Research Article
Clinical Feedback and Technology Selection of Game Based Dysphonic Rehabilitation Tool
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2015.259135, author={zhihan lv and Chantal Esteve and Javier Chirivella and Pablo Gagliardo}, title={Clinical Feedback and Technology Selection of Game Based Dysphonic Rehabilitation Tool}, proceedings={9th International Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2015}, month={8}, keywords={dysphonic gamification voice game pitch detection}, doi={10.4108/icst.pervasivehealth.2015.259135} }- zhihan lv
Chantal Esteve
Javier Chirivella
Pablo Gagliardo
Year: 2015
Clinical Feedback and Technology Selection of Game Based Dysphonic Rehabilitation Tool
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2015.259135
Abstract
An assistive training tool software for rehabilitation of dysphonic patients is evaluated according to the practical clinical feedback from the treatments. One stroke sufferer and one parkinson sufferer have provided earnest suggestions for the improvement of our tool software. The assistive tool employs a serious game as the attractive logic part, and running on the tablet with normal microphone as input device. Seven pitch estimation algorithms have been evaluated and compared with selected patients voice database. A series of benchmarks have been generated during the evaluation process for technology selection.
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