introduction
In the modernization process of electric bicycles, the role of human-machine interaction interface (HMI) is becoming increasingly prominent. It not only provides intuitive control of the vehicle's functions, but
also displays key riding data, enhancing the riding experience while providing the necessary safety assurance for the rider. With the continuous progress of science and technology, the human-computer
interaction interface of electric bicycles is developing towards a more intelligent, personalized and integrated direction.
The composition of human-computer interaction interface
The human-machine interface of an electric bicycle usually includes the following key parts:
Instrument panel:
Display speed, battery power, riding distance, power level and other important information, so that riders can grasp the status of the vehicle at any time.
Touch screen or button control:
Allows riders to adjust the power mode, switch display information, turn on/off auxiliary functions, etc., easy to operate.
Voice control and feedback:
Some high-end models have introduced voice recognition technology to control vehicle functions through voice commands, providing a safer riding experience.
Mobile application integration:
Many e-bikes support deeper customization and monitoring through mobile apps, such as setting riding patterns, viewing health data, planning routes, and more.
Safety warning system:
The integrated warning system can monitor vehicle status in real time, such as low battery warning, fault warning, and even provide collision warning in some cases.
Future trends of human-computer interface
Augmented reality (AR) display: Information is projected through the helmet or glasses, and data such as navigation and speed are directly displayed in the line of sight of the rider, reducing distraction.
Biometric authentication: The use of fingerprint or facial recognition technology to improve vehicle security and prevent unauthorized use.
Emotion recognition and health monitoring: The built-in sensor monitors the rider's emotional state and physiological indicators, such as heart rate and breathing rate, and provides personalized riding
recommendations.
Conclusion
The human-computer interaction interface is an important embodiment of the intelligence of electric bicycles, which not only simplifies the operation of the vehicle, but also enhances the safety and fun of
riding. With the deep integration of artificial intelligence and Internet of Things technology, the human-computer interaction interface of electric bicycles in the future will be more intelligent and personalized,
providing riders with a seamless, safe and efficient riding experience. The interaction between riders and e-bikes will no longer be limited to simple control and feedback, but towards a deeper emotional
exchange and health care direction.