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 touch control method includes steps of: providing a bright background from at least one edge of a touch surface in a first period; providing illumination light to the touch surface in a second period; capturing a first image of an indicator object blocking a portion of the bright background in the first period; and capturing a second image of the indicator object reflecting the illumination light in the second period. An optical touch system is also provided.
Abstract:
A light sensing method, applied to a light sensing system comprising a light sensor and at least one light source. The light sensor comprises a plurality of light sensing units. The light sensing method comprises: controlling the light sensor to capture images according to the light source; generating an exposure condition according brightness that each of the light sensing units senses, to control all the light sensing units to generate a target brightness distribution according to the exposure condition; and controlling the light sensing units to sense 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 wearable device including a skin sensor and a processor is provided. The processor is configured to receive an authentication data for authenticating a user when a wearing state of the wearable device is adjacent to a skin surface of the user, execute a predetermined function in response to a request when the authentication data matches a pre-stored data and the skin sensor determines that the wearable device does not leave the skin surface after the authentication data is received, and reject or ignore the request when the skin sensor determines that the wearable device leaves the skin surface before the predetermined function is executed.
Abstract:
A wearable device including a skin sensor and a processor is provided. The processor is configured to receive an authentication data for authenticating a user when a wearing state of the wearable device is adjacent to a skin surface of the user, execute a predetermined function in response to a request when the authentication data matches a pre-stored data and the skin sensor determines that the wearable device does not leave the skin surface after the authentication data is received, and reject or ignore the request when the skin sensor determines that the wearable device leaves the skin surface before the predetermined function is executed.
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 invention provides an optical touch system configured to determine an object region according to a brightness information acquired by a brightness sensing unit and to identify a block information of objects within the object region according to an image information acquired by an image sensing unit. The present invention further provides an objection detection method for an optical touch system.
Abstract:
An image brightness information adjusting method, which comprises: computing background brightness information of an image; computing a first brightness information difference between brightness information for at least one pixel of a first image line of the image and background brightness information corresponding to the first image line; and adjusting brightness information for at least one pixel of a second image line according to the first brightness information difference.
Abstract:
An apparatus and a method for acquiring object image of a pointer are provided. The apparatus is suitable for an optical touch system and is used for acquiring an object image of a pointer when the pointer interacts with a touch surface of the optical touch system. The apparatus includes an image sensor and a processing circuit. The image sensor is used for acquiring an image of the touch surface. When the pointer approaches the touch surface, the processing circuit compares at least a part of the information of a sensed image with a threshold value, so as to determine a comparison range. Then, the processing circuit determines another threshold value according to the image information in the comparison range. Afterwards, the processing circuit compares the image information in the comparison range with the aforementioned another threshold value, so as to acquire an object image of the pointer.