An assistive interface protocol for communication between visually and hearing-speech impaired persons in internet platform

Abstract

Purpose

The article presents a design and development of a generic assistive system to establish an independent conversation-platform for hearing-speech impaired and visually impaired persons.

Materials

The developed software system is accomplished through programming using python and html.

Methods

Considering the constraints associated to the above mentioned impairments, the system implements both speech-to-text/gesture and text/gesture-to-speech conversion in its operation. In real-time hand-gesture to speech generation process is implemented using static image tracking, CNN based deep learning technique and MediaPipe hand-tracking solution. The software-prototype-terminals can be accessed through internet using MQTT protocol to accomplish the communicative conversation between visually impaired and hearing-speech impaired persons.

Results

The software system exhibits an average prediction time of less than approximately 1 s and 2 s for a four-letter based audio-word and a single hand-gesture, respectively, which are commensurate to the average time-complexity during human-to-human conversation. The average accuracy and loss for the hand-gestures through the CNN based deep learning are 0.9996 and 0.0008, respectively. The confusion matrix related to the prediction of alphabet-specific hand-gestures shows its satisfactory performance in gesture recognition.

Conclusions

The software-prototype of the generic assistive device shows its potential to establish an exclusive communication between a visually impaired and a hearing-speech impaired person through the internet. The same software-interface can also be used to accomplish a communicative conversation between either only visually-impaired persons or only hearing-speech impaired persons.

IMPLICATIONS FOR REHABILITATION

• The article presents a design and development of a generic assistive interface to establish an independent conversation-platform for hearing-speech impaired and visually impaired people via internet network.

• The same software-interface can also be used to accomplish a communicative conversation between either only visually-impaired persons or only hearing-speech impaired persons.

• The design can be further extended by incorporating multi-modal impairments to make a universal assistive device for all-in-one communication.

Keywords:

• Assistive technology
• visual impairment
• hearing impairment
• speech impairment
• convolution neural network
• CNN
• deep learning
• image processing
• MediaPipe

Disclosure statement

No potential conflict of interest was reported by the author(s).