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Sensor and method for generating training data for machine learning classifier in sensor

A machine learning and training data technology, applied in machine learning, neural learning methods, instruments, etc., can solve different problems

Pending Publication Date: 2022-03-08
ROBERT BOSCH GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, user-specific behavior (such as exercise mode) may differ from general behavior

Method used

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  • Sensor and method for generating training data for machine learning classifier in sensor
  • Sensor and method for generating training data for machine learning classifier in sensor
  • Sensor and method for generating training data for machine learning classifier in sensor

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Embodiment Construction

[0051]In one embodiment, a "computer" may be understood as any type of logic-implemented entity, which may be hardware, software, firmware, or a combination thereof. Thus, in one embodiment, a "computer" may be a hardwired logic circuit or a programmable logic circuit, such as a programmable processor, such as a microprocessor (eg, CISC (Large Instruction Set Processor) or RISC (Reduced Instruction Set Processor) or RISC (Reduced Instruction Set Processor) set processor)). A "computer" may also be software implemented or executed by a processor, such as any type of computer program, for example using virtual machine code such as Java. Consistent with alternative embodiments, any other type of implementation of the corresponding functions described in more detail below may be understood as a "computer".

[0052] Smart sensors can recognize a user's movement patterns with the help of machine learning classifiers that are generalized to many users. However, user-specific motion...

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PUM

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Abstract

A sensor and a method for generating training data for a machine learning classifier in a sensor are disclosed, wherein the method comprises: acquiring a first sensor signal and a second sensor signal by means of the sensor; determining whether the machine learning classifier classifies the first sensor signal as a predetermined user motion pattern in response to the input of the first sensor signal; determining whether a classification model classifies the second sensor signal as a predetermined user input for controlling a device in response to an input of the second sensor signal, wherein the user input is assigned to the user motion pattern; determining a training data vector for the machine learning classifier if the second sensor signal has been classified as the predetermined user input, and if the first sensor signal is not classified as the user motion pattern, wherein the training data vector has the first sensor signal and the user motion pattern.

Description

technical field [0001] Various embodiments relate generally to a sensor and a method for generating training data for a machine learning classifier in the sensor. Background technique [0002] Sensors are used in many devices such as smartphones, various wearable devices (such as those worn on the body and / or on the head), smart headphones, and more. For example, intelligent sensors (English: Intelligent Sensors or Smart Sensors) can be used here, which pre-process the detected sensor signals. For example, the detected sensor signals can be preprocessed with the aid of a trained machine learning classifier such as a neural network. Machine learning classifiers can be trained with training data covering a wide range of users. For example, a machine-learning classifier generalized in this way can identify motion patterns. [0003] In Fall detection algorithms for real-world fallsharvested from lumbar sensors in the elderly population: A machine learning approach, 38th Annua...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06F30/27G06N3/08G06N20/00G06N3/045G06F18/214G06F18/24G06F2218/12G06F18/24133G06F18/2148G06F18/2415
Inventor S·莱迪奇A·福利斯臣S·维斯
Owner ROBERT BOSCH GMBH