The invention relates to the technical field of intelligent helmets, and particularly discloses an event information pushing
system and method based on an intelligent riding helmet, the intelligent helmet is used for monitoring environment state data and comfort condition data during riding of a rider in real time, and a
time sequence analysis technology based on
deep learning is introduced to carry out
time sequence modeling analysis on the environment state data and the comfort condition data; the method comprises the following steps of: extracting
time sequence characteristic representation of an environment state and a
human body state according to an environment condition characteristic and a
human body state characteristic, and further performing interactive
response analysis based on a bidirectional attention mechanism on the environment state characteristic and the
human body state characteristic to mine potential influence of an environment condition on the human body state in a riding process of a rider and
adaptive change of the human body state on the environment condition; therefore, the riding
risk index under the current condition is intelligently estimated, and early warning notification of the corresponding
risk level is carried out based on the riding
risk index. Through the mode, the riding risk can be evaluated more accurately, so that the accuracy and timeliness of early warning notification are improved, and the riding safety of a rider is ensured.