Invention Grant
- Patent Title: Facilitating client ergonomic support via machine learning
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Application No.: US16442300Application Date: 2019-06-14
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Publication No.: US11580443B2Publication Date: 2023-02-14
- Inventor: Gregory J. Boss , Zachary A. Silverstein , Michael Bender , Jeremy R. Fox
- Applicant: Kyndryl, Inc.
- Applicant Address: US NY New York
- Assignee: Kyndryl, Inc.
- Current Assignee: Kyndryl, Inc.
- Current Assignee Address: US NY New York
- Agency: The Steadman Law Firm PLLC
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G16H50/20 ; H04L67/12

Abstract:
Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client. In an embodiment, the method further includes providing at least one ergonomic refinement to the first client based upon ergonomic sensor data.
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