Shenzhen Institutes of Advanced Technology

Guobao Wu

Shuqiang Wang

Senrong You

Fen Miao

Yiqian Lu

Chitang Zhang

An infrared image sequence-based sleep quality evaluation system and method. The method comprises: obtaining a plurality of respiratory infrared image sequences to be evaluated, one respiratory infrared image sequence comprising a plurality of respiratory infrared image frames to be evaluated; performing sleep quality evaluation on each respiratory infrared image sequence in the plurality of respiratory infrared image sequences by means of a classifier to obtain a sleep quality evaluation result corresponding to each respiratory infrared image sequence; and counting the number of different sleep quality evaluation results according to the sleep quality evaluation results respectively corresponding to the plurality of respiratory infrared image sequences, and determining the sleep quality evaluation result with the largest number as a sleep quality evaluation result of a user. Contactless sleep monitoring can be carried out on a user, monitoring costs are reduced at the same time, and evaluation accuracy of sleep quality is improved.

Infrared image sequence-based sleep quality evaluation system and method comprising performing evaluation by a classifier and counting the sleep quality evaluation results to determine the largest number to judge good or poor sleep quality

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Guangdong, China

Guobao Wu