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 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: Example methods and systems for policy-aware traffic forwarding for multiple types of network traffic are described. In one example, a computer system may extract identification information associated with a first client, wherein the first client is associated with a first type of network traffic and obtain a first policy associated with the first client. In response to detecting first network traffic of the first type from the first client, the computer system may (a) interwork the first network traffic into a data plane entity associated with the second type of network traffic, and (b) forward the first network traffic via the data plane entity according to the first policy. In response to detecting second network traffic of the second type from a second client, the computer system may forward the second network traffic via the data plane entity according to a second policy associated with the second client.

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 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 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.