Abstract: Disclosed herein systems and methods providing an electrochemical cell for concentrating ions. The electrochemical cell can comprise a first electrode, a second electrode, and a first solution in fluid communication with the first electrode and the second electrode. The first solution can contain a first ion and a second ion, the second ion being different than the first ion, and a molecular sieve disposed on the first electrode. The molecular sieve can be configured to selectively permit the first ion to pass from the solution to the first electrode. The molecular sieve can be further configured to selectively prevent the second ion from passing from the first solution to the first electrode.

Abstract: A people-flow analysis system includes an image source, a computing device, and a host. The image source captures a first image and a second image. The computing device is connected to the image source. The computing device identifies the first image according to a data set to generate a first detecting image. The first detecting image has a position box corresponding to a pedestrian in the first image. The computing device generates a tracking image according to the data set and a difference between the first detecting image and the second image. The tracking image has another position box corresponding to a pedestrian in the second image. The host is connected to the computing device and generates a people-flow list according to the first detecting image and the tracking image.

Abstract: Disclosures of the present invention describe a non-contact physiological signal measuring device comprising a light sensing unit and a signal processing module, wherein the light sensing unit is adopted for collecting a scattered light from a surface of a sensing portion of a subject. After receiving the scattered light by a signal receiving unit of the signal processing module, a signal processing unit can subsequently obtain physiological characteristic(s) after applying signal process to a physiological signal with respect to the scattered light. Particularly, this novel non-contact physiological signal measuring device does not include any one camera or image capturing unit, such that the subject is able to receive a physiological signal measurement in the case of having well a personal privacy protection as well as preventing the subject's skin from being hurt.

Abstract: The present invention provides a physiological information detection method for calculating a physiological value by using changes of a dynamic image. The detection method includes: acquiring detection data from a gray-scale value of the dynamic image, and transforming the detection data into frequency data. The detection method further includes: determining whether the frequency data meet a preset condition, and using a transformation model of a corresponding transformation combination accordingly to transform the frequency data into a physiological value. The present invention further provides a physiological information detection device applying the detection method.

Abstract: A non-contact heartbeat rate measurement system includes an image sensor, a target region selecting module, a heartbeat signal calculating module, a spectrum analyzing module, a vibration detecting module, a heartbeat peak selecting module. When a signal quality indicator is greater than a threshold value, and a first peak with global highest signal intensity in a heartbeat spectrum is similar to a face vibration frequency, the heartbeat peak selecting module selects a second peak with local highest signal intensity from a part frequency band of the heartbeat spectrum as an output heartbeat frequency. A non-contact heartbeat rate measurement method and an apparatus are disclosed herein.

Abstract: A biological image processing method is provided. The method acquires first time-frequency data from an image data; processing the first time-frequency data into the second time-frequency data using a filter module; and converting the second time-frequency data into a time domain signal. The filter module is obtained by machine learning, and is trained using a first sample time-frequency signal as input and a second sample time-frequency signal as output, wherein the noise of the time domain signal corresponding to the second sample time-frequency signal is less than the noise of the time domain signal corresponding to the first sample time-frequency signal. A biological information detection device is also provided.

Abstract: A method for assessing driver fatigue is implemented by a processor and includes steps of: based on images of a driver captured by an image capturing device, obtaining an entry of physiological information that indicates a physiological state of the driver; based on one of the images of the driver, obtaining an entry of facial expression information that indicates an emotional state of the driver; based on one of the images of the driver, obtaining an entry of behavioral information that indicates driver behavior of the driver; and based on the entry of physiological information, the entry of facial expression information and the entry of behavioral information, obtaining a fatigue score that indicates a level of fatigue of the driver.

Abstract: The present invention provides a contactless-type sport training monitor method, comprising: selecting at least an image database to recognize a plurality of expressions in the image database; making pre-processing for the plurality of expressions: using a convolutional neural network as a feature point extraction model; acquiring a human image; tracking a first target region and a second target region in the human image; making chrominance-based rPPG trace extraction; using the deep level model to compare the second target region image; and to calculate a post-exercise heart rate recovery achievement ratio, to judge the Rating of Perceived Exertion, and judging whether the human body is under overtraining status or not.

Abstract: A method for evaluating systolic and diastolic blood pressures of a subject for a blood pressure detecting system is disclosed. The blood pressure detecting system includes a processing module and an image capturing module configured to continuously records a hand and a face of a subject to retrieve multiple hand and face images associated with the subject. The method includes, by the processing module, obtaining biological information related to blood pressure of the subject according to the multiple hand and face images retrieved by the image capturing module; and, by the processing module, obtaining prediction results of systolic and diastolic blood pressures of the subject according to the biological information related to blood pressure of the subject.

Abstract: An identity recognition system includes a target region acquisition module, a photoplethysmography signal conversion module, a biometric characteristic conversion module, a face characteristic acquisition module, and a comparison module. The target region acquisition module is configured to acquire a plurality of target region images from a plurality of face images. The photoplethysmography signal conversion module is configured to generate a photoplethysmography signal according to the target region images. The biometric characteristic conversion module is configured to convert the photoplethysmography signal into a biometric characteristic. The face characteristic acquisition module is configured to acquire a face characteristic from the face images.

Abstract: The present invention provides an image based blood pressure monitoring method, comprising: acquiring at least a human image information of at least a human skin area; according to the human image information to locate at least a ROI; extracting the human image information of the ROI, and calculate; filtering the average value of the human image information; monitoring the filtered signal; calculating an image pulse transmit time of the filtered signal, and calculating an inter-beat interval of the filtered signal; and employ the specific prediction model, to calculate a systolic pressure value and a diastolic pressure value.

Abstract: A people-flow analysis system includes an image source, a computing device, and a host. The image source captures a first image and a second image. The computing device is connected to the image source. The computing device identifies the first image according to a data set to generate a first detecting image. The first detecting image has a position box corresponding to a pedestrian in the first image. The computing device generates a tracking image according to the data set and a difference between the first detecting image and the second image. The tracking image has another position box corresponding to a pedestrian in the second image. The host is connected to the computing device and generates a people-flow list according to the first detecting image and the tracking image.

Abstract: The present invention is related to an issue-manage-style internet public opinion information evaluation management system and method thereof. The system mainly comprises 5 modules of 1) Issue establish/setup module for establishing new issue and the keywords thereof; 2) public opinion information collection module for retrieving and analyzing data retrieved by dredge technology, program, and community web-site open API; 3) public opinion information reputation analysis module for calculating each public opinion information evaluation score by text reputation analysis and community interactive fuzzy analysis; 4) issue trend analysis module for calculating issue trend score by disclosed method based on daily, weekly, or monthly public opinion information reputation evaluation score; 5) issue related public opinion information exchange module for presenting issue related public opinion information on each management interface or message alert of each system via internet exchange standards.

Abstract: A silencer structure connected to an air duct includes a housing having two open ends and an accommodating chamber. The housing extends along an extending direction. At least one noise-reducing module is provided in the accommodating chamber and includes two spaced first noise-reducing plates extending along the extending direction. Respective two ends of the two first noise-reducing plates are connected to two fixing plates. A first cavity is formed between the two first noise-reducing plates. At least one second noise-reducing plate is provided in the first cavity. The second noise-reducing plate is perpendicular to the first noise-reducing plates and the extending direction. Each first noise-reducing plate is formed with a plurality of micro-perforations. Each micro-perforation is perpendicular to the extending direction. Each micro-perforation has a diameter less than a thickness of the first noise-reducing plates. The housing may be deflected at an angle relative to the air duct.

Abstract: A non-contact heartbeat rate measurement system includes an image sensor, a target region selecting module, a heartbeat signal calculating module, a spectrum analyzing module, a vibration detecting module, a heartbeat peak selecting module. When a signal quality indicator is greater than a threshold value, and a first peak with global highest signal intensity in a heartbeat spectrum is similar to a face vibration frequency, the heartbeat peak selecting module selects a second peak with local highest signal intensity from a part frequency band of the heartbeat spectrum as an output heartbeat frequency. A non-contact heartbeat rate measurement method and an apparatus are disclosed herein.

Abstract: The present invention provides an image based blood pressure monitoring method, comprising: acquiring at least a human image information of at least a human skin area; according to the human image information to locate at least a ROI; extracting the human image information of the ROI, and calculate; filtering the average value of the human image information; monitoring the filtered signal; calculating an image pulse transmit time of the filtered signal, and calculating an inter-beat interval of the filtered signal; and employ the specific prediction model, to calculate a systolic pressure value and a diastolic pressure value.

Abstract: The present invention provides an imaging-type heart rate monitoring device and method thereof. It acquires the human image information tracks the target area in the human image information, and extracts the target image in the target area. It transforms the human image information through the first frequency domain transform. It filters the residual noise of the continuous wavelet transform information. It rebuilds the residual noise filtered information by the continuous wavelet transform. It transforms the continuous wavelet transform rebuilt information by the Fourier transform. It obtains a heart rate value through the second frequency domain transformed information.

Abstract: The present invention provides a contactless-type sport training monitor method, comprising: selecting at least an image database to recognize a plurality of expressions in the image database; making pre-processing for the plurality of expressions: using a convolutional neural network as a feature point extraction model; acquiring a human image; tracking a first target region and a second target region in the human image; making chrominance-based rPPG trace extraction; using the deep level model to compare the second target region image; and to calculate a post-exercise heart rate recovery achievement ratio, to judge the Rating of Perceived Exertion, and judging whether the human body is under overtraining status or not.

Abstract: A monitoring system for infant includes image sensors, a face region determination module, a human face identification module, a non-contact physiological information measurement module and a physiological information determination module. The image sensors are configured to capture images consecutively. The face region determination module is configured to determine whether images include a face region. When not include, the face region determination module outputs a first warning information and when include, the human face identification module is configured to identify a monitored person in images to extract the historical information. The non-contact physiological information measurement module is configured to calculate color difference of each pixel of the face region, output heartbeat waveform and calculate physiological information.

Abstract: A reluctance motor and a flux barrier structure thereof are provided. The flux barrier structure is disposed in a rotor, and the flux barrier structure has at least one flux barrier space and a plurality of support bars. The flux barrier space is formed by at least one surrounding wall of the rotor. The support bars are intersected with each other in the flux barrier space, and the support bars are extended from one side of the enclosure wall to the opposite side thereof.