	US 12,103,435 B2
	Model of automotive cabin based on biometric identification technology
Weinan Ju, Tianjin (CN); Zhipeng Sun, Tianjin (CN); Lijuan Cao, Tianjin (CN); Guokai Jiang, Tianjin (CN); Longfei He, Tianjin (CN); Baofeng Huo, Tianjin (CN); Jiaoyang Liu, Tianjin (CN); Quan Wen, Tianjin (CN); Liping Liu, Tianjin (CN); Qiujun Zhao, Tianjin (CN); Manna Wang, Tianjin (CN); Yongjian Zhu, Tianjin (CN); Shimeng Wang, Tianjin (CN); and Yu Su, Tianjin (CN)
Assigned to CATARC Software Testing (Tianjin) Co., Ltd., Tianjin (CN)
Filed by CATARC Software Testing (Tianjin) Co., Ltd., Tianjin (CN)
Filed on Apr. 25, 2022, as Appl. No. 17/660,617.
Claims priority of application No. 202110455502.3 (CN), filed on Apr. 26, 2021.
Prior Publication US 2022/0340049 A1, Oct. 27, 2022
Int. Cl. B60N 2/02 (2006.01); G06N 3/084 (2023.01)

CPC B60N 2/0244 (2013.01) [G06N 3/084 (2013.01); B60N 2/0268 (2023.08); B60N 2/0272 (2023.08)]

17 Claims

1. An algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology, comprising:

acquiring driving posture data, the driving posture data comprising driver information, automobile man-computer parameter information, and seat position information;

building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model;

building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model;

inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position; and

wherein the acquired driving posture data is preprocessed through following steps:

clustering the driving posture data;

detecting an outlier by calculating a Euclidean distance between a sample point and a clustering center; and

removing the outlier to obtain preprocessed sampled driving posture data.