Mobile terminal based pre-warning system for distractive walks

Abstract

The invention discloses a mobile terminal based pre-warning system for distractive walks, comprising a model training module and a real time detection module. The model training module conducts pre-treatment and model training based on the large amount of training data it has collected to generate a sample model for real time detection. The real time detection module, through the use of the mobile terminal, acquires the sample and conducts the pre-treatment. Based on the sample model generated by the model training module, the real time detection module conducts separate detections to the acquired samples. According to the results of the separate detections, decisions and judgments are made so that warnings can be made to a distractive user who walks out of a sidewalk. According to the invention, it is possible to make warnings to a user in advance before the user walks towards a dangerous zone. Without extra hardware arrangement, effective warnings can be made to the mobile terminal of a distractive walker, and the previous detection results can be effectively utilized. With high accuracy, the pre-warning system consumes less energy and can make judgments in advance.

Description

technical field [0001] The invention relates to the field of distracted walking safety, in particular to a "distracted walking" early warning system based on a mobile terminal. Background technique [0002] In real life, it is more and more frequent for pedestrians to be distracted by sending text messages and making phone calls on their mobile phones while walking, thus causing safety problems. A study from the State University of New York at Stony Brook found that people who texted while walking while distracted were 60 percent more likely to be involved in a traffic accident than those who walked normally. According to a report by the National Safety Council of the United States, between 2000 and 2011, more than 10,000 pedestrians were estimated to be injured in mobile phone accidents. In the prior art, technologies that use various sensors on the mobile terminal to solve this problem continue to emerge, such as using GPS to judge the location, using the accelerator and ...

AI Technical Summary

Problems solved by technology

In the prior art, technologies that use various sensors on the mobile terminal to solve this problem continue to emerge, such as using GPS to judge the location, using the accelerator and gyroscope to judge the status of the mobile phone, and using the microphone to judge the passing vehicles, etc., but there are certain defects. Such as low precision, energy consumption, etc.

The technology of using the camera of the mobile terminal to judge whether the pedestrian is safe by whether the camera captures the vehicle still has the defect that the accuracy rate is not high and the time left for the user to understand is too short after the alarm is issued.

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