研究目的
To develop a system for detecting obstacles in the superior frontal plane to improve the mobility of people with visual impairment, focusing on avoiding frontal obstacles at face height that are not addressed by existing technologies.
研究成果
The proposed system effectively detects 80% of frontal obstacles at face height, providing a complementary tool to the traditional cane for people with visual impairment. It enhances mobility and independence, with potential for cost-effective mass production. Future improvements could involve extended detection ranges and integration with smartphone cameras.
研究不足
The system has a limited detection range (programmed to 45cm) and may not detect all obstacles accurately. It requires the use of a smartphone and Wi-Fi for the app functionality, which might not be accessible in all areas. Future work includes increasing the detection range and using additional sensors for better precision.
1：Experimental Design and Method Selection:
The system uses ultrasound sensors for obstacle detection, an Arduino Nano for processing, and a wireless communication module for alerts. An Android application is developed for information exchange. The design is based on low-cost, wireless, and user-friendly principles.
2：Sample Selection and Data Sources:
Twelve volunteers with visual impairment (8 with moderate visual disability and 4 with blindness) were selected to test the system in unfamiliar environments with obstacles like tree branches and elevated grills.
3：List of Experimental Equipment and Materials:
Ultrasound sensors, Arduino Nano, RF modules (433MHz), vibratory bracelet with micro motor, Android smartphones, and Wi-Fi for networking.
4：Experimental Procedures and Operational Workflow:
Sensors detect obstacles at a programmed distance of 45cm; data is processed by Arduino and transmitted wirelessly to a vibratory bracelet for alerts. The Android app allows voice and visual alerts for user communication in a server-client network over Wi-Fi.
5：Data Analysis Methods:
The percentage of obstacles detected and evaded was calculated from tests conducted on volunteers walking random routes of 1.420 to 2.250 meters with 7 to 12 obstacles present.
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