TY - JOUR
T1 - Closed-loop network of skin-interfaced wireless devices for quantifying vocal fatigue and providing user feedback
AU - Jeong, Hyoyoung
AU - Yoo, Jae Young
AU - Ouyang, Wei
AU - Greane, Aurora Lee Jean Xue
AU - Wiebe, Alexandra Jane
AU - Huang, Ivy
AU - Lee, Young Joong
AU - Lee, Jong Yoon
AU - Kim, Joohee
AU - Ni, Xinchen
AU - Kim, Suyeon
AU - Huynh, Huong Le Thien
AU - Zhong, Isabel
AU - Chin, Yu Xuan
AU - Gu, Jianyu
AU - Johnson, Aaron M.
AU - Brancaccio, Theresa
AU - Rogers, John A.
N1 - Publisher Copyright:
Copyright © 2023 the Author(s). Published by PNAS.
PY - 2023/2/28
Y1 - 2023/2/28
N2 - Vocal fatigue is a measurable form of performance fatigue resulting from overuse of the voice and is characterized by negative vocal adaptation. Vocal dose refers to cumulative exposure of the vocal fold tissue to vibration. Professionals with high vocal demands, such as singers and teachers, are especially prone to vocal fatigue. Failure to adjust habits can lead to compensatory lapses in vocal technique and an increased risk of vocal fold injury. Quantifying and recording vocal dose to inform individuals about potential overuse is an important step toward mitigating vocal fatigue. Previous work establishes vocal dosimetry methods, that is, processes to quantify vocal fold vibration dose but with bulky, wired devices that are not amenable to continuous use during natural daily activities; these previously reported systems also provide limited mechanisms for real-time user feedback. This study introduces a soft, wireless, skin-conformal technology that gently mounts on the upper chest to capture vibratory responses associated with vocalization in a manner that is immune to ambient noises. Pairing with a separate, wirelessly linked device supports haptic feedback to the user based on quantitative thresholds in vocal usage. A machine learning-based approach enables precise vocal dosimetry from the recorded data, to support personalized, real-time quantitation and feedback. These systems have strong potential to guide healthy behaviors in vocal use.
AB - Vocal fatigue is a measurable form of performance fatigue resulting from overuse of the voice and is characterized by negative vocal adaptation. Vocal dose refers to cumulative exposure of the vocal fold tissue to vibration. Professionals with high vocal demands, such as singers and teachers, are especially prone to vocal fatigue. Failure to adjust habits can lead to compensatory lapses in vocal technique and an increased risk of vocal fold injury. Quantifying and recording vocal dose to inform individuals about potential overuse is an important step toward mitigating vocal fatigue. Previous work establishes vocal dosimetry methods, that is, processes to quantify vocal fold vibration dose but with bulky, wired devices that are not amenable to continuous use during natural daily activities; these previously reported systems also provide limited mechanisms for real-time user feedback. This study introduces a soft, wireless, skin-conformal technology that gently mounts on the upper chest to capture vibratory responses associated with vocalization in a manner that is immune to ambient noises. Pairing with a separate, wirelessly linked device supports haptic feedback to the user based on quantitative thresholds in vocal usage. A machine learning-based approach enables precise vocal dosimetry from the recorded data, to support personalized, real-time quantitation and feedback. These systems have strong potential to guide healthy behaviors in vocal use.
KW - closed-loop network
KW - haptic feedback
KW - quantifying vocal fatigue
KW - real-time machine learning
KW - wearable electronics
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U2 - 10.1073/pnas.2219394120
DO - 10.1073/pnas.2219394120
M3 - Article
C2 - 36802437
AN - SCOPUS:85148396918
SN - 0027-8424
VL - 120
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 9
M1 - e2219394120
ER -