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Adaptive adjustment using sensor data and distributed data

A sensor and data technology, applied in data processing applications, special data processing applications, instruments, etc., can solve the problems of processing and network load, not reflecting other user paths, and not considering the user's current activity stage, etc.

Active Publication Date: 2019-12-17
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Using a rigid tracking system to recommend actions does not take into account the current stage of activity the user is going through, and may or may not reflect the paths other users have taken to achieve similar goals
Furthermore, to the extent that other user data is available, exchanging large amounts of user data across networks to support plan / policy development and tracking can result in processing and network burdens, especially as the number of available datasets increases
Thus, challenges remain in efficiently capturing data for planning / strategy development and tracking, and in dealing with observed planning / strategy deviations

Method used

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  • Adaptive adjustment using sensor data and distributed data
  • Adaptive adjustment using sensor data and distributed data
  • Adaptive adjustment using sensor data and distributed data

Examples

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Embodiment Construction

[0040] Various embodiments of the invention are described herein with reference to the associated drawings. Alternative embodiments of the invention may be devised without departing from the scope of the invention. Various connections and positional relationships (eg, above, below, adjacent, etc.) are set forth between elements in the following description and drawings. Unless stated otherwise, such connections and / or positional relationships may be direct or indirect, and the invention is not intended to be limited in this regard. Accordingly, the coupling of entities may refer to direct or indirect coupling, and the positional relationship between entities may be a direct or indirect positional relationship. Furthermore, the various tasks and process steps described herein may be combined into a more comprehensive process that has additional steps or functionality not described in detail herein.

[0041] The following definitions and abbreviations will be used to interpret...

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PUM

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Abstract

An aspect includes querying, by a processor, a plurality of model data from a distributed data source based at least in part on one or more user characteristics. A plurality of sensor data is gatheredassociated with a condition of a user. A policy is generated including an end goal and one or more sub-goals based at least in part on the model data and the sensor data. The policy is iteratively adapted based at least in part on one or more detected changes in the sensor data collected over a period of time to adjust at least one of the one or more sub-goals. The policy and the one or more sub-goals are provided to the user.

Description

Background technique [0001] The present invention relates generally to computer technology and, more particularly, to adaptive tuning systems using sensor data and distributed data. [0002] The computer technology used to develop plans and track progress toward completing them is often structurally inflexible. Planning systems typically use data collection (often manually populated) to compare against an ideal linear progression from a baseline to a final goal. When setbacks occur to planned users or events deviate from the planned ideal trajectory, it can be challenging to get back on track to reach the end goal. [0003] Using a rigid tracking system to recommend actions does not take into account the current stage of activity a user is going through, and may or may not reflect the paths other users have taken to achieve similar goals. Furthermore, to the extent that other user data is available, exchanging large amounts of user data across networks to support plan / policy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q90/00G06N20/00
CPCG06F16/252G06N3/006G06N3/126H04L63/20G06N20/00G06F16/90335G06N5/00
Inventor 薛沛芸胡忻雨J·克德拉陈庆华张鸿洋
Owner IBM CORP