The present disclosure may be embodied as systems and methods for action recognition developed using a multimodal dataset that incorporates both visual data, which facilitates the accurate tracking of movement, and active acoustic data, which captures the micro-Doppler modulations induced by the motion. The dataset includes twenty-one actions and focuses on examples of orientational symmetry that a single active ultrasound sensor should have the most difficulty discriminating. The combined results from three independent ultrasound sensors are encouraging, and provide a foundation to explore the use of data from multiple viewpoints to resolve the orientational ambiguity in action recognition. In various embodiments, recurrent neural networks using long short-term memory (LSTM) or hidden Markov models (HMMs) are disclosed for use in action recognition, for example, human action recognition, from micro-Doppler signatures.

A time-series feature extraction apparatus has a coefficient outputter to output a coefficient to be used in calculation for classifying time series data into a plurality of segments, a segment position outputter to perform calculation for classifying the time series data into the plurality of segments based on the coefficient to output information on boundary positions of the plurality of segments, a cluster classifier to classify the plurality of segments into a certain number of plurality of clusters equal to or smaller than a certain number of the plurality of segments, a representative element outputter to output a representative element which represents a local feature of each of the plurality of clusters and is set for each of the plurality of segments, a feature degree calculator to calculate a feature degree of the representative element, and a representative element updater to update the representative element based on the feature degree.

A device for recognizing a fingerprint, includes: a fingerprint sensor; at least two moisture detection electrodes disposed within a preset range of the fingerprint sensor; and a processing module coupled to the fingerprint sensor and the at least two moisture detection electrodes. The fingerprint sensor is configured to output a fingerprint signal to the processing module when a user touches the fingerprint sensor and the at least two moisture detection electrodes with a finger. The processing module is configured to acquire a characteristic value which is positively related to an impedance between the at least two moisture detection electrodes when the user touches the fingerprint sensor and the at least two moisture detection electrodes with the finger; determine a fingerprint recognition parameter which matches the characteristic value; and perform fingerprint recognition according to the determined fingerprint recognition parameter and the fingerprint signal.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a target detection method, target detection system and non-volatile storage medium. The target detection method includes: acquiring an image to be detected and anchor parameters of preset type number, wherein the anchor parameters are parameters of an anchor set on the image to be detected, and each type of anchor parameters include an anchor scale and an anchor aspect ratio; inputting the image to be detected and the anchor parameters into a target detection model; and carrying out target detection on the image to be detected on the basis of the anchor parameters by the target detection model to obtain a detection result, the detection result including a category and/or a position of a target object included in the image to be detected.

An information-processing method is provided, including a step of specifying first data clusters to which the first data each belongs and second data clusters to which the second data each belongs; a step of extracting the first data belonging to one of the first data clusters and the second data acquired at a corresponding time as correspondent data; a step of totalizing the number of pieces of correspondent data included in each of the second data clusters and calculating a total value for each cluster for the second data; and a step of specifying the second data clusters which are transition destinations of the correspondent data in a subsequent time and counting the number of pieces of transition destination data which is the correspondent data transitioning from each of the second data clusters which are transition sources to the second data clusters which are the transition destinations.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

A method and system are provided for mixing of signals that, the method including the steps of receiving, by a processor, a first signal with a start point and an end point; playing, by the processor, the first signal in a looped manner; mixing, by the processor, a recorded second signal with a start point and an end point, over the first signal to produce a mixed signal wherein if; the second signal is shorter in length as compared to the first signal and also completely overlaps the first signal, the mixed signal is generated by; identifying a start time of second signal over play timeline of the first signal; laying the second signal over the first signal at the identified start time; if the second signal is shorter in length as compared to the first signal and also partially overlaps the first signal, the mixed signal is generated by slicing the second signal from the end point of the first signal to generate a pre end-time segment and a post end-time segment of the second signal; adding the post end-time segment of the second signal to a start point of the first signal; and if the second signal is longer in length as compared to the first signal and also partially overlaps the first signal, the mixed signal is generated by; repeating the first signal entirely through the length of the second signal.

A method and system are provided for identifying a matching signal from a signal bank that includes a plurality of signal, to a first signal. The method includes receiving, by a processor, the first signal; performing, by the processor, a spectral analysis of the first signal and the plurality of signals, the spectral analysis further includes; computing a chromatogram comprising a plurality of frames; splitting each of the plurality of frames into a plurality of pitch classes; analyzing each of the plurality of pitch classes; determining dominant pitch class from the plurality of pitch classes, wherein the dominant pitch class has highest frequency magnitude; and matching, by the processor, dominant pitch class of the first signal with dominant pitch class of at least one of the plurality of signals.