公开(公告)号：US20220269824A1

公开(公告)日：2022-08-25

申请号：US17249132

申请日：2021-02-22

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： TIAN HAO ,  Umar Asif ,  Stefan Harrer ,  Jianbin Tang ,  Stefan von Cavallar ,  Deval Samirbhai Mehta ,  JEFFREY L. ROGERS ,  Erhan Bilal ,  Stefan Renard Maetschke

IPC: G06F21/62 ,  G06K9/00 ,  G06K9/62

Abstract: A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include collecting data corresponding to a user with one or more sensors and identifying one or more joints of the user based on the data. Embodiments may additionally include generating one or more 3D representations of the one or more joints of the user and anonymizing the one or more 3D representations by applying thereto a joint-centering and a random shuffling. Embodiments may further include classifying one or more actions of the user based on analysing the one or more 3D representations, and exporting at least one of the data and the one or more actions.

公开(公告)号：US20220363264A1

公开(公告)日：2022-11-17

申请号：US17302869

申请日：2021-05-14

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Erhan Bilal ,  Bo Wen ,  Nicholas Andrew Barra ,  JEFFREY L. ROGERS ,  Bing Dang ,  TIAN HAO

IPC: B60W40/08 ,  B60W50/14 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20

Abstract: A method, a structure, and a computer system for assessing a cognitive state of a driver of a vehicle. The exemplary embodiments may include collecting data from one or more sensors positioned around the vehicle and calculating a distraction value, an engagement value, and a workload value corresponding to the driver of the vehicle based on the data. The exemplary embodiments may further include determining whether the driver exhibits a low cognitive state based on the distraction value and the engagement value, and, based on determining that the driver exhibits the low cognitive state, assuming control of the vehicle.

公开(公告)号：US20230334180A1

公开(公告)日：2023-10-19

申请号：US18343776

申请日：2023-06-29

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： TIAN HAO ,  Umar Asif ,  Stefan Harrer ,  Jianbin Tang ,  Stefan von Cavallar ,  Deval Samirbhai Mehta ,  JEFFREY L. ROGERS ,  Erhan Bilal ,  Stefan Renard Maetschke

IPC: G06F21/62 ,  G06V40/20

CPC classification number: G06F21/6263 ,  G06V40/20 ,  G06F18/24

Abstract: A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include identifying one or more joints of a user based on collected data and generating one or more 3D representations of the one or more joints of the user. Embodiments may further include anonymizing the one or more 3D representations, classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score, and exporting at least one of the one or more actions and the action score.

公开(公告)号：US20230170095A1

公开(公告)日：2023-06-01

申请号：US17456902

申请日：2021-11-30

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： TIAN HAO ,  JEFFREY L. ROGERS ,  Pritish Ranjan Parida

IPC: G16H50/30 ,  A61B5/024 ,  A61B5/11

CPC classification number: G16H50/30 ,  A61B5/024 ,  A61B5/112

Abstract: A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting heart rate data and acceleration data corresponding to a user while the user is not performing one or more validated fitness assessment tests and extracting one or more features from the heart rate data and the acceleration data. The exemplary in embodiments may further include calculating one or more validated fitness assessment scores of the user based on applying a model to the one or more features and projecting a mobility of the user based on the one or more validated fitness assessment scores.

公开(公告)号：US20220031199A1

公开(公告)日：2022-02-03

申请号：US16941907

申请日：2020-07-29

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： TIAN HAO ,  JEFFREY L. ROGERS

IPC: A61B5/11 ,  A61B5/00 ,  G16H20/30 ,  G16H40/67

Abstract: A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting mobility data corresponding to a user and extracting one or more low level features from the mobility data. The exemplary embodiments may further include extracting one or more clinical level features from the low level features and assessing one or more health conditions of the user based on applying one or more models to the one or more clinical level features.