Electric bicycle driver pressure load assessment method and system based on internal characteristics

• Main Authors: QIN PENGCHENG, BAI CHUNGUANG, FANG ZHIMING, HE JIE, ZHANG CHANGJIAN, YAN XINTONG, WU XIAOYU
• Format: Patent
• Language: Chinese; English
• Published: 06.08.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses an electric bicycle driver pressure load assessment method and system based on internal characteristics. The method comprises the steps that internal physiological and psychological data and driving video data of an electric bicycle driver are collected; dividing time units to extract objective physiological and subjective psychological characteristics of the electric bicycle driver; based on the physiological and psychological characteristics of the electric bicycle driver, comparing and screening an advantage three-dimensional clustering algorithm to carry out three-dimensional clustering analysis on the internal characteristics; and based on a three-dimensional clustering analysis result, combining a genetic algorithm optimization function, fitting a pressure load level division function, and accurately dividing the pressure load of the electric bicycle driver into different levels. According to the method, objective physiological features and subjective psychological features of th