Sound, Music and Wearable Computing for Rehabilitation and Learning: a Multidisciplinary Approach

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                Joint Seminar
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The Hong Kong University of Science & Technology
Department of Computer Science and Engineering
Human Language Technology Center
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Speaker:        Dr. Ye Wang
                School of Computing, National University of Singapore

Title:          "Sound, Music and Wearable Computing for Rehabilitation
                 and Learning: a Multidisciplinary Approach"

Date:           Tuesday, 23 May 2017

Time:           3:00pm to 4:00pm

Venue:          Lecture Theater H (near lifts 27/28), HKUST

Abstract:

The use of music as an aid for improving body and mind has received
enormous attention over the last 20 years from a wide range of
disciplines, including neuroscience, physical therapy, exercise science,
and psychological medicine. We have attempted to transform insights gained
from the scientific study of music, learning, and medicine into real-life
applications that can be delivered widely, effectively, and accurately. We
have been using music to enhance learning as well as to augment
evidence-based medicine. In this talk, I will describe tools to facilitate
the delivery of established music-enhanced therapies, harnessing the
synergy of sound and music computing (SMC), wearable computing, and cloud
computing technologies to promote learning and to facilitate disease
prevention, diagnosis, and treatment in both developed countries and
resource-poor developing countries. These tools are being developed as
part of ongoing research projects that combine wearable sensors,
smartphone apps, and cloud-based therapy delivery systems to facilitate
music-enhanced learning and music-enhanced physical therapy. Tracing the
seven-year journey of exploration from a student project to a dedicated
research theme, I will share what we have learnt from the exciting yet
challenging journey of multidisciplinary research. Finally, I will
introduce our PhD program as well as two relevant conferences in the
region to the audience (https://ismir2017.smcnus.org/;
http://www.colips.org/conferences/icot2017/).


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Biography:

Ye Wang is an Associate Professor in the Computer Science Department at
the National University of Singapore (NUS) and NUS Graduate School for
Integrative Sciences and Engineering (NGS). He established and directed
the sound and music computing (SMC) Lab (www.smcnus.org). Before joining
NUS he was a member of the technical staff at Nokia Research Center in
Tampere, Finland for 9 years. His research interests include sound
analysis and music information retrieval (MIR), wearable computing, and
cloud computing, and their applications in music edutainment, e-Learning,
and e-Health, as well as determining their effectiveness via subjective
and objective evaluations. His most recent projects involve the design and
evaluation of systems to support 1) therapeutic gait training using
Rhythmic Auditory Stimulation (RAS), 2) diagnosis and assessment of
Parkinson's disease using sensor data analytics, and 3) auditory training
and second language learning via speech and singing voice analysis.