Development of an AI-Integrated Smart Helmet for Motorcycle Accident Prevention: A Feasibility Study.

Abstract

Introduction: The purpose of this research was to develop a smart helmet, including emphasizing the AI integration and the device's role in enhancing road safety with a mechanism that stimulates the driver to recognize which vehicle is approaching and the speed levels of the vehicle while it is moving, and to assess the satisfaction and feasibility of drivers while using the smart helmet.

Methods: This study included 139 participants who were general people in Thailand. The research model consists of four research and development steps: research, design and development, implementation, and evaluation. The questionnaires included general information, satisfaction, and feasibility of using a smart helmet.

Results: The study showed that males had a greater number of participants (63.31%), aged between 21 and 40 years (64.03%), higher education (73.38%), and most of the participants were university students (90.64%). Overall, satisfaction with using smart helmets was high (mean = 4.20, SD = 0.83), and the overall possibility of using smart helmets was very high (mean = 4.33, SD = 0.75).

Conclusion: The participants' reflections indicated that smart helmets can be a possibility for further development and are highly feasible practical application devices. Moreover, the smart helmet is beneficial to riders in terms of warning functions to prevent and monitor accidents. Nurses and health care providers may use these results to develop programs or devices that can encourage people to be aware of harm on the road while riding motorcycles.