Secondly, signal segmentation, feature extraction, and feature selection were made in the pre-processing phase. In the first phase, a data set of mobile phone users was collected using gyroscope sensors. In the methodology, this study discloses three useful stages. The present study focused on recognising mobile phone users’ pedestrian behaviours by proposing mobile phone users’ behaviour recognition model using a gyroscope sensor and ML algorithms. Distracted pedestrian behaviour is a substantial public health concern. ![]() ![]() Several studies have linked crash risk and distraction. ![]() The use of the mobile phone is related to unsafe crossing behaviour as they distractions on the road. Many people died in the street due to mobile phone using.
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