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:
There is provided a physiological detection device including a white light source, a molding and a pixel array. The white light source is configured to emit white light having a color temperature between 2800K and 3200K. The molding is formed upon the white light source and configured to constrain an emission angle of the white light between 60 and 80 degrees. The pixel array is covered by a filter layer having a passband between 570 nm and 620 nm configured to filter the white light.
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 exposure mechanism of an optical touch system, which includes a plurality of image sensors and a plurality of active light sources each irradiating corresponding to the associated image sensor, includes: capturing image frames using the image sensors with a sampling cycle to allow each of the image sensors to capture a bright image, wherein the sampling cycle includes a plurality of working modes and in each of the working modes at least one of the image sensors captures the bright image in a sampling interval; simultaneously capturing a dark image using all the image sensors in a denoising sampling interval; and calculating a differential image between the bright image and the dark image captured by each image sensor.
Abstract:
An optical lens is configured in front of an image-capturing lens of an image-capturing device. A light-emitting unit of the image-capturing device emits a light beam. The optical lens includes a pair of peripheral compensation portions and a central diverging portion. Each peripheral compensation portion has a first convex surface and a first concave surface arranged opposite to the first convex surface. The central diverging portion is arranged between the peripheral compensation portions, and has a second concave surface and an oppositely arranged light incident surface. The second concave surface is arranged between the first convex surfaces. The light incident surface is arranged between the first concave surfaces. The optical axis of the light beam sequentially aligns with the light incident surface and the second concave surface. The light rays of the light beam pass through the first concave surface and the first convex surface in sequence.
Abstract:
There is provided a heart rate detection device including a sensing unit for sensing emergent light from subcutaneous tissues illuminated by a single light source of multiple light colors to output multiple light detection signals associated with multiple wavelengths. The heart rate detection device further includes a processor uses the multiple light detection signals associated with the multiple wavelengths to cancel motion artifact to obtain a clean heart rate signal.
Abstract:
There is provided a system architecture including a PPG hardware module and a MEMS hardware module. The PPG hardware module processes PPG raw data, which is generally composed of analog signals or digital signals. The PPG hardware module filters the raw data for later digital calculation to, for example, find out frequency signals with higher peak values. The PPG hardware module then outputs the selected frequency signals to an MCU for heart rate calculation. The MEMS hardware module receives MEMS raw data from a motion detector made of MEMS elements. The MEMS raw data represents motion status of a user that could possibly affect the heart rate determination result. The MEMS hardware module filters the raw data for later digital calculation to find out frequency signals with higher peak values caused by motion.
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.
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:
The present disclosure provides an optical touch system and an object analyzation method thereof. The optical touch system includes a panel and an image sensing apparatus installed thereon. The object analyzation method includes the following steps: capturing a first image across a touch surface of the panel with an image sensing apparatus, wherein the first image has an object image formed corresponding to the position of a pointer on the touch surface; defining an image window that corresponds to the image position of the object image in the first image captured; determining whether the pointer is touching the touch surface or hovering over the touch surface by analyzing the brightness difference among the plurality of pixels in the image window.