Pixart Imaging Incorporated

Pixart Imaging Incorporation

Pixart Imaging Incorporation, R.o.c.

Fixart Imaging Incorporated

Chih-Hsin Lin

Tzung-Min Su

Ren-Hau Gu

Ming-Tsan Kao

Hsin-Chia Chen

Tzu-Yi Chao

Cho-Yi Lin

Cheng-Nan Tsai

Yung-Chang Lin

Chang-Che Tsai

Han-Ping Cheng

Yi-Fang Lee

Yu-Chia Lin

Yen-Min Chang

Yi-Hsien Ko

Chi-Chieh Liao

Chih-Hung Lu

Jian-Cheng Liao

Ming-Chang Li

Yu-Hsiang Huang

Chien-Lung Liao

Chun-Chih Chen

Yu-Hao Huang

Shu-Sian Yang

Wen-Han Yao

Chun-Yi Lu

Teng Wei Hsu

Hsuan-Hsien Lee

Jia-Hong Huang

Yaun-Yu Peng

Chuan-Ching Lin

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.

Heart rate detection device and physiological detection device

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.

Heart rate detection architecture

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.

Light sensing method, physiological parameter computing method and light sensing system

Heart rate detection device and operating method thereof, physiological detection device

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.

Wearable device having higher security and skin sensor equipped thereon

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.

Host of physiological detection system and physiological detection device with high accuracy

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.

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.

Digital signal processing device and denoising method of heart rate detection module

Heart rate detection module, and detection and denoising method thereof

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.

Exposure mechanism of optical touch system and optical touch system using the same

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.

Image brightness adjusting method, object tracking method and object tracking apparatus

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.

Optical touch system and object detection method therefor

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Hsin-Chu, Taiwan

Chih-Hsin Lin