magnitude value for a spatial frequency of the subset, and identifying the object as a finger based on comparing the magnitude value to a threshold.