Method and device for predicting crying causes of baby
A baby and cause technology, which is applied in the field of prediction method and device for the reason of baby crying, can solve problems such as inaccurate results, immature technology for predicting the reason of baby crying, unable to respond to baby needs in time, etc., and achieve the effect of accurate prediction
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no. 1 example
[0084] see figure 1 , a schematic flow chart of a method for predicting the cause of a baby’s cry provided in this embodiment, the method includes the following steps:
[0085] S101: Obtain the original audio data and original video data of the target infant during the crying period by synchronously recording the audio and video of the target infant, as the target audio data and target video data respectively, wherein the original video data includes the face of the target infant Close-up video data and / or action video data.
[0086] In this embodiment, any baby whose crying cause is predicted by using this embodiment is defined as a target baby. In order to realize the prediction of the crying reason of the target baby, the audio and video of the target baby can be recorded synchronously. When recording the audio data of the target baby, recording equipment such as a microphone can be utilized to record the sound of the target baby, so that the audio data of the target baby...
no. 2 example
[0121] This embodiment will introduce the specific process of how to use the pre-built crying reason prediction model to "predict the crying reason of the target baby according to the target audio data and target video data".
[0122] Among them, the crying cause prediction model is mainly composed of an input layer, an encoding layer, a fusion layer, a decoding layer, and an output layer, such as figure 2 shown. Wherein, the input layer input is the original audio data and original video data of the target baby, and the input layer outputs the target audio data and target video data of the target baby; The video data is encoded; the function of the fusion layer is to fuse the coding features output by the coding layer; the function of the decoding layer is to decode the fusion features output by the fusion layer; the function of the output layer is to predict the target baby according to the decoding features output by the decoding layer reason for crying.
[0123] Next, t...
no. 3 example
[0176] This embodiment will introduce the construction process of the crying cause prediction model mentioned in the above embodiments. Specifically, the following steps D1-D3 may be included:
[0177] Step D1: A large amount of training sample data is collected.
[0178] In this embodiment, in order to construct a crying cause prediction model, it is necessary to pre-collect sample audio data and sample video data of the same sample baby in the same crying period, thereby collecting multiple sets of such data, and using each set of data as a training sample. It should be noted that each set of training sample data can be acquired in the manner described in S101 in the first embodiment.
[0179] After collecting a large amount of training sample data, each training sample data can be sorted, classified and labeled manually according to the actual situation, that is, the crying sample baby is manually processed, and according to the response result of the sample baby, Mark t...
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