Lite-On Singapore Pte. Ltd.

Wui-pin Lee

Heng-Khai Ng

George Chun-Wei Yee

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.

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Singapore, Singapore

Wui-pin Lee