Unlock instant, AI-driven research and patent intelligence for your innovation.

Equipment, information processing method thereof and computer storage medium

An information processing method and equipment technology, applied in computing, computing models, machine learning, etc., can solve the problems of time-consuming and labor-intensive data, failure to meet the needs of intelligence, and low degree of system intelligence

Active Publication Date: 2019-07-09
CHINA MOBILE COMM LTD RES INST +1
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the current wearable devices, there are the following problems. First, the behavior recognition model has been embedded when the device is purchased. This situation makes the model not have personalized features and cannot be applied to all devices. Second, the behavior recognition model is not embedded when the device is purchased. , in this case, the processing method is to manually re-mark the data collected by the new sensing device, and the data re-marking process is time-consuming and labor-intensive, and due to the need for manual intervention, it leads to the intelligentization of the entire system The degree is very low and cannot meet the needs of intelligentization in the era of the Internet of Things. At the same time, this method is especially not suitable for wearable devices that have a short service life and may be replaced at any time. At present, there is no recognized personalized user data. Wearable devices with self-learning ability

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Equipment, information processing method thereof and computer storage medium
  • Equipment, information processing method thereof and computer storage medium
  • Equipment, information processing method thereof and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] An embodiment of the present invention provides an information processing method, which is applied to a first device. figure 1 It is a schematic flowchart of an information processing method according to an embodiment of the present invention; figure 1 As shown, the method includes:

[0055] Step 101: Obtain first data collected within a period of time.

[0056] Step 102: Obtain a classification result of the second data of the second device; wherein, the second data is obtained by the second device within the time range.

[0057] Step 103: Generate a first sample set based on the classification result and the first data.

[0058] Step 104: Analyze the first sample set based on a self-paced learning mechanism, obtain samples in the first sample set whose classification accuracy meets the preset condition, and generate a second sample set based on the samples whose classification accuracy meets the preset condition .

[0059] Step 105: Perform training based on the s...

Embodiment 2

[0086] The embodiment of the invention also provides a device. image 3 It is a schematic diagram of the composition structure of the equipment of the embodiment of the present invention; as image 3 As shown, the device includes: a first acquisition unit 31, a second acquisition unit 32, a sample generation unit 33 and a model training unit 34; wherein,

[0087] The first acquiring unit 31 is configured to acquire first data collected within a period of time;

[0088] The second obtaining unit 32 is configured to obtain a classification result of the second data of the second device;

[0089] The sample generating unit 33 is configured to generate a first sample set based on the classification result obtained by the second obtaining unit 32 and the first data obtained by the first obtaining unit 31; The first sample set, obtaining samples whose classification accuracy satisfies a preset condition in the first sample set, and generating a second sample set based on the sampl...

Embodiment 3

[0105] The embodiment of the invention also provides a device. Image 6 It is a schematic diagram of the hardware composition structure of the device in the embodiment of the present invention, such as Image 6 As shown, the device includes a memory 42, a processor 41, and a computer program stored on the memory 42 and operable on the processor 41. When the processor 41 executes the program, it realizes: obtaining the first data collected within a period of time data; obtaining a classification result of the second data of the second device; wherein, the second data is obtained by the second device within the time range; generating a first sample based on the classification result and the first data This episode: analyzing the first sample set based on a self-paced learning mechanism, obtaining samples whose classification accuracy meets preset conditions in the first sample set, and generating a second sample set based on samples whose classification accuracy meets preset con...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses equipment, an information processing method thereof and a computer storage medium. The method comprises the steps of obtaining first data collected within a period of time; obtaining a classification result of second data of a second device; wherein the second data is obtained by the second device within the period of time; generating a first sample set based on the classification result and the first data; analyzing the first sample set based on a self-step learning mechanism, obtaining samples with the classification accuracy meeting a preset condition in the first sample set, and generating a second sample set based on the samples with the classification accuracy meeting the preset condition; and performing training based on the second sample set to obtain a first model of the first device.

Description

technical field [0001] The invention relates to the field of machine intelligence, in particular to a device, an information processing method thereof, and a computer storage medium. Background technique [0002] The existing self-learning methods for IoT devices are all based on the already marked training data, using the supervised learning method in machine learning to classify the test data by learning the training data. This method only Applicable when the data is already labeled. [0003] For the current wearable devices, there are the following problems. First, the behavior recognition model has been embedded when the device is purchased. This situation makes the model not have personalized features and cannot be applied to all devices. Second, the behavior recognition model is not embedded when the device is purchased. In this case, the way to deal with it is to manually remark the data collected by the new sensing device, and the process of data remarking is time-c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 鲍媛媛
Owner CHINA MOBILE COMM LTD RES INST