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Method and system for annotated capture of data and group modeling of activities

A technology of data and data sets, applied in the direction of reasoning methods, computing models, character and pattern recognition, etc.

Active Publication Date: 2019-07-05
MOVEA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] This is the big limitation that will lead to more widespread use of these modeling techniques with added benefit to users

Method used

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  • Method and system for annotated capture of data and group modeling of activities
  • Method and system for annotated capture of data and group modeling of activities
  • Method and system for annotated capture of data and group modeling of activities

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Embodiment Construction

[0028] Figure 1a , 1b and 1c represent devices equipped with different types of sensors that can be used to implement the invention in its various embodiments.

[0029] Consumer electronic devices are being equipped with more and more sensors and connecting more and more sensors. A typical example of this trend is Figure 1aThe smartphone shown in , which appears to be adding new sensors with each new phone model or generation. A smartphone contains several devices to be connected (Bluetooth, wifi, 3G / 4G, etc.) and is equipped with several microelectromechanical sensors (or MEMS), such as accelerometers, gyroscopes, magnetometers or pressure sensors. These motion sensors enable smartphones to be used, for example, for indoor pedestrian navigation where GPS signals are unavailable. If GPS signals are available, it is possible to accurately calculate the distance traveled by the user between two locations and compare this distance to the distance calculated from the number of...

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Abstract

The present invention discloses methods, devices and systems for building and / or using models for estimating a user's behavior or a situation of interest to the user. The user has a device configured to capture at least a first data set of sensor data related to a behavior or situation. A set of processing capabilities is configured to capture a first data set including sensor data and a second data set including annotation data related to behavior or situation, and further configure at least the model. The device is further configured to adjust a parameter of the at least one model to be characteristic of a user or a group of users. The present invention allows an improvement over the prior art by allowing the collection of large amounts of data that will optimize the fit of a model to a behavior or situation.

Description

technical field [0001] The present invention improves the function of electronic equipment to provide more value-added services to its users. More specifically, the invention applies to the use of different types of equipment equipped with various types of sensors. Sensors are used in a user-specific context to capture data to record and predict any activity, behavior or situation of interest to the user. The sensor data, combined with other data about the activity, behavior or situation, is sent to and stored in a database for developing a predictive model for the user-specific context. Background technique [0002] To achieve these improvements, the present invention uses two technologies: embedded sensors and data analysis and modeling algorithms. [0003] First, devices are increasingly being equipped with embedded sensors. Some examples of these devices are consumer electronic devices like smartphones or tablet devices, home automation and security systems, health mo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N99/00G06N20/00
CPCG06N20/00G06V40/20G06F2218/12G06F18/251G06N5/04
Inventor Y·卡里图H·M·R·科腾拉德P·雅隆
Owner MOVEA
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