S&M2944 Research Paper of Special Issue
Arduino-based Portable Evaluation System for Dysphagia Wen-An Lai, Shih-Hung Lin, and Yao-Chin Wang
(Received September 29, 2021; Accepted November 22, 2021)
Keywords: stroke, dysphagia, surface electromyography, Arduino-based
Visually impaired and blind people use several mobile phone applications that enable them to socially interact in social media platforms. However, photography is challenging for them since it requires focusing on a target object. To address this issue, we developed a haptic view finder to assist the user in locating an object within the image frame of a mobile phone application. The system is initialized through speech-to-text conversion to provide the system an input on what item the user wants to focus on. To guide the user, the device uses artificial intelligence and image processing to locate objects, and then provides a vibrotactile feedback to localize a target object’s location. Moreover, we evaluated the effectivity of the vibration through Eulerian motion magnification.
Corresponding author: Yao-Chin Wang