# US 2018/0322328 A1 · Method for determining vital sign information, identity authentication method and apparatus > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0322328 A1 - Document ID: US20180322328A1 - Status: Published application - Kind: A1 - Application number: 15/793,966 - Filed: 2017-10-25 - Published: 2018-11-08 - Earliest claimed: 2017-05-03 - Assignees: Shenzhen Goodix Technology Co., Ltd. - Applicants: Shenzhen Goodix Technology Co., Ltd. - Inventors: Shu PANG; Jianhua LIANG; Zhixin ZHONG; Hua ZHONG - Web page: https://patentgrep.com/patent/US20180322328A1 ## CPC - G06V 40/1382: {Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger} - A61B 5/0059: {using light, e.g. diagnosis by transillumination, diascopy, fluorescence (photoacoustic A61B5/0093; optical measurement of heart rate A61B5/02416; optical measurement of blood flow A61B5/0261; optical measurement of analytes A61B5/1455)} - A61B 5/024: Measuring pulse rate or heart rate - A61B 5/117: Identification of persons (methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00) - A61B 5/1172: using fingerprinting - A61B 5/68: {Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient} - G06V 40/1388: {using image processing} - G06V 40/1365: {Matching; Classification} - G06V 40/15: {Biometric patterns based on physiological signals, e.g. heartbeat, blood flow} - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract Embodiments of the present application provide a vital sign information determination method, and an identity authentication method and apparatus. The vital sign information determination method includes: acquiring first biological feature data collected when an object presses on a biological feature sensor, the first biological feature data being used to reflect a body texture feature of the object; parsing a plurality of pieces of first biological feature data of the object to acquire second biological feature data, the second biological feature data being used to reflect a vital sign of a body of the object; and determining vital sign information of the body of the object according to the second biological feature data. ## Claims ### Claim 1 A vital sign information determination method, comprising: acquiring first biological feature data collected when an object presses on a biological feature sensor, the first biological feature data being used to reflect a body texture feature of the object; parsing a plurality of pieces of first biological feature data of the object to acquire second biological feature data, the second biological feature data being used to reflect a vital sign of a body of the object; and determining vital sign information of the body of the object according to the second biological feature data. ### Claim 2 (depends on 1) The method according to claim 1, wherein the acquiring first biological feature data collected when an object presses on a biological feature sensor comprises: acquiring the first biological feature data collected according to a predetermined collection rule when the object presses on the biological feature sensor, the predetermined collection rule being determined according to an arrangement manner of sensing arrays on the biological feature sensor. ### Claim 3 (depends on 1) The method according to claim 1, wherein the parsing a plurality of pieces of first biological feature data of the object to acquire second biological feature data comprises: parsing the plurality of pieces of first biological feature data to remove texture information therefrom and acquire the second biological feature data. ### Claim 4 (depends on 3) The method according to claim 3, further comprising: grouping the plurality of pieces of first biological feature data according to a predetermined collection rule to obtain several groups of first biological feature data; and correspondingly, the parsing the plurality of pieces of first biological feature data to remove texture information therefrom and acquire the second biological feature data comprises: averaging a plurality of pieces of first biological feature data in different groups to remove the texture information therefrom and acquire a plurality of second biological feature data, wherein one group of first biological feature data corresponds to one second biological feature data. ### Claim 5 (depends on 4) The method according to claim 4, wherein the first biological feature data is one frame of the first biological feature data collected by performing collection for the sensing arrays on the biological feature sensor; the grouping the plurality of pieces of first biological feature data according to the predetermined collection rule comprises: using a plurality of pieces of first biological feature data obtained by performing a row scanning or a column scanning for the sensing arrays as a group of first biological feature data; or when first biological feature data is multiple frames of the first biological feature data collected by performing scanning for the sensing arrays on the biological feature sensor, the grouping the plurality of pieces of first biological feature data comprises: using one frame of first biological feature data as a group of first biological feature data. ### Claim 6 (depends on 5) The method according to claim 5, wherein the determining vital sign information of the body of the object according to the second biological feature data comprises: performing waveform peak statistical collection or spectrum analysis for a plurality of pieces of second biological feature data to determine the vital sign information of the body of the object. ### Claim 7 (depends on 6) The method according to claim 6, wherein the performing waveform peak statistical collection or spectrum analysis for a plurality of pieces of second biological feature data to determine the vital sign information of the body of the object comprises: parsing the several groups of first biological feature data obtained by grouping one frame of the first biological feature data respectively to acquire the plurality of pieces of second biological feature data, and performing the waveform peak statistical collection or the spectrum analysis for the plurality of pieces of second biological feature data to determine the vital sign information of the body of the object; or parsing the several groups of first biological feature data obtained by grouping multiple frames of the first biological feature data respectively to acquire the plurality of pieces of second biological feature data, and performing the waveform peak statistical collection or the spectrum analysis for the plurality of pieces of second biological feature data to determine the vital sign information of the body of the object. ### Claim 8 (depends on 1) The method according to claim 1, wherein the determining vital sign information of the body of the object according to the second biological feature data comprises: performing filtering for the second biological feature data, and determine the vital sign information of the body of the object according to the second biological feature data upon the filtering. ### Claim 9 (depends on 8) The method according to claim 8, wherein the object is a finger or a palm, the first biological feature data is correspondingly fingerprint feature data or palmprint feature data, and the vital sign information is heart rate information. ### Claim 10 (depends on 9) The method according to claim 9, wherein the biological feature sensor comprises a light source, the light source shares an OLED light source in an OLED display screen of an electronic terminal where the biological feature sensor is configured. ### Claim 11 An identity authentication method, comprising: acquiring first biological feature data collected when an object presses on a biological feature sensor, and performing identity authentication for the object according to the first biological feature data, the first biological feature data being used to reflect a body texture feature of the object; parsing a plurality of pieces of first biological feature data of the object to acquire second biological feature data, determining vital sign information of the body of the object according to the second biological feature data, and performing aliveness identification for the object according to the vital sign information, the second biological feature data being used to reflect a vital sign of a body of the object; and judging whether the identity authentication is successful according to a result of the identity authentication and a result of the aliveness identification. ### Claim 12 (depends on 11) The method according to claim 11, wherein the performing aliveness identification for the object according to the vital sign information comprises: comparing the vital sign information with reference vital sign information to perform aliveness identification for the object. ### Claim 13 (depends on 11) The method according to claim 11, wherein the parsing a plurality of pieces of first biological feature data of the object to acquire second biological feature data comprises: parsing the plurality of pieces of first biological feature data to remove texture information therefrom and acquire the second biological feature data. ### Claim 14 (depends on 13) The method according to claim 13, further comprising: grouping the plurality of pieces of first biological feature data according to a predetermined collection rule to obtain several groups of first biological feature data; and correspondingly, the parsing the plurality of pieces of first biological feature data to remove texture information therefrom and acquire the second biological feature data comprises: averaging a plurality of pieces of first biological feature data in different groups to remove the texture information therefrom and acquire a plurality of second biological feature data, wherein one group of the first biological feature data corresponds to one second biological feature data. ### Claim 15 (depends on 14) The method according to claim 14, wherein the first biological feature data is one frame of the first biological feature data collected from the sensing arrays on the biological feature sensor; the grouping the plurality of pieces of first biological feature data according to the predetermined collection rule comprises: using a plurality of pieces of first biological feature data obtained by performing a row scanning or a column scanning for the sensing arrays as a group of first biological feature data; or the first biological feature data is multiple frames of the first biological feature data collected by performing scanning for the sensing arrays on the biological feature sensor, the grouping the plurality of pieces of first biological feature data comprises: using one frame of the biological feature data as a group of first biological feature data. ### Claim 16 (depends on 15) The method according to claim 15, wherein the determining vital sign information of the body of the object according to the second biological feature data comprises: performing waveform peak statistical collection or spectrum analysis for a plurality of pieces of second biological feature data to determine the vital sign information of the body of the object. ### Claim 17 A biological feature sensor, comprising: a light source, a sensing array, and a biological feature chip; wherein light emitted by the light source is reflected by an object and received by the sensing array to generate first biological feature data; the biological feature chip is configured to acquire the first biological feature data collected when the object presses on the biological feature sensor; the first biological feature data is parsed to determine vital signal information of a body of the object; wherein the first biological feature data is used to reflect a body texture feature of the object, and the second biological feature data is used to reflect a vital sign of the body of the object. ### Claim 18 (depends on 17) The biological feature sensor according to claim 17, wherein the light source shares an OLED light source of an OLED display screen of an electronic terminal where the biological feature sensor is configured. ### Claim 19 (depends on 17) The biological feature sensor according to claim 17, wherein the sensing array is arranged below the OLED display screen.