Annotation method, annotation device, storage medium, and identification system

    公开(公告)号:US12048528B2

    公开(公告)日:2024-07-30

    申请号:US16969971

    申请日:2019-03-13

    申请人: OMRON Corporation

    发明人: Hiroshi Nakajima

    IPC分类号: G06N3/08 A61B5/11 A61B5/16

    摘要: An annotation method, an annotation device, a storage medium, and an identification system are provided. In an annotation method according to an aspect of the present invention, a computer executes: a step of acquiring sensor data in which the outputs of a sensor are arrayed in time series; and a step for providing a plurality of labels to the acquired sensor data. The plurality of labels include a first label and a second label, wherein the first label is provided to a first time segment, and the second label is provided to a second time segment that comes after the first time segment in the time series. In addition, the first time segment and the second time segment are set to have an overlapping segment in which the first time segment and the second time segment partially overlap each other in the time series.

    EEG microstates analysis
    33.
    发明授权

    公开(公告)号:US12042293B2

    公开(公告)日:2024-07-23

    申请号:US16650875

    申请日:2018-09-21

    IPC分类号: A61B5/369 A61B5/00 A61B5/16

    摘要: Using microstate data to evaluate Alzheimer's disease including dementia and/or mild cognitive impairment and/or depression and optionally provide treatment based on the diagnosis and/or modify treatment and/or diagnosis based on response to treatment, optionally as measured using microstate data. In one example, the method includes analyzing EEG data to generate one or more EEG parameter; and generating a risk for one or both of depression and MCI (mild cognitive impairment) based on said one or more EEG parameters. Optionally, the disease comprises MCI. Optionally, the disease comprises depression. Optionally, the one or more EEG parameter comprises a microstate-derived parameter. Optionally, the one or more EEG parameter comprises a microstate duration derived parameter.

    METHOD AND SYSTEM FOR CONVERSATIONAL COGNITIVE STIMULATION

    公开(公告)号:US20240233911A9

    公开(公告)日:2024-07-11

    申请号:US17973376

    申请日:2022-10-25

    申请人: Cognifit, Inc

    摘要: A method and system are provided for conversational cognitive stimulation performed on an electronic device. The system conducts a lifelike motivational interview, using human speech synthesis, to assess a user's cognitive health, emotional state, topics of interest, sentiment, and overall well-being. This may be accomplished by analyzing vocal and verbal components of the user's responses in the motivational interview through linguistic and paralinguistic analysis. The system may further perform a method to train the user's cognitive abilities according to the results of the motivational interview. The training is customized to each user through customized tasks, questions, and a duration of the training. The system can track changes to the user's cognitive health, abilities, and other areas and make adjustments to the training to promote cognitive stimulation.

    INFORMATION PROCESSING DEVICE, CONTROL METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240225503A9

    公开(公告)日:2024-07-11

    申请号:US18277726

    申请日:2021-03-24

    申请人: NEC Corporation

    发明人: Azusa Furukawa

    IPC分类号: A61B5/16 A61B5/00

    CPC分类号: A61B5/165 A61B5/7264

    摘要: An information processing device 1X mainly includes an emotion acquisition means 14X, a deviation tendency identification means 16X, and an output control means 17X. The emotion acquisition means 14X acquires a set of target emotion, which is a target of emotion of an object person, and actual emotion, which is actual emotion of the object person. The deviation tendency identification means 16X identifies a deviation tendency between the target emotion and the actual emotion with respect to a mental state, based on the set of the target emotion and the actual emotion. The output control means 17X outputs information regarding the deviation tendency identified by the deviation tendency identification means 16X.