Abstract: A reading device for capacitive sensing element comprises a differential capacitive sensing element, a modulator, a charge-voltage conversion circuit, a phase adjustment circuit, a demodulator and a low-pass filter. The modulator outputs a modulation signal to the common node of the capacitive sensing element and modulates the output signal of the capacitive sensing element. The two input terminals of the charge-to-voltage conversion circuit are connected to two non-common nodes of the capacitive sensing element. The charge-to-voltage converter read the output charge of the capacitive sensing element and convert it into a voltage signal. The modulator generates a demodulation signal through the phase adjustment circuit. The demodulator receives the demodulation signal from the phase adjustment circuit and demodulates the output of the charge-to-voltage conversion circuit. The low-pass filter is connected to the output of the demodulator for filtering the demodulated voltage signal to output the read signal.

Abstract: The present invention relates to a method of image fusion, which uses the brightness difference of the current frame and the previous frame to determine whether the pixel in a frame image is static or dynamic. If the current pixel is static, the previous corresponding pixel is superimposed onto the current pixel; if the current pixel is dynamic, the previous corresponding pixel is replaced with the current pixel.

Abstract: A wearable physiological measuring device has a torso-worn module and a limb-worn module configured to communicate in a wireless way with each other. The torso-worn module is configured to be coupled with a torso of a user to obtain an R-peak from an electrocardiac signal. The limb-worn module is configured to be coupled with at least one limb of four limbs of the user to obtain a pulse wave peak from a plethysmograph signal. There are no physical connections (neither wire nor cable) between the torso-worn module and the limb-worn module. The wearable physiological measuring device is configured to use the R-peak time and the pulse wave peak time to generate a pulse transit time data.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: An electrode device has a conductive body, a silver layer situated above the conductive body, a silver compound layer situated above the silver layer, a liquid absorbing and releasing element situated above the silver compound layer, a shielding element configured to cover an upper surface and a portion of a side surface of the liquid absorbing and releasing element, and a moving mechanism configured to move the shielding element reciprocally between at least two positions.

Abstract: A pedestrian detecting system includes a depth capturing unit, an image capturing unit and a composite processing unit. The depth capturing unit is configured to detect and obtain spatial information of a target object. The image capturing unit is configured to capture an image of the target object and recognize the image, thereby obtaining image feature information of the target object. The composite processing unit is electrically connected to the depth capturing unit and the image capturing unit, wherein the composite processing unit is configured to receive the spatial information and the image feature information and to perform a scoring scheme to detect and determine if the target object is a pedestrian. The scoring scheme performs weighted scoring on a spatial confidence and an appearance confidence to obtain a composite scoring value to determine if the target object is the pedestrian.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a superimposer, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the superimposer superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The image processing unit then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.

Abstract: The present invention discloses an information display system automatically adjusting the projection area and a method thereof. The method comprises steps: using a detection module to capture images of a driver and measure a distance between the detection module and the driver; recognize facial features of a driver (including a position of the driver's eye, a rotation angle of the driver's face, and a direction the driver fixates) to estimate a required displacement of the projection area on the windshield (i.e. the region inside the visual field of the driver); moving or rotating the projection device according to the required displacement of the projection area to make the projection device project images of driving information onto a correct region on the windshield.

Abstract: An automatic airview correction method comprises steps: moving a vehicle to an airview alignment pattern; capturing a plurality of airview alignment images of the surroundings of the vehicle; correcting distortion of the airview alignment images to obtain a plurality of corrected images; performing alignment compensation on the corrected images; searching for corner points of the corrected images and converting view points to obtain a plurality of view angle-converted images; and searching for corner points of the view angle-converted images, and seaming the view angle-converted images to form a panoramic airview and obtain parameters corresponding to the panoramic airview. The present invention can automatically align images and can also automatically detect corner points to seam the images of the surroundings of a vehicle, whereby to form a panoramic airview.

Abstract: The present invention discloses an information display system automatically adjusting the projection area and a method thereof. The method comprises steps: using a detection module to capture images of a driver and measure a distance between the detection module and the driver; recognize facial features of a driver (including a position of the driver's eye, a rotation angle of the driver's face, and a direction the driver fixates) to estimate a required displacement of the projection area on the windshield (i.e. the region inside the visual field of the driver); moving or rotating the projection device according to the required displacement of the projection area to make the projection device project images of driving information onto a correct region on the windshield.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a processor, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the processor superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The processor then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.

Abstract: In free space detection system and method for a vehicle, left and right images captured from the vehicle environment in a direction of travel of the vehicle are transformed to obtain a depth image with disparity values. The depth image is transformed to obtain a road function and an occupancy grid map. A cost estimation value corresponding to each disparity value on the same image column in a detecting area of the occupancy grid map is estimated using a cost function and the road function such that initial boundary disparity values each defined by one disparity value on the same image column whose the cost estimation value is maximum are optimized to obtain optimized boundary disparity values by which a free space is determined.

Abstract: An automatic airview correction method comprises steps: moving a vehicle to an airview alignment pattern; capturing a plurality of airview alignment images of the surroundings of the vehicle; correcting distortion of the airview alignment images to obtain a plurality of corrected images; performing alignment compensation on the corrected images; searching for corner points of the corrected images and converting view point s to obtain a plurality of view angle-converted images; and searching for corner points of the view angle-converted images, and seaming the view angle-converted images to form a panoramic airview and obtain parameters corresponding to the panoramic airview. The present invention can automatically align images and can also automatically detect corner points to seam the images of the surroundings of a vehicle, whereby to form a panoramic airview.

Abstract: A method and system for monitoring a driver is disclosed. Firstly, an inner cabin image of a vehicle's cabin is continuously captured. Next, a face detection of a driver for the inner cabin image is performed to obtain a face detection result. Next, the inner cabin image and the face detection result corresponding to the inner cabin image are stored. When the system observes that either the face of the driver is not detected or the face is not shown within a reasonable face region of at least two continuous inner cabin images according to each face detection result, the system outputs a warning signal to alert the driver. The invention determines a driving state of a driver in a cabin with a method of analyzing a position of a face or a head and using an image extractor having large capture range and a low resolution.

Abstract: In a method and system for detecting a driving state of a driver in a vehicle, a face recognition standard corresponding to an environmental condition within the vehicle is established based on a series of image frames generated by capturing consecutively images of the driver upon movement of the vehicle. Upon detection of a variance in the environmental condition during movement of vehicle, the face recognition standard is updated with a corrected face recognition standard corresponding to the environmental condition with the variance. It is determined based on the corrected face recognition standard and the image frames whether the driving state of the driver is a dangerous state, where the driver's face does not face a front windshield of the vehicle or where the driver's face faces the front windshield of the vehicle but one of the driver's eyes is closed.

Abstract: A vehicular collision warning system comprises at least one image capture device capturing images of blind spots, a processing unit receiving the images of blind spots from the image capture device, and at least one alert device. The processing unit identifies at least one barrier from the images and calculates the speed and transverse displacement of the barrier according to the positional change with respect to time. The processing unit presets at least one attention area on the image, estimates whether the barrier will appear in the attention area, sends out an alert-triggering signal to trigger the alert devices to generate sound, light, or pictures to warn the driver early. Cooperating with the speed sensor, brake system and turn light system, the vehicular collision warning system can trigger different alert signals according to the grading of danger to actively warn the driver early.

Abstract: In a method and system for detecting a driving state of a driver in a vehicle, a face recognition standard corresponding to an environmental condition within the vehicle is established based on a series of image frames generated by capturing consecutively images of the driver upon movement of the vehicle. Upon detection of a variance in the environmental condition during movement of vehicle, the face recognition standard is updated with a corrected face recognition standard corresponding to the environmental condition with the variance. It is determined based on the corrected face recognition standard and the image frames whether the driving state of the driver is a dangerous state, where the driver's face does not face a front windshield of the vehicle or where the driver's face faces the front windshield of the vehicle but one of the driver's eyes is closed.

Abstract: A method and system for monitoring a driver is disclosed. Firstly, an inner cabin image of a vehicle's cabin is continuously captured. Next, a face detection of a driver for the inner cabin image is performed to obtain a face detection result. Next, the inner cabin image and the face detection result corresponding to the inner cabin image are stored. When the system observes that either the face of the driver is not detected or the face is not shown within a reasonable face region of at least two continuous inner cabin images according to each face detection result, the system outputs a warning signal to alert the driver. The invention determines a driving state of a driver in a cabin with a method of analyzing a position of a face or a head and using an image extractor having large capture range and a low resolution.

Abstract: A vehicular collision warning system comprises at least one image capture device capturing images of blind spots, a processing unit receiving the images of blind spots from the image capture device, and at least one alert device. The processing unit identifies at least one barrier from the images and calculates the speed and transverse displacement of the barrier according to the positional change with respect to time. The processing unit presets at least one attention area on the image, estimates whether the barrier will appear in the attention area, sends out an alert-triggering signal to trigger the alert devices to generate sound, light, or pictures to warn the driver early. Cooperating with the speed sensor, brake system and turn light system, the vehicular collision warning system can trigger different alert signals according to the grading of danger to actively warn the driver early.

Abstract: The present invention relates to novel compounds that are useful for inhibition and prevention of cell adhesion and cell adhesion-mediated pathologies. This invention also relates to pharmaceutical formulations comprising these compounds and methods of using them for inhibition and prevention of cell adhesion and cell adhesion-mediated pathologies. The compounds and pharmaceutical compositions of this invention can be used as therapeutic or prophylactic agents. They are particularly well-suited for treatment of many inflammatory and autoimmune diseases.