公开(公告)号：US20240212838A1

公开(公告)日：2024-06-27

申请号：US18557768

申请日：2021-04-29

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jishang Wei ,  Rafael Antonio Ballagas ,  Erika H. Siegel

IPC: G16H40/63 ,  A61B5/00 ,  A61B5/16 ,  G06F1/16 ,  G06N5/04

CPC classification number: G16H40/63 ,  A61B5/165 ,  A61B5/6803 ,  G06F1/163 ,  G06N5/04

Abstract: An example method includes generating. with sensors of a wearable device. a plurality of physiological measures of a user of the wearable device while the user is performing a task. The method includes processing. with an inference engine of the wearable device. the plurality of physiological measures. The method includes generating. with the inference engine. a task difficulty class prediction and a residual estimation based on the processed physiological measures. The method includes generating, with the inference engine. a predicted value of a current mental state characteristic of the user based on the task difficulty class prediction and the residual estimation.

公开(公告)号：US20180004803A1

公开(公告)日：2018-01-04

申请号：US15545895

申请日：2015-02-20

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Ming C. Hao ,  Michael Hund ,  Wei-Nchih Lee ,  Nelson L. Chang ,  Daniel Keim ,  Kevin Smathers ,  Jishang Wei

IPC: G06F17/30 ,  G06F19/00 ,  G06Q30/02

CPC classification number: G06F16/2428 ,  G06F16/2425 ,  G06F16/24578 ,  G06F16/248 ,  G06F19/326 ,  G06Q10/04 ,  G06Q10/0633 ,  G06Q30/0201

Abstract: Visualization of a cohort for high-dimensional categorical data is disclosed. One example is a system including a display module to identify real-time selection of a query data element in an interactive visual representation of high-dimensional categorical data elements comprising a plurality of categorical components. A matrix generator generates a binary distance matrix with columns representing categorical components, and entries in a row indicative of a degree of similarity of respective categorical components of the selected query data element to a data element represented by the row, and determines a category weighting matrix by associating a weight with entries in each column of the binary distance matrix. An evaluator evaluates a weighted similarity score for a data element represented by a row of the category weighting matrix based on entries of the row. A selector iteratively and interactively selects, based on weighted similarity scores, a cohort of categorical data elements.

公开(公告)号：US20230274186A1

公开(公告)日：2023-08-31

申请号：US18043321

申请日：2020-09-08

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jishang Wei ,  Rafael Ballagas

IPC: G06N20/00 ,  G06F3/01

CPC classification number: G06N20/00 ,  G06F3/015

Abstract: An example system includes a plurality of biometric sensors. The system also includes a first classifier engine to produce a first latent space representation of a first signal from a first biometric sensor of the plurality of biometric sensors. The system includes a second classifier engine to produce a second latent space representation of a second signal from a second biometric sensor of the plurality of biometric sensors. The system includes an attention engine to weight the first latent space representation and the second latent space representation based on correlation among latent space representations. The system includes a final classifier engine to determine a characteristic of a user based on the weighted first and second latent space representations.

公开(公告)号：US20230273682A1

公开(公告)日：2023-08-31

申请号：US18043316

申请日：2020-09-08

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jishang Wei ,  Rafael Ballagas ,  Keanu Spies

IPC: G06F3/01

CPC classification number: G06F3/015

Abstract: An example system includes a plurality of biometric sensors to generate a plurality of signals. The system includes a feature engine to generate a plurality of feature vectors from the plurality of signals. The system includes a classifier engine to generate a plurality of decision vectors based on the plurality of feature vectors. The system includes an attention engine to weight the plurality of feature vectors and the plurality of decision vectors and determine a characteristic of a user based on the weighted feature and decision vectors.

公开(公告)号：US20240233914A1

公开(公告)日：2024-07-11

申请号：US18557731

申请日：2021-04-29

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jishang Wei ,  Rafael Antonio Ballagas ,  Erika H. Siegel

IPC: G16H20/70 ,  G02B27/01 ,  G06F18/25 ,  G16H50/20

CPC classification number: G16H20/70 ,  G02B27/017 ,  G06F18/25 ,  G16H50/20

Abstract: An example method includes generating, with sensors of a wearable device, a plurality of physiological measures of a user of the wearable device. The method includes processing, with an inference engine of the wearable device, the plurality of physiological measures. The method includes generating a parametric distribution with the inference engine based on the processed physiological measures, wherein the parametric distribution includes a first parameter representing a predicted value of a current mental state characteristic of the user, and a second parameter representing an uncertainty quantification for the predicted value.

公开(公告)号：US20240169761A1

公开(公告)日：2024-05-23

申请号：US18570030

申请日：2021-06-18

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Rafael Ballagas ,  Erika Hansen Siegel ,  Jishang Wei ,  Yang Li

IPC: G06V40/16 ,  G02B27/01 ,  G06F3/01

CPC classification number: G06V40/174 ,  G02B27/017 ,  G06F3/015

Abstract: A neutral facial expression of a wearer of a head-mountable display (HMD) is detected based on signals received from one or multiple facial electromyographic (fEMG) sensors of the HMD. A baseline neutral facial expression image of the wearer is responsively automatedly captured using one or multiple cameras of the HMD. HMD camera-based detection of facial expressions of the wearer is calibrated based on the automatedly captured baseline neutral facial expression image.

公开(公告)号：US10809794B2

公开(公告)日：2020-10-20

申请号：US15511749

申请日：2014-12-19

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Chih Pin Hsiao ,  Gregory William Cook ,  Jishang Wei ,  Mithra Vankipuram ,  Nelson L Chang

IPC: G06F3/01 ,  G06F3/0481 ,  G06T19/00 ,  G06F3/0346 ,  G06F3/0488

Abstract: An example method is provided in according with one implementation of the present disclosure. The method includes identifying an intention of a user of a system in relation to a three-dimensional (3D) virtual object and selecting a 3D navigation mode from a plurality of 3D navigation modes based on the identified user intention. The plurality of 3D navigation modes includes at least a model navigation mode, a simple navigation mode, a driving navigation mode, a reaching navigation mode, and a multi-touch navigation mode. The method further includes transitioning the system to the selected 3D navigation mode.

公开(公告)号：US20240312095A1

公开(公告)日：2024-09-19

申请号：US18576628

申请日：2021-07-09

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Jishang Wei ,  Joseph Nouri ,  Kaden Strand ,  Rafael Ballagas

IPC: G06T13/40 ,  G06V10/44 ,  G06V40/16

CPC classification number: G06T13/40 ,  G06V10/44 ,  G06V40/174

Abstract: Avatar training images of facial avatars having facial expressions corresponding to specified blendshape weights are rendered. A two-stage machine learning model is trained based on the rendered avatar training images and the specified blendshape weights. The machine learning model has a first stage extracting image features from the rendered avatar training images and a second stage predicting blendshape weights from the extracted image features. The trained machine learning model is applied to predict the blendshape weights for a facial expression of a wearer of a head-mountable display (HMD) from a set of images captured by the HMD of a face of the wearer when exhibiting the facial expression.

公开(公告)号：US20230402191A1

公开(公告)日：2023-12-14

申请号：US18249109

申请日：2020-10-20

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Rafael Ballagas ,  Erika Siegel ,  Hiroshi Horii ,  Alexandre SANTOS DA SILVA, JR. ,  Jishang Wei ,  Jose Dirceu Grundler RAMOS ,  Rafael Dal Zotto ,  Gabriel Lando ,  Srikanth Kuthuru

IPC: G16H50/70 ,  G06F16/9038

CPC classification number: G16H50/70 ,  G06F16/9038

Abstract: Examples are described herein for determining aggregate psychological states of multiple individuals. In various examples, sensor data indicative of affects of multiple individuals may be analyzed. Based on the analyzing, the multiple individuals may be partitioned into multiple distinct clusters of individuals. An aggregate psychological state of the individuals of a given cluster of the multiple distinct clusters of individuals may be determined. Data indicative of the aggregate psychological state may be transmitted to cause a computing device to render output that conveys the aggregate psychological state of the individuals of the cluster.

公开(公告)号：US20210342496A1

公开(公告)日：2021-11-04

申请号：US17280930

申请日：2018-11-26

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Keanu Phillip Spies ,  Jishang Wei ,  Refael Antonio Ballagas ,  Alxander Thayer

IPC: G06F30/12 ,  G06N3/04 ,  G06N3/08

Abstract: Examples for geometry-aware interactive design are described herein. In some examples, a computing device may extract geometric information from an input image of an object. The computing device may generate an output image by a generator network based on the extracted geometric information, a latent space vector of the input image and a sketch input.