Abstract: A fabric-based pressure sensor array includes: (1) a first layer including M elongated conductive strips coated thereon; (2) a second layer including N elongated conductive strips coated thereon, the M elongated conductive strips extending crosswise relative to the N elongated conductive strips to define M×N intersections; and (3) a unitary textile sheet extending between the first layer and the second layer so as to overlap the M×N intersections, the textile sheet having a variable resistivity in response to applied pressure so as to define M×N pressure sensors at locations corresponding to the M×N intersections.

Abstract: The disclosure provides a multimodal speech recognition method and system, and a computer-readable storage medium. The method includes calculating a first logarithmic mel-frequency spectral coefficient and a second logarithmic mel-frequency spectral coefficient when a target millimeter-wave signal and a target audio signal both contain speech information corresponding to a target user; inputting the first and the second logarithmic mel-frequency spectral coefficient into a fusion network to determine a target fusion feature, where the fusion network includes at least a calibration module and a mapping module, the calibration module is configured to perform mutual feature calibration on the target audio/millimeter-wave signals, and the mapping module is configured to fuse a calibrated millimeter-wave feature and a calibrated audio feature; and inputting the target fusion feature into a semantic feature network to determine a speech recognition result corresponding to the target user.

Abstract: A method and an apparatus for acquiring semantic information, an electronic device and a storage medium are provided. The method includes: collecting an echo signal of vibrations of a throat; performing a Fourier transform on a waveform of each period of the echo signal to obtain a spectrogram of each period, wherein the spectrograms of M periods form a spectrogram set, the spectrogram set includes M spectrograms, and the spectrograms are arranged in sequence from first to last according to a return time sequence of the corresponding echo signal; extracting a characteristic waveform of the vibrations of the throat from the spectrogram set; segmenting the characteristic waveform to obtain characteristic segments containing the semantic information; and inputting the characteristic segments into a semantic acquisition model to acquire the semantic information.

Abstract: A physical token-based centralized authentication system for IoT devices is provided. The system transfers authentication of the IoT device on cloud to the IoT gateway for centralized authentication. User may respond on the IoT gateway via a U2F token to complete authentication of the IoT device. By transferring a kernel of authentication from a large number of scattered single IoT terminals to nodes of the trusted IoT gateway, the system overcomes defects such as numerous IoT devices, limited terminal resources, high authentication cost, and cumbersome operations while enhancing security of the IoT environment, thereby enhancing security of authentication for IoT environment and improving efficiencies of device authentication and management.

Abstract: This disclosure relates to systems and methods to analyze gait, balance or posture information extracted from data collected by one or more wearable and connected sensor devices with sensors embedded therewithin. The embedded sensors include a three-axis accelerometer, a three-axis gyroscope and an array of pressure sensors. Sensor data detected by the sensors can be received by a mobile computing device, which can analyze the sensor data to identify a pattern related to gait, balance or posture within the sensor data; and apply a statistical/machine learning-based classification to the pattern related to gait, balance or posture to assign a clinical parameter to the pattern characterizing a risk of a slip, trip and fall event.

Abstract: Methods and systems are provided for authenticating an individual using a motion of a physiological structure. For example, an individual may be authenticated using their cardiac motion. A first radiofrequency (“RF”) signal is transmitted towards the physiological structure of the individual. A first RF return signal is received, where the first RF return signal corresponds to the transmitted first RF signal. The first RF signal and first RF return signal are processed to obtain a motion signal. One or more values are determined for each fiducial point of a set of pre-determined fiducial points in the motion signal. The set of pre-determined fiducial points corresponds to physical movements of the physiological structure. The individual is authenticated based on the values of one or more fiducial points.

Abstract: This disclosure relates to systems and methods to analyze gait, balance or posture information extracted from data collected by one or more wearable and connected sensor devices with sensors embedded therewithin. The embedded sensors include a three-axis accelerometer, a three-axis gyroscope and an array of pressure sensors. Sensor data detected by the sensors can be received by a mobile computing device, which can analyze the sensor data to identify a pattern related to gait, balance or posture within the sensor data; and apply a statistical/machine learning-based classification to the pattern related to gait, balance or posture to as sign a clinical parameter to the pattern characterizing a risk of a slip, trip and fall event.

Abstract: A fabric-based pressure sensor array includes: (1) a first layer including M elongated conductive strips coated thereon; (2) a second layer including N elongated conductive strips coated thereon, the M elongated conductive strips extending crosswise relative to the N elongated conductive strips to define M×N intersections; and (3) a unitary textile sheet extending between the first layer and the second layer so as to overlap the M×N intersections, the textile sheet having a variable resistivity in response to applied pressure so as to define M×N pressure sensors at locations corresponding to the M×N intersections.

Abstract: A system includes a pressure sensitive material that provides an indication of applied pressure for multiple locations on the material, and an analysis device in communication with the pressure sensitive material. The analysis device receives the indication of applied pressure, determines, for each of multiple measurement periods, a pressure image from the indication of applied pressure such that a sequence of pressure images is determined, and constructs a manifold representing the sequence of pressure images.

Abstract: A fabric-based pressure sensor array includes: (1) a first layer including M elongated conductive strips coated thereon; (2) a second layer including N elongated conductive strips coated thereon, the M elongated conductive strips extending crosswise relative to the N elongated conductive strips to define M×N intersections; and (3) a unitary textile sheet extending between the first layer and the second layer so as to overlap the M×N intersections, the textile sheet having a variable resistivity in response to applied pressure so as to define M×N pressure sensors at locations corresponding to the M×N intersections.

Abstract: A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.

Abstract: A system includes a pressure sensitive material that provides an indication of applied pressure for multiple locations on the material, and an analysis device in communication with the pressure sensitive material. The analysis device receives the indication of applied pressure, determines, for each of multiple measurement periods, a pressure image from the indication of applied pressure such that a sequence of pressure images is determined, and constructs a manifold representing the sequence of pressure images.

Abstract: A fabric-based pressure sensor array includes: (1) a first layer including M elongated conductive strips coated thereon; (2) a second layer including N elongated conductive strips coated thereon, the M elongated conductive strips extending crosswise relative to the N elongated conductive strips to define M×N intersections; and (3) a unitary textile sheet extending between the first layer and the second layer so as to overlap the M×N intersections, the textile sheet having a variable resistivity in response to applied pressure so as to define M×N pressure sensors at locations corresponding to the M×N intersections.

Abstract: A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.

Abstract: An inbound/outbound call record processing system and method processes outbound call records for use with inbound telephone calls. The call record processing system includes a call record finder that finds outbound call records that match an inbound telephone call, for example, by searching a call record index table including a plurality of indexed call records corresponding to a plurality of outbound call records in one or more outbound call lists. One way of finding matching outbound call records is by receiving and automatically identifying a telephone number associated with the inbound telephone call and searching for an indexed call record having a searchable key field that matches the telephone number. If no records are found by searching for the telephone number, a search can be made based upon requested information provided by the calling party.