Abstract: A heart rate detection module including a PPG measuring device, a motion sensor and a processing unit is provided. The PPG measuring device is configured to detect a skin surface in a detection period to output a PPG signal. The motion sensor is configured to output an acceleration signal corresponding to the detection period. The processing unit is configured to respectively convert the PPG signal and the acceleration signal to first frequency domain information and second frequency domain information, determine a denoising parameter according to a maximum spectrum peak value of the second frequency domain information to denoise the first frequency domain information, and calculate a heart rate according to a maximum spectrum peak value of the denoised first frequency domain information.

Abstract: A physiological detection system including an image sensor, a converting unit, a retrieving unit and a processing unit is provided. The image sensor includes a plurality of pixels respectively configured to output a PPG signal. The converting unit is configured to convert a plurality of PPG signals of a plurality of pixels regions to a plurality of frequency domain signals. The retrieving unit is configured to respectively retrieve a spectral energy of the frequency domain signals corresponding to each of the pixel regions. The processing unit is configured to construct a 3D energy distribution according to the spectral energies.

Abstract: There is provided a physiological detection system including a physiological detection device and a host. The physiological detection device is configured to transmit a physiological data series to the host according to a local oscillation frequency. The host is configured to calculate a physiological value according to the physiological data series and determine a correction parameter according to a receiving data parameter and a reference data parameter, wherein the correction parameter is configured to correct the physiological value, process the physiological data series or adjust the local oscillation frequency of the physiological detection device.

Abstract: An action recognition system is illustrated. The action recognition system has an annular body, at least one light emitting unit, at least one light sensing unit and an action recognition module. The annular body is worn on a movable part of a user. One end of the light emitting unit is exposed on an inner side of the annular body, wherein the light emitting unit emits a first light beam illuminating at least a portion of the movable part. One end of the light sensing unit is exposed on the inner side of the annular body. The light sensing unit operatively senses a second light beam reflected by the at least portion of the movable part and generates a light sensing signal. The action recognition module is configured to operatively determine an action of the user according to the light sensing signal.

Abstract: A physiological detection system including an image sensor, a converting unit, a retrieving unit and a processing unit is provided. The image sensor includes a plurality of pixels respectively configured to output a PPG signal. The converting unit is configured to convert a plurality of PPG signals of a plurality of pixels regions to a plurality of frequency domain signals. The retrieving unit is configured to respectively retrieve a spectral energy of the frequency domain signals corresponding to each of the pixel regions. The processing unit is configured to construct a 3D energy distribution according to the spectral energies.

Abstract: There is provided a physiological detection system including a physiological detection device and a host. The physiological detection device is configured to transmit a physiological data series to the host according to a local oscillation frequency. The host is configured to calculate a physiological value according to the physiological data series and determine a correction parameter according to a receiving data parameter and a reference data parameter, wherein the correction parameter is configured to correct the physiological value, process the physiological data series or adjust the local oscillation frequency of the physiological detection device.

Abstract: An action recognition system is illustrated. The action recognition system has an annular body, at least one light emitting unit, at least one light sensing unit and an action recognition module. The annular body is worn on a movable part of a user. One end of the light emitting unit is exposed on an inner side of the annular body, wherein the light emitting unit emits a first light beam illuminating at least a portion of the movable part. One end of the light sensing unit is exposed on the inner side of the annular body. The light sensing unit operatively senses a second light beam reflected by the at least portion of the movable part and generates a light sensing signal. The action recognition module is configured to operatively determine an action of the user according to the light sensing signal.

Abstract: An image processing method includes obtaining a background picture including a first and second pixel, wherein the first pixel has a first intensity value in response to that a first sensing element is operated by a fixed exposure time, and the second pixel has a second intensity value in response to that a second image sensing element is operated by the fixed exposure time; extracting the first and second intensity value from the first and second pixel, respectively; performing a computing operation including computing a first exposure time and a second exposure time; and operating the first image sensing element by the first exposure time and the second image sensing element by the second exposure time after the computing operation.

Abstract: An imaging device including a pixel matrix and a processor is provided. The pixel matrix includes a plurality of phase detection pixels and a plurality of regular pixels. The processor performs autofocusing according to pixel data of the phase detection pixels, and determines an operating resolution of the regular pixels according to autofocused pixel data of the phase detection pixels, wherein the phase detection pixels are always-on pixels and the regular pixels are selectively turned on after the autofocusing is accomplished.

Abstract: A biometric detection module including a light source module, a detection region and a control module is provided. The light source module is configured to emit green light, red light and IR light in a time division manner to illuminate a skin surface. The detection region is configured to detect penetration light emitted from the light source module for illuminating the skin surface and passing through body tissues to correspondingly generate a green light signal, a red light signal and an IR light signal. The control module is configured to determine a filtering parameter according to the green light signal to accordingly filter the red light signal and the IR light signal, and calculate a biometric characteristic according to at least one of the green light signal, a filtered red light signal and a filtered IR light signal.

Abstract: An imaging device including a pixel matrix and a processor is provided. The pixel matrix includes a plurality of phase detection pixels and a plurality of regular pixels. The processor performs autofocusing according to pixel data of the phase detection pixels, and determines an operating resolution of the regular pixels according to autofocused pixel data of the phase detection pixels, wherein the phase detection pixels are always-on pixels and the regular pixels are selectively turned on after the autofocusing is accomplished.

Abstract: An image processing method capable of detecting noise includes adjusting a lighting unit to acquire an over-exposure image, comparing each pixel of the over-exposure image with at least one threshold value, labeling a pixel of the over-exposure image as the noise while bright intensity of the pixel is lower than the threshold value, calculating a simulating value according to bright intensity of pixels around the noise and except the noise, and utilizing the simulating value and bright intensity of other pixels except the noise to execute a displacement detecting calculation.

Abstract: A method for measuring physiologically characteristics of user includes: using at least one light emitting unit to emit light ray including first light component corresponding to first wavelength and second light component corresponding to second wavelength different from the first wavelength; using an image sensing circuit to sense and generate at least one physiologically characteristics measurement signal in response to the light ray; performing an offset calibration operation upon the physiologically characteristics measurement signal to generate at least one calibrated measurement signal; and, calculating the calibrated measurement signal to estimate a physiologically characteristics result.

Abstract: A biometric detection module including a light source module, a detection region and a control module is provided. The light source module is configured to emit green light, red light and IR light in a time division manner to illuminate a skin surface. The detection region is configured to detect penetration light emitted from the light source module for illuminating the skin surface and passing through body tissues to correspondingly generate a green light signal, a red light signal and an IR light signal. The control module is configured to determine a filtering parameter according to the green light signal to accordingly filter the red light signal and the IR light signal, and calculate a biometric characteristic according to at least one of the green light signal, a filtered red light signal and a filtered IR light signal.

Abstract: A physiological detection system including an array sensor and a processing unit is provided. The array sensor is configured to output array PPG signals. The processing unit is configured to construct a 3D energy distribution according to the array PPG signals to accordingly identify different microcirculation states.

Abstract: This instant disclosure provides a heart rate detecting module which includes an image sensor and a processor. The image sensor generates a plurality of image frames according to a light from a subject. The processor outputs a heart rate value based on a light intensity variance of the plurality of image frames. This instant disclosure further provides a heart rate detecting method which includes the following steps. A plurality of image frames are generated according to a light from a subject by an image sensor, and a heart rate value is outputted based on a light intensity variance of the plurality of image frames by a processor.

Abstract: A heart rate detection module including a PPG measuring device, a motion sensor and a processing unit is provided. The PPG measuring device is configured to detect a skin surface in a detection period to output a PPG signal. The motion sensor is configured to output an acceleration signal corresponding to the detection period. The processing unit is configured to respectively convert the PPG signal and the acceleration signal to first frequency domain information and second frequency domain information, determine a denoising parameter according to a maximum spectrum peak value of the second frequency domain information to denoise the first frequency domain information, and calculate a heart rate according to a maximum spectrum peak value of the denoised first frequency domain information.

Abstract: A method for dynamically learning a material of a working surface on which an optical navigation device is moving, includes: using light emitting unit (s) to emit light ray (s) to the surface so as to generate image(s) on an image sensor; estimating and calculating average offset(s) of image(s) of sensing pixel(s) of the image sensor according to at least one image motion information sensed by the sensing pixel(s) during a specific time; and, dynamically determining whether the image value(s) sensed by the sensing pixel (s) correspond to a fixed pattern or correspond to a feature image of the device moving on the surface according to the average offset(s) and a threshold.

Abstract: An optical detecting module with waterproofing function can be installed on a housing of a wearable device and includes an optical detecting component, a light source and a packaging structure. The light source is disposed by the optical detecting component, and the packaging structure provides the waterproofing function to the optical detecting component and the light source. The packaging structure includes a main body, a light emitting unit, alight incoming unit and a waterproofing component. The main body covers the optical detecting component and the light source. The light emitting unit and the light incoming unit are disposed on the main body and respectively face the light source and the optical detecting component. The waterproofing component is filled into a gap formed between the main body and the housing, to prevent moisture from leaking into the gap to rust terminals of the optical detecting component and the light source.

Abstract: A light sensing method applied to a light sensing system comprising a first light sensor and at least one light source. The first light sensor comprises a plurality of light sensing units. The light sensing method comprises: (a) respectively controlling an exposure condition for each of the light sensing units according distances between each one of the light sensing units and the light source; and (b) controlling the light sensing units to sense the light from the light source according to the exposure condition. The light sensing system can have a better SNR via adjusting the exposure condition for each one of the light sensing units. Such light sensing method can be applied to compute physiological parameters.