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 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: 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 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: 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: 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: 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 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 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: 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 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: 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 method of living body detection includes: capturing a plurality of images of an object under test by using an image sensor; calculating variations of brightness values of pixel units of the plurality of images; and, determining whether the object under test is a living body according to the variations.

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: 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 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.