TY - JOUR AU - Md Rozali, Sahazati binti AU - Mohd Nor, Rozilawati AU - Aliza Che Amran, AU - Saleha Mohd Saleh, AU - Iskandar Zulkarnain Hamzah, PY - 2021/04/30 Y2 - 2024/03/28 TI - Development of Smart Glove System for Blind People JF - International Journal of Electrical Engineering and Applied Sciences (IJEEAS) JA - IJEEAS VL - 4 IS - 1 SE - Articles DO - UR - https://ijeeas.utem.edu.my/ijeeas/article/view/6042 SP - AB - <p><em>In 2010, the Department of Welfare estimated to have about 64,000 registered blind </em><em>people in Malaysia and believed that the number increased as much as two times higher by </em><em>2020. Over the years, the tools typically used by blind people are stick and guide dogs. Blind </em><em>people use a stick around their feet to detect the presence of an object. However, by using this </em><em>method, blind people can only detect the object that is closer to them. Some blind people use </em><em>trained dogs to assist them in their movement. Again, by using this technique, their mobility is </em><em>also limited since they must depend on the dog. Recently, several electronic travel aids (ETA) </em><em>have been designed by using several techniques and sensors to ease this group of disabled </em><em>people. ETA is the common equipment that has been used by blind people to guide their </em><em>movement from one place to another. Thus, a smart glove system for blind people is proposed in </em><em>this research as an additional tool to the existing ETA. This system is developed by using </em><em>Arduino ATMega328, ultrasonic sensors, a vibrating motor, and a buzzer. C language is </em><em>implemented in microcontroller design. The performance of the designed system is analyzed by </em><em>using a ping test and mobility test based on the distance range between the wall, which functions </em><em>as the obstacle to the sensor. The results show that the closer the distance range, the higher the </em><em>reading of motor vibration and buzzer beeping rate.</em></p> ER -