Fatigue detection method and mobile terminal
A mobile terminal, fatigue detection technology, used in diagnostic recording/measurement, medical science, psychological devices, etc., can solve the problems of inaccurate detection, impracticality, false alarms, etc. The effect of saving processing operations
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Embodiment 1
[0034] refer to figure 1 , which shows a flow chart of Embodiment 1 of a fatigue detection method of the present invention, which is applied to a mobile terminal with a camera, and may specifically include the following steps:
[0035] Step 101. Obtain multiple frames of preview images including the face of the mobile terminal user continuously captured by the camera.
[0036] The embodiment of the present invention can be applied to a mobile terminal with a camera. The above-mentioned mobile terminals may specifically include but not limited to: smart phones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Audio layer 4, Moving Picture Experts Group Audio Layer IV) players, laptop computers, car computers, desktop computers, set-top boxes, smart TVs, wearable devices, etc.
[0037] The embodiment of the present invention can be used to detect...
Embodiment 2
[0060] refer to figure 2 , which shows a flow chart of Embodiment 2 of a fatigue detection method of the present invention, which may specifically include the following steps:
[0061] Step 201. Obtain multiple frames of preview images including the face of the mobile terminal user continuously captured by the camera.
[0062] The mobile terminal can be provided with a camera (built-in or external), and then the camera can be used to continuously collect multiple frames of preview images including the face of the user of the mobile terminal. For example, in a driving scene, the on-board computer can continuously collect multiple frames of preview images through an external camera.
[0063] Step 202 , sequentially perform gray value difference calculation on each pixel of all two adjacent frames of preview images in the multiple frames of preview images.
[0064] In the embodiment of the present invention, one purpose of detecting the transition point from the normal state t...
Embodiment 3
[0112] refer to Figure 4 , which shows a flow chart of Embodiment 3 of a fatigue detection method of the present invention, which may specifically include the following steps:
[0113] Step 401. Obtain multiple frames of preview images including the face of the mobile terminal user continuously captured by the camera.
[0114] The mobile terminal can be provided with a camera (built-in or external), and then the camera can be used to continuously collect multiple frames of preview images including the face of the user of the mobile terminal. For example, in a driving scene, the on-board computer can continuously collect multiple frames of preview images through an external camera.
[0115] Step 402 , sequentially perform gray value difference calculation on each pixel of all two adjacent frames of preview images in the multi-frame preview images.
[0116] In the embodiment of the present invention, one purpose of detecting the transition point from the normal state to the f...
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