Smart Patient Assistance System Using Sign Language to Speech Conversion with Flex Sensors
DOI:
https://doi.org/10.48047/kx0azv57Keywords:
Sign Language Recognition, Flex Sensors, Patient Assistance System, Speech Conversion, Embedded Systems, Arduino, Assistive Technology, Gesture Recognition, Text-to-Speech, Healthcare IoT.Abstract
Communication between patients with speech or hearing impairments and caregivers remains a significant challenge in healthcare environments. Traditional methods such as manual sign interpretation or written communication are often inefficient, time consuming, and prone to misinterpretation. To address this issue, this paper presents a Smart Patient Assistance System using Sign Language to Speech Conversion with Flex Sensors.The proposed system utilizes flex sensors embedded in a glove to detect finger movements corresponding to predefined sign language gestures. These sensors measure the bending of fingers and convert the
analog signals into digital data using a microcontroller. The processed signals are then mapped to specific words or phrases, which are converted into audible speech using a text-to-speech module.
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