TRAINING SYSTEM AND TRAINING METHOD FOR HUMAN-PRESENCE DETECTION MODEL

A training system and a training method for a human-presence detection model are provided. The training method includes: obtaining, by a distance sensor and a temperature sensor, a plurality of training samples; dividing the plurality of training samples into a first data cluster and a second data c...

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Bibliographic Details
Main Authors LEE, WUI-PIN, Yee, George Chun-Wei, Ng, Heng-Khai
Format Patent
LanguageEnglish
Published 01.08.2024
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:A training system and a training method for a human-presence detection model are provided. The training method includes: obtaining, by a distance sensor and a temperature sensor, a plurality of training samples; dividing the plurality of training samples into a first data cluster and a second data cluster according to whether or not an input interface of the host device is in a used state; marking the first data cluster as a human-presence cluster; selecting a sub-cluster from the second data cluster; marking the sub-cluster as a human-absence cluster; and performing machine learning for the human-presence cluster and the human-absence cluster to generate the human-presence detection model. The first data cluster corresponds to the used state. A center point of the sub-cluster corresponds to a maximum distance value and a minimum temperature value.
Bibliography:Application Number: US202318322554