公开(公告)号：US11755709B2

公开(公告)日：2023-09-12

申请号：US17676797

申请日：2022-02-21

申请人： SHARECARE AI, INC.

发明人： Axel Sly ,  Srivatsa Akshay Sharma ,  Brett Robert Redinger ,  Devin Daniel Reich ,  Geert Trooskens ,  Meelis Lootus ,  Young Jin Lee ,  Ricardo Lopez Arredondo ,  Frederick Franklin Kautz, IV ,  Satish Srinivasan Bhat ,  Scott Michael Kirk ,  Walter Adolf De Brouwer ,  Kartik Thakore

IPC分类号： G06F21/32 ,  G06F21/45 ,  G06N20/00 ,  H04L9/32 ,  G16H10/60 ,  G06K7/14 ,  G06N5/04 ,  H04L9/08 ,  G06V40/70 ,  G06K19/06 ,  G06F18/214 ,  G06V10/74 ,  G06V10/77 ,  G06V10/80 ,  G06V10/44 ,  G06V40/16 ,  G06V10/774 ,  H04L9/40 ,  G06N3/08 ,  G06N3/04

CPC分类号： G06F21/32 ,  G06F18/214 ,  G06F21/45 ,  G06K7/1417 ,  G06K19/06037 ,  G06N5/04 ,  G06N20/00 ,  G06V10/451 ,  G06V10/761 ,  G06V10/774 ,  G06V10/7715 ,  G06V10/803 ,  G06V40/161 ,  G06V40/168 ,  G06V40/70 ,  G16H10/60 ,  H04L9/085 ,  H04L9/0841 ,  H04L9/0866 ,  H04L9/0894 ,  H04L9/3228 ,  H04L9/3231 ,  H04L9/3236 ,  H04L9/3239 ,  H04L9/3242 ,  H04L9/3247 ,  H04L9/3297 ,  G06N3/04 ,  G06N3/08 ,  H04L63/0861

摘要： The technology disclosed relates to authenticating users using a plurality of non-deterministic registration biometric inputs. During registration, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate sets of feature vectors. The non-deterministic biometric inputs can include a plurality of face images and a plurality of voice samples of a user. A characteristic identity vector for the user can be determined by averaging feature vectors. During authentication, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate a set of authentication feature vectors. The sets of feature vectors are projected onto a surface of a hyper-sphere. The system can authenticate the user when a cosine distance between the authentication feature vector and a characteristic identity vector for the user is less than a pre-determined threshold.

公开(公告)号：US11177960B2

公开(公告)日：2021-11-16

申请号：US17235889

申请日：2021-04-20

申请人： Sharecare AI, Inc.

发明人： Axel Sly ,  Srivatsa Akshay Sharma ,  Brett Robert Redinger ,  Devin Daniel Reich ,  Geert Trooskens ,  Meelis Lootus ,  Young Jin Lee ,  Ricardo Lopez Arredondo ,  Frederick Franklin Kautz, IV ,  Satish Srinivasan Bhat ,  Scott Michael Kirk ,  Walter Adolf De Brouwer ,  Kartik Thakore

IPC分类号： H04L9/32 ,  H04L9/08 ,  G06N20/00 ,  G06K7/14 ,  G06N5/04

摘要： The technology disclosed relates to authenticating users using a plurality of non-deterministic registration biometric inputs. During registration, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate sets of feature vectors. The non-deterministic biometric inputs can include a plurality of face images and a plurality of voice samples of a user. A characteristic identity vector for the user can be determined by averaging feature vectors. During authentication, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate a set of authentication feature vectors. The sets of feature vectors are projected onto a surface of a hyper-sphere. The system can authenticate the user when a cosine distance between the authentication feature vector and a characteristic identity vector for the user is less than a pre-determined threshold.

公开(公告)号：US11321447B2

公开(公告)日：2022-05-03

申请号：US17235876

申请日：2021-04-20

申请人： SHARECARE AI, INC.

发明人： Axel Sly ,  Srivatsa Akshay Sharma ,  Brett Robert Redinger ,  Devin Daniel Reich ,  Geert Trooskens ,  Meelis Lootus ,  Young Jin Lee ,  Ricardo Lopez Arredondo ,  Frederick Franklin Kautz, IV ,  Satish Srinivasan Bhat ,  Scott Michael Kirk ,  Walter Adolf De Brouwer ,  Kartik Thakore

IPC分类号： G06K9/00 ,  G06F21/45 ,  G06N20/00 ,  H04L9/32 ,  G16H10/60 ,  G06F21/32 ,  G06K9/62 ,  G06K7/14 ,  G06N5/04 ,  H04L9/08 ,  H04L29/06 ,  G06N3/08 ,  G06N3/04

摘要： The technology disclosed relates to authenticating users using a plurality of non-deterministic registration biometric inputs. During registration, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate sets of feature vectors. The non-deterministic biometric inputs can include a plurality of face images and a plurality of voice samples of a user. A characteristic identity vector for the user can be determined by averaging feature vectors. During authentication, a plurality of non-deterministic biometric inputs are given as input to a trained machine learning model to generate a set of authentication feature vectors. The sets of feature vectors are projected onto a surface of a hyper-sphere. The system can authenticate the user when a cosine distance between the authentication feature vector and a characteristic identity vector for the user is less than a pre-determined threshold.