# US 2018/0020927 A1 · Real time authentication based on blood flow parameters > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0020927 A1 - Document ID: US20180020927A1 - Status: Published application - Kind: A1 - Application number: 15/654,263 - Filed: 2017-07-19 - Published: 2018-01-25 - Earliest claimed: 2016-07-20 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Jawahar Jain; Vatche A. Attarian; Sajid Sadi; Pranav Mistry - Web page: https://patentgrep.com/patent/US20180020927A1 ## CPC - A61B 5/021: Measuring pressure in heart or blood vessels - A61B 5/0064: {Body surface scanning} - A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)} - A61B 5/0261: {using optical means, e.g. infrared light} - 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 5/1455: using optical sensors, e.g. spectral photometrical oximeters - A61B 5/14551: {for measuring blood gases} - A61B 5/6801: {specially adapted to be attached to or worn on the body surface} - A61B 5/681: {Wristwatch-type devices} - A61B 5/6897: {Computer input devices, e.g. mice or keyboards} - A61B 5/6898: {Portable consumer electronic devices, e.g. music players, telephones, tablet computers} - A61B 5/7246: {using correlation, e.g. template matching or determination of similarity} - G06F 21/32: using biometric data, e.g. fingerprints, iris scans or voiceprints - G06F 21/445: {by mutual authentication, e.g. between devices or programs} - G06V 40/10: Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands - G06V 40/70: Multimodal biometrics, e.g. combining information from different biometric modalities - G07C 9/37: using biometric data, e.g. fingerprints, iris scans or voice recognition - G16H 40/63: for local operation - H04L 9/32: including means for verifying the identity or authority of a user of the system {or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials} - H04L 9/3231: {Biological data, e.g. fingerprint, voice or retina (network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861)} - H04L 9/3273: {for mutual authentication (network architectures or network communication protocols for achieving mutual authentication in a packet data network H04L63/0869)} - H04L 63/0861: {using biometrical features, e.g. fingerprint, retina-scan (cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231)} - H04L 63/0869: {for achieving mutual authentication (cryptographic mechanisms or cryptographic arrangements for mutual authentication H04L9/3273)} - A61B 5/1172: using fingerprinting - G06V 40/15: {Biometric patterns based on physiological signals, e.g. heartbeat, blood flow} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Blood flow of a user can be measured using a sensor. Sensor data based on the measuring of the blood flow can be generated. Based on the sensor data, at least a first physiological biomarker of the blood flow measured by the sensor and at least a first morphological characteristic of the blood flow measured by the sensor can be determined. The user can be authenticated based, at least in part, on the first physiological biomarker and the first morphological characteristic. ## Claims ### Claim 1 A method of authenticating a user comprising: measuring, using a first sensor, blood flow of the user and generating first sensor data based on the measuring of the blood flow; determining, based on the first sensor data, at least a first physiological biomarker of the blood flow measured by the first sensor and at least a first morphological characteristic of the blood flow measured by the first sensor; and authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic. ### Claim 2 (depends on 1) The method of claim 1, further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; wherein authenticating the user is based, at least in part, on at least the first statistical characteristic. ### Claim 3 (depends on 1) The method of claim 1, further comprising: receiving second sensor data generated by a second sensor; determining, based on the second sensor data, at least a second physiological biomarker of a blood flow detected by the second sensor and at least a second morphological characteristic of the blood flow detected by the second sensor; comparing the at least the first physiological biomarker to at least the second physiological biomarker and comparing at least the first morphological characteristic to at least the second morphological characteristic; determining whether at least the first physiological biomarker matches at least the second physiological biomarker and determining whether at least the first morphological characteristic matches at least the second morphological characteristic; and wherein the authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic comprises, responsive to at least the first physiological biomarker matching at least the second physiological biomarker and at least the first morphological characteristic matching at least the second morphological characteristic, outputting an indicator indicating the user is authenticated. ### Claim 4 (depends on 3) The method of claim 3, further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; determining, based on the second sensor data, at least a second statistical characteristic of the blood flow measured by the first sensor; and determining whether at least the first statistical characteristic matches at least the second statistical characteristic; wherein outputting the indicator indicating the user is authenticated further is responsive to at least the first statistical characteristic matching at least the second statistical characteristic. ### Claim 5 (depends on 3) The method of claim 3, wherein the second sensor data is received simultaneously with the first sensor data being measured. ### Claim 6 (depends on 1) The method of claim 1, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a shape of a blood flow signal representing the blood flow. ### Claim 7 (depends on 1) The method of claim 1, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a cardiac output of the user in a systolic phase of the blood flow or a diastolic phase of the blood flow. ### Claim 8 (depends on 1) The method of claim 1, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a difference between a systolic peak of the blood flow and a diastolic peak of the blood flow, a difference between the systolic peak of the blood flow and a dicrotic notch of the blood flow, or a difference between the diastolic peak of the blood flow and the dicrotic notch of the blood flow. ### Claim 9 An user device, comprising: a memory configured to store instructions; a processor coupled to the memory, wherein the processor, in response to executing the instructions, is configured to initiate operations for authenticating a user comprising: measuring, using a first sensor, blood flow of the user and generating first sensor data based on the measuring of the blood flow; determining, based on the first sensor data, at least a first physiological biomarker of the blood flow measured by the first sensor and at least a first morphological characteristic of the blood flow measured by the first sensor; and authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic. ### Claim 10 (depends on 9) The user device of claim 9, the operations further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; wherein authenticating the user is based, at least in part, on at least the first statistical characteristic. ### Claim 11 (depends on 9) The user device of claim 9, the operations further comprising: receiving second sensor data generated by a second sensor; determining, based on the second sensor data, at least a second physiological biomarker of a blood flow detected by the second sensor and at least a second morphological characteristic of the blood flow detected by the second sensor; comparing the at least the first physiological biomarker to at least the second physiological biomarker and comparing at least the first morphological characteristic to at least the second morphological characteristic; determining whether at least the first physiological biomarker matches at least the second physiological biomarker and determining whether at least the first morphological characteristic matches at least the second morphological characteristic; and wherein the authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic comprises, responsive to at least the first physiological biomarker matching at least the second physiological biomarker and at least the first morphological characteristic matching at least the second morphological characteristic, outputting an indicator indicating the user is authenticated. ### Claim 12 (depends on 11) The user device of claim 11, the operations further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; determining, based on the second sensor data, at least a second statistical characteristic of the blood flow measured by the first sensor; and determining whether at least the first statistical characteristic matches at least the second statistical characteristic; wherein outputting the indicator indicating the user is authenticated further is responsive to at least the first statistical characteristic matching at least the second statistical characteristic. ### Claim 13 (depends on 11) The user device of claim 11, wherein the second sensor data is received simultaneously with the first sensor data being measured. ### Claim 14 (depends on 9) The user device of claim 9, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a shape of a blood flow signal representing the blood flow. ### Claim 15 (depends on 9) The user device of claim 9, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a cardiac output of the user in a systolic phase of the blood flow or a diastolic phase of the blood flow. ### Claim 16 (depends on 9) The user device of claim 9, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a difference between a systolic peak of the blood flow and a diastolic peak of the blood flow, a difference between the systolic peak of the blood flow and a dicrotic notch of the blood flow, or a difference between the diastolic peak of the blood flow and the dicrotic notch of the blood flow. ### Claim 17 A computer program product comprising a computer readable storage medium having program code stored thereon for authenticating a user, the program code executable by a processor to perform operations comprising: measuring, using a first sensor, blood flow of the user and generating first sensor data based on the measuring of the blood flow; determining, based on the first sensor data, at least a first physiological biomarker of the blood flow measured by the first sensor and at least a first morphological characteristic of the blood flow measured by the first sensor; and authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic. ### Claim 18 (depends on 17) The computer program product of claim 17, wherein the program code is executable by the processor to perform operations further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; wherein authenticating the user is based, at least in part, on at least the first statistical characteristic. ### Claim 19 (depends on 17) The computer program product of claim 17, wherein the program code is executable by the processor to perform operations further comprising: receiving second sensor data generated by a second sensor; determining, based on the second sensor data, at least a second physiological biomarker of a blood flow detected by the second sensor and at least a second morphological characteristic of the blood flow detected by the second sensor; comparing the at least the first physiological biomarker to at least the second physiological biomarker and comparing at least the first morphological characteristic to at least the second morphological characteristic; determining whether at least the first physiological biomarker matches at least the second physiological biomarker and determining whether at least the first morphological characteristic matches at least the second morphological characteristic; and wherein the authenticating the user based, at least in part, on the first physiological biomarker and the first morphological characteristic comprises, responsive to at least the first physiological biomarker matching at least the second physiological biomarker and at least the first morphological characteristic matching at least the second morphological characteristic, outputting an indicator indicating the user is authenticated. ### Claim 20 (depends on 19) The computer program product of claim 19, wherein the program code is executable by the processor to perform operations further comprising: determining, based on the first sensor data, at least a first statistical characteristic of the blood flow measured by the first sensor; determining, based on the second sensor data, at least a second statistical characteristic of the blood flow measured by the first sensor; and determining whether at least the first statistical characteristic matches at least the second statistical characteristic; wherein outputting the indicator indicating the user is authenticated further is responsive to at least the first statistical characteristic matching at least the second statistical characteristic. ### Claim 21 (depends on 19) The computer program product of claim 19, wherein the second sensor data is received simultaneously with the first sensor data being measured. ### Claim 22 (depends on 17) The computer program product of claim 17, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a shape of a blood flow signal representing the blood flow. ### Claim 23 (depends on 17) The computer program product of claim 17, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a cardiac output of the user in a systolic phase of the blood flow or a diastolic phase of the blood flow. ### Claim 24 (depends on 17) The computer program product of claim 17, wherein the first morphological characteristic of the blood flow measured by the first sensor indicates a difference between a systolic peak of the blood flow and a diastolic peak of the blood flow, a difference between the systolic peak of the blood flow and a dicrotic notch of the blood flow, or a difference between the diastolic peak of the blood flow and the dicrotic notch of the blood flow.