System and computer-implemented method for detecting and categorizing pathologies through an analysis of pulsatile blood flow. The method has a pulsatile blood flow signal of a subject, extracting a set of features from the pulsatile blood flow signal; and categorizing a pathology based on the extracted features. The extracted features may be predetermined features or features learned through a machine learning algorithm. For the categorization, a classification or a regression algorithm may be used to provide an index or a value score as a biomarker. Additional static features of the subject may be used in the categorization.

A method of gesture recognition is provided comprising: receiving data from each of a first sensor, a second sensor, a third sensor and a fourth sensor in a wearable glove device, data from the first sensor relating to movement of a thumb, data from the second sensor relating to movement of a first finger, data from the third sensor relating to movement of a middle finger and data from the fourth sensor relating to movement of a hand; forming an input sequence from the data; comparing the input sequence to each of a plurality of reference sequences by applying dynamic time warping to determine a similarity measure, wherein each reference sequence corresponds to an item in a stored vocabulary; and determining an output item from the stored vocabulary using the similarity measure.

A system for determining occupancy in an environment is provided. The system includes plurality of sensor bundles, with each bundle including a presence sensor and a motion sensor. The system further includes a controller in communication with each sensor bundle. The controller is configured to designate one of the sensor bundles as presence triggered if persons are present within a field of view of the presence sensor. The controller is further configured to designate one of the sensor bundles as motion triggered if persons are moving within a field of view of the motion sensor. The controller is further configured to determine a triggered bundle count of the sensor bundles which are both presence triggered and motion triggered. The controller is further configured to determine an occupancy count for the environment based upon the triggered bundle count.

Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

Embodiments of this application disclose a payment method, a client, an electronic device, a storage medium, and a server. The method includes: receiving a payment instruction of a user; generating, according to audio information in a voice input of the user, a voice feature vector of the audio information; performing matching between the voice feature vector and a user feature vector; and when the matching succeeds, sending personal information associated with the user feature vector to a server, so that the server performs a payment operation for a resource account associated with the personal information. The method can bring convenience to shopping by a consumer.

A method for classifying a response signal of acceleration data of a structure includes obtaining at least one signal feature of a response signal, inputting the at least one signal feature into an artificial neural network, and classifying, using the artificial neural network, the response signal as an impact event or a non-impact event. One or more signal features may be used, including a response length feature, a number of peaks feature, a spectral energy feature, a dominant frequency feature, a maximum response feature, a center of mass feature, a slope feature, an average peak power feature, a response symmetry feature, or combinations thereof. One or more artificial neural networks may be used. The artificial neural networks may be trained using different combinations of signal features.

A signal translating method may include, according to one aspect of the present application, receiving a source signal of a first domain; identifying erroneous features and effective features from the source signal; translating the source signal of the first domain into a first virtual signal of a second domain, the first virtual signal is that in which erroneous features included in the source signal has been removed; and outputting the first virtual signal. Therefore, the virtual signal of the second domain in which the erroneous features removed may be output.

A radiation image display apparatus that constitutes a radiation imaging system includes a displayer and a hardware processor that acquires image data of a dynamic image constituted of a plurality of frame images, image data of an analysis dynamic image obtained by applying predetermined image processing to the image data of the dynamic image and image data of a related dynamic image which is related to the dynamic image or the analysis dynamic image respectively, and causes the displayer to display the related dynamic image together with the dynamic image and the analysis dynamic image.

A gated truncated readout system for position sensitive or imaging detectors that improves resolution over traditional readout systems. The readout system includes two or more amplifiers that receive a multichannel output analog data from the detector. Analog gates control circuitry, included in the readout circuit, receives the signals from the amplifiers, determines a fractional value of the sum-integral of the signals, and enables analog gates operation around an area of interest, disabling all other channels where noise dominates the signal value and thereby improving interpolation accuracy of the signals centroid position and the detector resolution. Filtered signals are transmitted to a centroid interpolation signal processing device for computation of the centroid position. As a result disabling all channels where noise dominates the signal value, the gated truncated readout system provides better accuracy improved detector resolution.

A waveform generation identification method includes: comparing individual waveform data obtained by a plurality of sensors, with at least one piece of characteristic waveform information; determining appearance probability of characteristic waveform information in at least a certain section of the waveform data, based on a degree of correlation between a peak section of the waveform data and the characteristic waveform information; and identifying a time when a section matching with the characteristic waveform information appears and a concerned sensor, based on the appearance probability.