A system for detecting at least one transient phase in a steady activity of an animated being includes processing circuitry for determining signals representative of the motion of the animated being along at least one axis, for calculating a resultant signal representative of a statistical link between samples of signals representative of the motion belonging respectively to at least two temporally offset sliding windows over the samples, and for detecting a transient phase on the basis of the resultant signal.

Methods, devices, and systems are provided for identifying dropouts in analyte monitoring system sensor data including segmenting sensor data into a plurality of time series wherein each time series is associated with a different instance of a repeating event, selecting a first time series to analyze for dropouts from the plurality of time series; comparing the selected first time series to a second time series among the plurality of time series, determining whether the selected first time series includes a portion that is more than a predefined threshold lower than a corresponding portion of the second time series, and displaying, on a computer system display, an indication that the selected first time series includes a dropout if the selected first time series includes a portion that is more than the predefined threshold lower than the corresponding portion of the second time series.

Embodiments of the present invention provide a method and system for timing related tasks in IoT systems, for example, in relation to synchronisation of clocks and timestamping. It is desirable that the method and system is able to withstand external tampering in a manner which does not jeopardise the accuracy and integrity of time related tasks in the IoT systems.

During tracking, a rough search is performed on a face image area detected in a current frame, and when the reliability of the result of the rough search is equal to or smaller than a threshold value, a value obtained by multiplying a reliability of a rough search result detected in one previous frame by a predetermined coefficient is set as a new threshold value, and it is determined whether or not the reliability of the rough search result detected in the current frame exceeds the newly set threshold value. Then, when the reliability of the rough search result exceeds the new threshold value, the decrease in reliability of the rough search result is considered as temporary, and a tracking flag is kept on while tracking information is also held.

Methods, systems and computer program products for speech and gesture interaction of multiple users with devices using voice activated interfaces are provided herein. A computer-implemented method includes transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency, detecting motion of at least one user around the device, associating the detected motion with a gesture, and performing a function in response to the gesture. Detecting the motion includes receiving a reflected signal of the pilot signal caused by the motion of the at least one user, and detecting a shift in the reflected signal from the pilot signal, wherein detecting the shift comprises determining one or more differences between a waveform corresponding to the pilot signal and a waveform corresponding to the reflected signal.

Embodiments include circuits, apparatuses, and systems for non-boolean associative processors. In embodiments, an electronic associative processor circuit may include first and second ring oscillators, each having an odd number of inverters, an input terminal, and an output terminal. A first capacitor may have a first terminal coupled with the output terminal of the first ring oscillator and a second capacitor may have a first terminal coupled with the output terminal of the second ring oscillator. Second terminals of the first and second capacitors may be coupled at an oscillator stage output terminal. The inverters of the first and second ring oscillators may be implemented with metal oxide semiconductor transistors. Other embodiments may be described and claimed.

An optically detected power quality disturbance caused by a remote load is classified as belonging to a class of known classes of power quality disturbances. Features associated with different power quality disturbances that belong to a plurality of different known classes of power quality disturbances are learned. Cross-covariance is applied to the optically detected power quality disturbance and the different power quality disturbances that belong to the different known classes of power quality disturbances to recognize features of the optically detected power quality disturbance that at least partially match the learned features. The class of power quality disturbances among the plurality of classes of different known power quality disturbances to which the optically detected power quality disturbance belongs is determined based on the recognized features.

A computer-implemented method includes receiving a recorded audio signal recorded through an interface associated with the mobile application, adding metadata through the mobile application, confirming the metadata, receiving audio recorded from a nearby source, processing the recording based on significant features, generating digital audio fingerprints, submitting the fingerprints to a server, and detecting a type of content or media associated with the received fingerprint to provide a rich result dataset with different tagged content and metadata structures.

A method and system for remotely monitoring intoxication of a user, comprising: prompting the user to provide a breath sample at a time point; at a breath sample acquisition device, generating a breath sample signal upon reception of the breath sample from the user, and broadcasting a unique signature proximal in time to the time point; using a sensor of a mobile computing device, generating an authentication signal derived from detection of the unique signature; at a processing system in communication with the mobile computing device and the sample acquisition device, receiving the breath sample signal and the authentication signal; generating a verification assessment that validates provision of the breath sample by the user; determining a value of an intoxication metric for the user based upon the breath sample signal; and transforming the verification assessment and the value of the intoxication metric into an analysis of intoxication of the user.

Systems, methods, non-transitory computer readable media can be configured to access a plurality of sensor logs corresponding to a first machine, each sensor log spanning at least a first period; access first computer readable logs corresponding to the first machine, each computer readable log spanning at least the first period, the computer readable logs comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determine a set of statistical metrics derived from the sensor logs; determine a set of log metrics derived from the computer readable logs; and determine, using a risk model that receives the statistical metrics and log metrics as inputs, fault probabilities or risk scores indicative of one or more fault types occurring in the first machine within a second period.