
Tongue Parts
Simplified, Ultrasound Biofeedback System for Speech Therapy Use
Tongue Parts is a system that transforms complex tongue movements captured by ultrasound into real-time, user-specific visual feedback. Focusing on the challenging sounds /r/ and /l/, we use real-time ultrasound imaging and statistical analysis to track tongue motion and identify correct production targets.
Tongue-Tracking Technology
This project is part of a transdisciplinary research initiative involving Communication Sciences and Disorders, Engineering, Psychology, and Design. The Learning by Design team contributed by conducting co-design sessions with clinicians, developing a user interface for a gamified experience to be used during ultrasound therapy, and proposing a head stabilizer for the ultrasound probe to improve treatment consistency. Please visit the teams project webpage to learn more





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sewardr@ucmail.uc.edu
3080 Exploration Ave, Cincinnati, OH 45206
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Tongue Parts
Simplified, Ultrasound Biofeedback System for Speech Therapy Use
Tongue Parts is a system that transforms complex tongue movements captured by ultrasound into real-time, user-specific visual feedback. Focusing on the challenging sounds /r/ and /l/, we use real-time ultrasound imaging and statistical analysis to track tongue motion and identify correct production targets.
Tongue-Tracking Technology
This project is part of a transdisciplinary research initiative involving Communication Sciences and Disorders, Engineering, Psychology, and Design. The Learning by Design team contributed by conducting co-design sessions with clinicians, developing a user interface for a gamified experience to be used during ultrasound therapy, and proposing a head stabilizer for the ultrasound probe to improve treatment consistency. Please visit the teams project webpage to learn more: https://sites.google.com/view/ucspeechstudies/home.





The lead Pl on the project are Dr. Suzanne Boyce, Dr. Doug Mast, and Dr. Micheal Riley. The Learning by Design lab, as co- investigators, worked with the PI's to create the UI/UX of the technology and the head stablizer helmet.